Sean M. Gibbons

39.7k total citations · 6 hit papers
85 papers, 7.3k citations indexed

About

Sean M. Gibbons is a scholar working on Molecular Biology, Ecology and Physiology. According to data from OpenAlex, Sean M. Gibbons has authored 85 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Molecular Biology, 20 papers in Ecology and 19 papers in Physiology. Recurrent topics in Sean M. Gibbons's work include Gut microbiota and health (57 papers), Microbial Community Ecology and Physiology (20 papers) and Diet and metabolism studies (16 papers). Sean M. Gibbons is often cited by papers focused on Gut microbiota and health (57 papers), Microbial Community Ecology and Physiology (20 papers) and Diet and metabolism studies (16 papers). Sean M. Gibbons collaborates with scholars based in United States, China and Austria. Sean M. Gibbons's co-authors include Jack A. Gilbert, Eric J. Alm, Claire Duvallet, Christian Diener, Thomas Gurry, Rafael A. Irizarry, Nathan D. Price, Andrew T. Magis, Jennifer C. Lovejoy and Jarrad Hampton‐Marcell and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

Sean M. Gibbons

80 papers receiving 7.3k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Meta-analysis of gut microbiome studies identifies disease-specific and shared responses

2017 675 citations Sean M. Gibbons, Thomas Gurry et al. Nature Communications profile →
Effects of Diurnal Variation of Gut Microbes and High-Fat Feeding on Host Circadian Clock Function and Metabolism

2015 643 citations Sean M. Gibbons, Jack A. Gilbert et al. profile →
Longitudinal analysis of microbial interaction between humans and the indoor environment

2014 633 citations Simon Lax, Daniel P. Smith et al. Science profile →
Health and disease markers correlate with gut microbiome composition across thousands of people

2020 550 citations Ohad Manor, Chengzhen L. Dai et al. Nature Communications profile →
Subsampled open-reference clustering creates consistent, comprehensive OTU definitions and scales to billions of sequences

2014 421 citations Luke K. Ursell, Sean M. Gibbons et al. PeerJ profile →
Adaptive Evolution within Gut Microbiomes of Healthy People

2019 254 citations Mathilde Poyet, Sean M. Gibbons et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sean M. Gibbons United States	42	4.3k	1.5k	1.3k	805	724	85	7.3k
Embriette R. Hyde United States	23	5.1k 1.2×	1.6k 1.1×	1.3k 1.0×	714 0.9×	795 1.1×	33	9.0k
Nielson T. Baxter United States	16	4.5k 1.0×	1.7k 1.1×	848 0.7×	616 0.8×	875 1.2×	21	7.9k
Waleed Abu Al‐Soud Denmark	46	4.6k 1.1×	2.0k 1.3×	1.3k 1.0×	914 1.1×	1.1k 1.5×	99	9.8k
Barbara A. Methé United States	39	5.0k 1.2×	2.4k 1.6×	942 0.7×	726 0.9×	880 1.2×	98	9.8k
Justin Kuczynski United States	18	4.0k 0.9×	1.3k 0.9×	855 0.7×	405 0.5×	786 1.1×	18	6.5k
Hongwei Zhou China	51	5.3k 1.2×	1.1k 0.7×	1.6k 1.2×	500 0.6×	1.1k 1.5×	174	9.1k
Amnon Amir United States	29	4.1k 1.0×	1.2k 0.8×	751 0.6×	429 0.5×	786 1.1×	67	6.6k
Zhenjiang Zech Xu China	36	6.5k 1.5×	1.6k 1.1×	1.6k 1.2×	822 1.0×	1.1k 1.6×	94	10.1k
Sathish Subramanian United States	12	4.3k 1.0×	1.2k 0.8×	939 0.7×	884 1.1×	1.1k 1.5×	17	7.4k
Yoshiki Vázquez‐Baeza United States	33	5.0k 1.2×	998 0.7×	986 0.8×	475 0.6×	1.2k 1.7×	48	7.6k

Countries citing papers authored by Sean M. Gibbons

Since Specialization

Citations

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

Fields of papers citing papers by Sean M. Gibbons

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sean M. Gibbons. 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 Sean M. Gibbons. The network helps show where Sean M. Gibbons may publish in the future.

Co-authorship network of co-authors of Sean M. Gibbons

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

All Works

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20 of 20 papers shown

Carr, Alex V., et al.. (2025). Metagenomic estimation of absolute bacterial biomass in the mammalian gut through host-derived read normalization. mSystems. 10(8). e0098425–e0098425.

Diener, Christian, et al.. (2025). Understanding disease-associated metabolic changes in human colonic epithelial cells using the iColonEpithelium metabolic reconstruction. PLoS Computational Biology. 21(7). e1013253–e1013253.

Byrne, Adam J., Christian Diener, Brandon S. Maust, et al.. (2024). Neonates exposed to HIV but uninfected exhibit an altered gut microbiota and inflammation associated with impaired breast milk antibody function. Microbiome. 12(1). 261–261. 4 indexed citations

Simmons, Ruth, et al.. (2024). Meta-analysis of the human upper respiratory tract microbiome reveals robust taxonomic associations with health and disease. BMC Biology. 22(1). 93–93. 3 indexed citations

Watanabe, Kengo, Tomasz Wilmanski, Christian Diener, et al.. (2023). Multiomic signatures of body mass index identify heterogeneous health phenotypes and responses to a lifestyle intervention. Nature Medicine. 29(4). 996–1008. 71 indexed citations

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

Diener, Christian, Chengzhen L. Dai, Tomasz Wilmanski, et al.. (2022). Genome–microbiome interplay provides insight into the determinants of the human blood metabolome. Nature Metabolism. 4(11). 1560–1572. 59 indexed citations

Zimmer, Anat, Yael Korem, Noa Rappaport, et al.. (2021). The geometry of clinical labs and wellness states from deeply phenotyped humans. Nature Communications. 12(1). 3578–3578. 10 indexed citations

Wilmanski, Tomasz, Noa Rappaport, Christian Diener, Sean M. Gibbons, & Nathan D. Price. (2021). From taxonomy to metabolic output: what factors define gut microbiome health?. Gut Microbes. 13(1). 1–20. 29 indexed citations

10.

Manor, Ohad, Chengzhen L. Dai, Sergey A. Kornilov, et al.. (2020). Health and disease markers correlate with gut microbiome composition across thousands of people. Nature Communications. 11(1). 5206–5206. 550 indexed citations breakdown →

11.

Levy, Roie, Andrew T. Magis, John C. Earls, et al.. (2020). Longitudinal analysis reveals transition barriers between dominant ecological states in the gut microbiome. Proceedings of the National Academy of Sciences. 117(24). 13839–13845. 44 indexed citations

12.

Diener, Christian, Sean M. Gibbons, & Osbaldo Reséndis-Antonio. (2020). MICOM: Metagenome-Scale Modeling To Infer Metabolic Interactions in the Gut Microbiota. mSystems. 5(1). 178 indexed citations

13.

Carr, Alex V., Christian Diener, Nitin S. Baliga, & Sean M. Gibbons. (2019). Use and abuse of correlation analyses in microbial ecology. The ISME Journal. 13(11). 2647–2655. 185 indexed citations

14.

Xiang, Xingjia, Sean M. Gibbons, Li He, Haihua Shen, & Haiyan Chu. (2019). Proximate grassland and shrub-encroached sites show dramatic restructuring of soil bacterial communities. PeerJ. 7. e7304–e7304. 9 indexed citations

15.

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

16.

Xiang, Xingjia, Sean M. Gibbons, Jin He, et al.. (2016). Rapid response of arbuscular mycorrhizal fungal communities to short-term fertilization in an alpine grassland on the Qinghai-Tibet Plateau. PeerJ. 4. e2226–e2226. 30 indexed citations

17.

Torres, Pedro J., et al.. (2015). Characterization of the salivary microbiome in patients with pancreatic cancer. PeerJ. 3. e1373–e1373. 159 indexed citations

18.

Lax, Simon, Daniel P. Smith, Jarrad Hampton‐Marcell, et al.. (2014). Longitudinal analysis of microbial interaction between humans and the indoor environment. Science. 345(6200). 1048–1052. 633 indexed citations breakdown →

19.

Gibbons, Sean M., J. Gregory Caporaso, Meg Pirrung, et al.. (2013). Evidence for a persistent microbial seed bank throughout the global ocean. Proceedings of the National Academy of Sciences. 110(12). 4651–4655. 180 indexed citations

20.

Gibbons, Sean M., Harald Schunck, Sarah M. Owens, et al.. (2013). Ocean acidification shows negligible impacts on high-latitude bacterial community structure in coastal pelagic mesocosms. Biogeosciences. 10(1). 555–566. 51 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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