Thomas Gurry

4.1k total citations · 2 hit papers
32 papers, 2.4k citations indexed

About

Thomas Gurry is a scholar working on Molecular Biology, Physiology and Infectious Diseases. According to data from OpenAlex, Thomas Gurry has authored 32 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 14 papers in Physiology and 8 papers in Infectious Diseases. Recurrent topics in Thomas Gurry's work include Gut microbiota and health (18 papers), Diet and metabolism studies (10 papers) and Clostridium difficile and Clostridium perfringens research (8 papers). Thomas Gurry is often cited by papers focused on Gut microbiota and health (18 papers), Diet and metabolism studies (10 papers) and Clostridium difficile and Clostridium perfringens research (8 papers). Thomas Gurry collaborates with scholars based in United States, Switzerland and United Kingdom. Thomas Gurry's co-authors include Eric J. Alm, Sean M. Gibbons, Claire Duvallet, Rafael A. Irizarry, Collin M. Stultz, Chao Zhong, Allen A. Cheng, Timothy K. Lu, Jordan Downey and Zhengtao Deng and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Bioinformatics.

In The Last Decade

Thomas Gurry

31 papers receiving 2.4k citations

Hit Papers

Meta-analysis of gut microbiome studies identifies diseas... 2017 2026 2020 2023 2017 2017 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Gurry United States 20 1.6k 488 444 373 204 32 2.4k
Eiji Ishikawa Japan 35 2.9k 1.8× 641 1.3× 455 1.0× 431 1.2× 312 1.5× 231 5.8k
Poonam Sharma United States 35 1.5k 0.9× 327 0.7× 328 0.7× 750 2.0× 600 2.9× 122 4.9k
Carolina Tropini United States 20 1.7k 1.1× 243 0.5× 389 0.9× 165 0.4× 209 1.0× 41 2.6k
Franco H. Falcone United Kingdom 35 772 0.5× 760 1.6× 314 0.7× 302 0.8× 404 2.0× 145 4.1k
Merritt Gillilland United States 15 1.2k 0.7× 313 0.6× 368 0.8× 205 0.5× 220 1.1× 33 2.2k
Calum C. Bain United Kingdom 30 1.6k 1.0× 378 0.8× 345 0.8× 438 1.2× 765 3.8× 49 5.7k
Takashi Onodera Japan 37 2.2k 1.4× 379 0.8× 691 1.6× 691 1.9× 1.1k 5.2× 245 5.9k
Eva J. Helmerhorst United States 41 1.9k 1.2× 1.1k 2.2× 454 1.0× 456 1.2× 271 1.3× 84 5.0k
Édith Puchelle France 50 2.0k 1.3× 930 1.9× 301 0.7× 572 1.5× 737 3.6× 220 7.4k

Countries citing papers authored by Thomas Gurry

Since Specialization
Citations

This map shows the geographic impact of Thomas Gurry'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 Thomas Gurry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Gurry more than expected).

Fields of papers citing papers by Thomas Gurry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Gurry. 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 Thomas Gurry. The network helps show where Thomas Gurry may publish in the future.

Co-authorship network of co-authors of Thomas Gurry

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Gurry. A scholar is included among the top collaborators of Thomas Gurry 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 Thomas Gurry. Thomas Gurry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Varesio, Emmanuel, Sébastien Tardy, Léonardo Scapozza, et al.. (2025). Characterising high-resolution dynamics of inflammatory and SCFA responses to food consumption in healthy men: A pilot biomarker discovery study. Cytokine. 193. 156990–156990.
3.
Wilmanski, Tomasz, Lisa Levy, Johanna W. Lampe, et al.. (2024). Microbial community-scale metabolic modelling predicts personalized short-chain fatty acid production profiles in the human gut. Nature Microbiology. 9(7). 1700–1712. 41 indexed citations
4.
Gibbons, Sean M., Thomas Gurry, Johanna W. Lampe, et al.. (2022). Perspective: Leveraging the Gut Microbiota to Predict Personalized Responses to Dietary, Prebiotic, and Probiotic Interventions. Advances in Nutrition. 13(5). 1450–1461. 59 indexed citations
5.
Gurry, Thomas, Le Thanh Tu Nguyen, Xiaoqian Yu, & Eric J. Alm. (2021). Functional heterogeneity in the fermentation capabilities of the healthy human gut microbiota. PLoS ONE. 16(7). e0254004–e0254004. 24 indexed citations
6.
Yu, Xiaoqian, et al.. (2020). Prebiotics and Community Composition Influence Gas Production of the Human Gut Microbiota. mBio. 11(5). 37 indexed citations
7.
Marizzoni, Moira, Thomas Gurry, Stefania Provasi, et al.. (2020). Comparison of Bioinformatics Pipelines and Operating Systems for the Analyses of 16S rRNA Gene Amplicon Sequences in Human Fecal Samples. Frontiers in Microbiology. 11. 1262–1262. 50 indexed citations
8.
Gurry, Thomas & Léonardo Scapozza. (2020). Exploiting the gut microbiota’s fermentation capabilities towards disease prevention. Journal of Pharmaceutical and Biomedical Analysis. 189. 113469–113469. 4 indexed citations
9.
Brito, Ilana, Thomas Gurry, Shijie Zhao, et al.. (2019). Transmission of human-associated microbiota along family and social networks. Nature Microbiology. 4(6). 964–971. 135 indexed citations
10.
Kearney, Sean M., Sean M. Gibbons, Mathilde Poyet, et al.. (2018). Endospores and other lysis-resistant bacteria comprise a widely shared core community within the human microbiota. The ISME Journal. 12(10). 2403–2416. 36 indexed citations
11.
Sinha, Trishla, Arnau Vich Vila, Sanzhima Garmaeva, et al.. (2018). Analysis of 1135 gut metagenomes identifies sex-specific resistome profiles. Gut Microbes. 10(3). 358–366. 140 indexed citations
12.
Gurry, Thomas, Paul H. Dannenberg, Samuel G. Finlayson, et al.. (2018). Predictability and persistence of prebiotic dietary supplementation in a healthy human cohort. Scientific Reports. 8(1). 12699–12699. 34 indexed citations
13.
Olesen, Scott W., Thomas Gurry, & Eric J. Alm. (2017). Designing fecal microbiota transplant trials that account for differences in donor stool efficacy. Statistical Methods in Medical Research. 27(10). 2906–2917. 13 indexed citations
14.
Duvallet, Claire, Sean M. Gibbons, Thomas Gurry, Rafael A. Irizarry, & Eric J. Alm. (2017). Meta-analysis of gut microbiome studies identifies disease-specific and shared responses. Nature Communications. 8(1). 1784–1784. 675 indexed citations breakdown →
15.
16.
Bajaj, Jasmohan S., Zain Kassam, Andrew Fagan, et al.. (2017). Fecal microbiota transplant from a rational stool donor improves hepatic encephalopathy: A randomized clinical trial. Hepatology. 66(6). 1727–1738. 439 indexed citations breakdown →
17.
Gurry, Thomas, et al.. (2015). Analyzing Ensembles of Amyloid Proteins Using Bayesian Statistics. Methods in molecular biology. 1345. 269–280. 4 indexed citations
18.
Zhong, Chao, Thomas Gurry, Allen A. Cheng, et al.. (2014). Strong underwater adhesives made by self-assembling multi-protein nanofibres. Nature Nanotechnology. 9(10). 858–866. 381 indexed citations
19.
Gurry, Thomas, et al.. (2014). Toward a consensus in protein structure nomenclature. PubMed. 2(1). e970902–e970902. 2 indexed citations
20.
Gurry, Thomas, Ozan Kahramanoğulları, & Robert G. Endres. (2009). Biophysical Mechanism for Ras-Nanocluster Formation and Signaling in Plasma Membrane. PLoS ONE. 4(7). e6148–e6148. 27 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026