Emily R. Leeming

3.3k total citations · 1 hit paper
16 papers, 937 citations indexed

About

Emily R. Leeming is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Physiology. According to data from OpenAlex, Emily R. Leeming has authored 16 papers receiving a total of 937 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Public Health, Environmental and Occupational Health and 8 papers in Physiology. Recurrent topics in Emily R. Leeming's work include Nutritional Studies and Diet (8 papers), Gut microbiota and health (8 papers) and Diet and metabolism studies (5 papers). Emily R. Leeming is often cited by papers focused on Nutritional Studies and Diet (8 papers), Gut microbiota and health (8 papers) and Diet and metabolism studies (5 papers). Emily R. Leeming collaborates with scholars based in United Kingdom, United States and Italy. Emily R. Leeming's co-authors include Tim D. Spector, Caroline Le Roy, Abigail J. Johnson, Rachel Gibson, Cristina Menni, Panayiotis Louca, Nicola Segata, Sarah Berry, Jonathan Wolf and Francesco Asnicar and has published in prestigious journals such as Nature Communications, Gut and Nutrients.

In The Last Decade

Emily R. Leeming

14 papers receiving 928 citations

Hit Papers

Effect of Diet on the Gut Microbiota: Rethinking Interven... 2019 2026 2021 2023 2019 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Emily R. Leeming United Kingdom 8 626 383 177 124 109 16 937
Madeline A. Topf United States 5 644 1.0× 337 0.9× 233 1.3× 216 1.7× 127 1.2× 6 1.1k
Zelei Miao China 16 670 1.1× 320 0.8× 176 1.0× 74 0.6× 104 1.0× 39 1.1k
Benjamin Pontefract United States 7 513 0.8× 289 0.8× 100 0.6× 99 0.8× 102 0.9× 12 847
Cody A. Black United States 5 519 0.8× 290 0.8× 94 0.5× 102 0.8× 101 0.9× 7 816
Tzu-Wen Cross United States 19 682 1.1× 340 0.9× 97 0.5× 107 0.9× 90 0.8× 52 1.1k
Natividad Castro-Alarcón Mexico 9 850 1.4× 597 1.6× 138 0.8× 86 0.7× 137 1.3× 29 1.3k
Paul A. Gill Australia 14 492 0.8× 357 0.9× 143 0.8× 133 1.1× 66 0.6× 26 860
Vanessa Corrales-Agudelo Colombia 7 901 1.4× 584 1.5× 139 0.8× 85 0.7× 139 1.3× 10 1.1k
Hannah C. Wastyk United States 8 832 1.3× 416 1.1× 275 1.6× 252 2.0× 135 1.2× 10 1.3k
Ruijun Han United States 10 704 1.1× 446 1.2× 94 0.5× 76 0.6× 104 1.0× 12 1.0k

Countries citing papers authored by Emily R. Leeming

Since Specialization
Citations

This map shows the geographic impact of Emily R. Leeming's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Emily R. Leeming with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily R. Leeming more than expected).

Fields of papers citing papers by Emily R. Leeming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily R. Leeming. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Emily R. Leeming. The network helps show where Emily R. Leeming may publish in the future.

Co-authorship network of co-authors of Emily R. Leeming

This figure shows the co-authorship network connecting the top 25 collaborators of Emily R. Leeming. A scholar is included among the top collaborators of Emily R. Leeming based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Emily R. Leeming. Emily R. Leeming is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Wang, Chen, Mengxi Du, Hanseul Kim, et al.. (2025). Ultraprocessed Food Consumption and Risk of Early-Onset Colorectal Cancer Precursors Among Women. JAMA Oncology. 12(1). 49–49.
2.
Pope, Richard S., Alessia Visconti, Xinyuan Zhang, et al.. (2025). Faecal metabolites as a readout of habitual diet capture dietary interactions with the gut microbiome. Nature Communications. 16(1). 10051–10051.
3.
Bolte, Laura A., Karla A. Lee, Johannes R. Björk, et al.. (2023). Association of a Mediterranean Diet With Outcomes for Patients Treated With Immune Checkpoint Blockade for Advanced Melanoma. JAMA Oncology. 9(5). 705–705. 51 indexed citations
4.
Bermingham, Kate, Anna May, Francesco Asnicar, et al.. (2023). Snack quality and snack timing are associated with cardiometabolic blood markers: the ZOE PREDICT study. European Journal of Nutrition. 63(1). 121–133. 5 indexed citations
5.
Roy, Caroline Le, Alexander Kurilshikov, Emily R. Leeming, et al.. (2022). Yoghurt consumption is associated with changes in the composition of the human gut microbiome and metabolome. BMC Microbiology. 22(1). 39–39. 58 indexed citations
6.
Leeming, Emily R., Olatz Mompeó, Ruth C. E. Bowyer, et al.. (2022). Characterisation, procedures and heritability of acute dietary intake in the Twins UK cohort: an observational study. Nutrition Journal. 21(1). 13–13. 4 indexed citations
7.
Leeming, Emily R., et al.. (2022). The association between ultra-processed food consumption and obesity in the ZOE PREDICT 1 cohort in the United Kingdom. Proceedings of The Nutrition Society. 81(OCE1). 1 indexed citations
8.
Leeming, Emily R., Panayiotis Louca, Rachel Gibson, et al.. (2021). The complexities of the diet-microbiome relationship: advances and perspectives. Genome Medicine. 13(1). 10–10. 69 indexed citations
9.
Asnicar, Francesco, Emily R. Leeming, Eirini Dimidi, et al.. (2021). Blue poo: impact of gut transit time on the gut microbiome using a novel marker. Gut. 70(9). 1665–1674. 119 indexed citations
10.
Menni, Cristina, Panayiotis Louca, Sarah Berry, et al.. (2021). High intake of vegetables is linked to lower white blood cell profile and the effect is mediated by the gut microbiome. BMC Medicine. 19(1). 37–37. 34 indexed citations
11.
Berry, Sarah, José M. Ordovás, Francesco Asnicar, et al.. (2020). Influence of Gut Microbial Communities on Fasting and Postprandial Lipids and Circulating Metabolites: The PREDICT 1 Study. Current Developments in Nutrition. 4. nzaa062_004–nzaa062_004. 1 indexed citations
12.
Louca, Panayiotis, Olatz Mompeó, Emily R. Leeming, et al.. (2020). Dietary Influence on Systolic and Diastolic Blood Pressure in the TwinsUK Cohort. Nutrients. 12(7). 2130–2130. 15 indexed citations
13.
Spector, Tim D., Francesco Asnicar, Sarah Berry, et al.. (2020). Microbiome Signatures of Nutrients, Foods and Dietary Patterns: Potential for Personalized Nutrition from The PREDICT 1 Study. Current Developments in Nutrition. 4. nzaa062_044–nzaa062_044. 2 indexed citations
14.
Leeming, Emily R., Abigail J. Johnson, Tim D. Spector, & Caroline Le Roy. (2019). Effect of Diet on the Gut Microbiota: Rethinking Intervention Duration. Nutrients. 11(12). 2862–2862. 559 indexed citations breakdown →
15.
Cowan, Stephanie, Emily R. Leeming, Andrew J. Sinclair, et al.. (2019). Effect of whole foods and dietary patterns on markers of subclinical inflammation in weight-stable overweight and obese adults: a systematic review. Nutrition Reviews. 78(1). 19–38. 17 indexed citations
16.
Cowan, Stephanie, Emily R. Leeming, Andrew J. Sinclair, et al.. (2019). Effect of whole foods and dietary patterns on markers of subclinical inflammation in weight stable overweight and obese adults – A Systematic Literature Review. Obesity Research & Clinical Practice. 13(3). 281–281. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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