Magdalena WybraniecPL
Diet · research review

How I found out why walnuts get all the hype and other nuts don't

Everyone tells you to eat walnuts “because they're healthy”. First I checked how they compare with other nuts on omega-3 (spoiler: brilliantly). Then I went through 180 PubMed studies: does the omega-6 to omega-3 ratio matter for health at all? Along the way I also came across something more interesting: urolithin A.

PubMed query: Papers: Addressing the thesis: As of:

It was supposed to be a simple idea. I wanted to work out how anti-inflammatory my diet is. There is a ready-made tool for that, the Dietary Inflammatory Index (DII), which turns what you ate into a single score: below zero is anti-inflammatory, above zero is pro-inflammatory. I thought it would take fifteen minutes.

My first score came out pro-inflammatory. It quickly turned out that this was not only the food's fault, but also the app's: in my calorie counter half of the products had no vitamins or minerals filled in. My favourite cheese had zero zinc, and my nut mix zero magnesium. So I started filling in the data, product by product.

With the nuts I was looking up omega-3 and omega-6 and came across a table: hazelnuts, omega-6 to omega-3 ratio 90:1. I thought: oh, great, that's a lot! But then I snapped out of it – of course, it's the other way round. For 90 parts of omega-6 there is one part of omega-3, and omega-3 is exactly what we want. A ratio of 4:1 or less is considered good.

Then I checked the other nuts. Cashews 125:1. And almonds 2010:1. I laughed for a few minutes. Almonds win the category “least omega-3 in the world”.

Finally, walnuts: 4:1. They are the only popular nut with really a lot of omega-3, about 9 g per 100 g. And that is when I finally understood why everyone tells you to eat walnuts specifically, and not just “some nuts”. But as it turned out, that was only halfway to discovering what makes walnuts special.

Because there is a catch. In nuts, omega-3 comes as ALA, the plant form, and the body turns it into the anti-inflammatory EPA and DHA poorly, and in men very poorly. That is why even walnuts will not replace fish or a supplement.

Still, I wanted to dig deeper into walnuts. First I checked the research on whether they calm inflammation. The result was so-so, so I looked for something better. Things got more interesting with the omega-6 to omega-3 ratio: some papers say it matters enormously, others that it does not matter at all. So that is what I put under the microscope.

But since my searches turned up a few “titbits”, I will write about one. Walnuts contain ellagitannins (a type of polyphenol). Gut bacteria turn them into urolithin A, the same compound that, as a supplement, is getting more and more hype in the biohacking world as a mitochondria booster (the cell's power plants). Not to mention that mitochondria themselves are hyped right now 🙂 Interestingly, not everyone's microbiota can make urolithin A: depending on the study, 5–25% of people do not produce it at all (review, 2014).

And this is where it gets interesting, because it turns out that what urolithin A does overlaps to a large extent with the claims about walnuts being “good for the brain”: better brain structure and function, better mood and less inflammation. On top of that, both urolithin A and walnuts are strongly associated with longevity in the public discourse of the longevity world.

But since I wanted to dig into one specific topic around these nuts, I landed on the omega-6/omega-3 ratio – below is what came out of it. And in the conclusions at the bottom, my condensed verdict on walnuts (as condensed as their nutrient density 😉).

Thesis:

What do the best studies say?

A stopgap until we assess methodology: only meta-analyses and randomised controlled trials (RCTs) in humans. Ordered by journal rank – SJR from SCImago (citation prestige; Q1–Q4 = quarter of journals in the field, Q1 = top 25%) – not by the quality of the study itself – that assessment from full texts is in preparation. Number of people, duration and methodology notes – from the abstracts.
ⓘ How to read the tags · or hover over one
How to read the tags
17 people2 wkhealthyhow many people were studied, for how long and who.
Q1quarter of journals in the field: Q1 = top 25%, Q4 = bottom. It is a broad group – only SJR tells the journals inside it apart: just 4% of journals score above 2, and fewer than 1% above 5.
SJRjournal rank (SCImago) – higher is better. Half of all journals score below 0.33.
RCRhow often this particular paper is cited compared with its field – higher is better: 1 = average, 2 = twice as often. Papers from the last ~2 years have a provisional value (~) or none at all – not because they are weak, but because too little time has passed.
hjournal h-index – higher means more established, but it also grows with the sheer number of papers, so very high-volume journals get an inflated score.

How strong is the evidence behind each answer?

How to read it: bar length = number of papers, colour = level of evidence from sage (strongest: randomised clinical trials in humans) to brown (weakest: cells in a dish). An answer with a lot of sage and blue is backed by human studies; an answer with only ochre and grey rests on animals, cells and reviews of other people's work.
A · RCT in humans (strongest)B · observational in humansC · animalsD · cells (weakest)R · review (secondary)

How strong are the journals behind the YES / NO / MIXED studies? SJR

How to read it: each dot is one paper, the further right the higher the journal ranks in SJR (SCImago). SJR counts not only how many citations a journal receives but also where they come from: a citation from Cell weighs more than one from a small journal, so sheer volume of papers does not inflate it (which is why megajournals that rank high on the h-index drop here). Log scale: the ticks are 0, 1, 3, 10. The vertical line = the group median. Hover over a dot to see the title. Papers in journals outside Scopus (e.g. Cureus, preprints) have no SJR and are not shown.

How often are the YES / NO / MIXED papers cited – compared with their own field? RCR (NIH)

How to read it: each dot is one paper. RCR (Relative Citation Ratio, NIH iCite) says how many times more often a paper is cited than a typical paper in its field, per year: 1 = average, 2 = twice as often, 0.5 = half as often. It evens out the paper's age and differences between fields, so an old paper does not win just because it is old. Log scale, line = group median. Papers from the last ~2 years have only a provisional RCR or none – they are not on the chart, and provisional values are marked "~" in the table. Raw citation counts are in the table and on hover.

How strong are the journals behind the YES / NO / MIXED studies? h-index

How to read it: the same question as with SJR, an older and simpler measure: each dot is one paper, the further right the more established the journal (OpenAlex h-index: how many of the journal's articles have at least that many citations). The vertical line = the group median, i.e. the typical journal for that answer. Hover over a dot to see the title. Caveat: the h-index favours big, old, broad titles (Science has 1750, a good specialist quarterly 60–250), and a commentary in Science is still just a commentary – the strength of evidence is shown by the first chart, not this one.

How have the findings shifted over the years?

How to read it: one bar = one publication year, split into YES, NO and MIXED ("not applicable" papers left out). It shows whether the topic is accelerating and whether new papers pull in one direction or the dispute is sharpening. Hover over a segment to see the count.
YESNOMIXED

All papers

Sorted by: stance → level of evidence → citations. "Not applicable" papers at the end. Links go to PubMed, DOI and, where available, the open-access full text.
StanceLevelYearJournal · quartile · SJR · hCit. · RCRTitle

Spotted a flaw? Have other data?

If you see a problem in this review that you have concrete evidence for – a misjudged paper, a missed study, a wrong number – write to me.

I read and carefully check every report, and I respond to each one.
A review of PubMed abstracts (as of ); the YES / NO / MIXED split was made by Claude (AI) from the authors' conclusions, full texts have not been read yet. This is not medical advice – if you have a medical condition, make decisions about diet and supplements with your doctor.