Eric J. Alm

88.8k total citations · 13 hit papers
187 papers, 19.2k citations indexed

About

Eric J. Alm is a scholar working on Molecular Biology, Infectious Diseases and Ecology. According to data from OpenAlex, Eric J. Alm has authored 187 papers receiving a total of 19.2k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Molecular Biology, 50 papers in Infectious Diseases and 49 papers in Ecology. Recurrent topics in Eric J. Alm's work include Gut microbiota and health (71 papers), Genomics and Phylogenetic Studies (47 papers) and Microbial Community Ecology and Physiology (42 papers). Eric J. Alm is often cited by papers focused on Gut microbiota and health (71 papers), Genomics and Phylogenetic Studies (47 papers) and Microbial Community Ecology and Physiology (42 papers). Eric J. Alm collaborates with scholars based in United States, Singapore and Greece. Eric J. Alm's co-authors include Jonathan Friedman, David Baker, Lawrence A. David, Martin F. Polz, Adam P. Arkin, Mark Smith, Claire Duvallet, Christopher S. Smillie, Sean M. Gibbons and William P. Hanage and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Eric J. Alm

182 papers receiving 19.0k citations

Hit Papers

Inferring Correlation Networks from Genomic ... 1999 2026 2008 2017 2012 2017 2014 2011 2020 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric J. Alm United States 70 12.0k 4.0k 3.4k 2.2k 1.4k 187 19.2k
Daniel McDonald United States 47 13.3k 1.1× 4.6k 1.1× 2.4k 0.7× 1.5k 0.7× 1.5k 1.1× 116 22.8k
Thomas M. Schmidt United States 66 8.9k 0.7× 6.1k 1.5× 2.4k 0.7× 1.4k 0.6× 1.7k 1.3× 204 20.2k
Paul Stoodley United States 78 16.0k 1.3× 3.2k 0.8× 2.6k 0.8× 1.5k 0.7× 2.2k 1.6× 262 29.5k
Weizhong Li United States 45 16.8k 1.4× 5.6k 1.4× 1.4k 0.4× 2.3k 1.0× 1.1k 0.8× 130 25.7k
Ashlee M. Earl United States 42 10.5k 0.9× 3.2k 0.8× 2.7k 0.8× 2.0k 0.9× 1.8k 1.3× 110 17.8k
Sofia K. Forslund Germany 38 16.9k 1.4× 3.5k 0.9× 1.3k 0.4× 2.7k 1.2× 1.3k 0.9× 99 25.6k
Morgan N. Price United States 39 11.7k 1.0× 6.0k 1.5× 1.9k 0.6× 2.3k 1.1× 1.4k 1.1× 96 22.0k
Ian T. Paulsen Australia 82 11.5k 1.0× 4.6k 1.1× 2.0k 0.6× 3.7k 1.7× 1.3k 1.0× 312 22.7k
Manfred Rohde Germany 83 11.1k 0.9× 5.5k 1.3× 4.2k 1.2× 2.2k 1.0× 3.4k 2.5× 523 25.7k
Tim Tolker‐Nielsen Denmark 72 14.6k 1.2× 3.2k 0.8× 1.4k 0.4× 3.1k 1.4× 986 0.7× 239 20.7k

Countries citing papers authored by Eric J. Alm

Since Specialization
Citations

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

Fields of papers citing papers by Eric J. Alm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric J. Alm. 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 Eric J. Alm. The network helps show where Eric J. Alm may publish in the future.

Co-authorship network of co-authors of Eric J. Alm

This figure shows the co-authorship network connecting the top 25 collaborators of Eric J. Alm. A scholar is included among the top collaborators of Eric J. Alm 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 Eric J. Alm. Eric J. Alm 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.
Vidal, Amanda Ferreira, Anni Zhang, Mathilde Poyet, et al.. (2024). Temporal dynamics of gut microbiomes in non-industrialized urban Amazonia. mSystems. 9(3). e0070723–e0070723. 2 indexed citations
2.
Long, C.L., Jen Nguyen, Yang‐Yu Liu, et al.. (2024). Structured community transitions explain the switching capacity of microbial systems. Proceedings of the National Academy of Sciences. 121(6). e2312521121–e2312521121. 11 indexed citations
3.
Zhang, Anni, Chengzhen L. Dai, Shijie Zhao, et al.. (2021). An omics-based framework for assessing the health risk of antimicrobial resistance genes. Nature Communications. 12(1). 4765–4765. 569 indexed citations breakdown →
4.
Yu, Xiaoqian, et al.. (2020). Prebiotics and Community Composition Influence Gas Production of the Human Gut Microbiota. mBio. 11(5). 37 indexed citations
5.
Evans, Ethan D., Chengzhen L. Dai, Siavash Isazadeh, et al.. (2020). Longitudinal wastewater sampling in buildings reveals temporal dynamics of metabolites. PLoS Computational Biology. 16(6). e1008001–e1008001. 3 indexed citations
6.
Yu, Xiaoqian, Martin F. Polz, & Eric J. Alm. (2019). Interactions in self-assembled microbial communities saturate with diversity. The ISME Journal. 13(6). 1602–1617. 66 indexed citations
7.
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
8.
Martín‐Platero, Antonio M., Brian Cleary, Kathryn M. Kauffman, et al.. (2018). High resolution time series reveals cohesive but short-lived communities in coastal plankton. Nature Communications. 9(1). 266–266. 98 indexed citations
9.
Johns, Nathan I, Antonio L. C. Gomes, Sung Sun Yim, et al.. (2018). Metagenomic mining of regulatory elements enables programmable species-selective gene expression. Nature Methods. 15(5). 323–329. 69 indexed citations
10.
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
11.
Groussin, Mathieu, Florent Mazel, Jon G. Sanders, et al.. (2017). Unraveling the processes shaping mammalian gut microbiomes over evolutionary time. Nature. 3 indexed citations
12.
Allegretti, Jessica R., Elijah Bogart, Kevin Bullock, et al.. (2016). Recurrent Clostridium difficile infection associates with distinct bile acid and microbiome profiles. DSpace@MIT (Massachusetts Institute of Technology). 7 indexed citations
13.
Poutahidis, Theofilos, Bernard J. Varian, Tatiana Levkovich, et al.. (2015). Dietary Microbes Modulate Transgenerational Cancer Risk. Cancer Research. 75(7). 1197–1204. 42 indexed citations
14.
David, Lawrence A., Arne Materna, Jonathan Friedman, et al.. (2014). Host lifestyle affects human microbiota on daily timescales. Genome biology. 15(7). R89–R89. 666 indexed citations breakdown →
15.
Shapiro, B. Jesse, Jonathan Friedman, Otto X. Cordero, et al.. (2012). Population Genomics of Early Events in the Ecological Differentiation of Bacteria. Science. 336(6077). 48–51. 365 indexed citations
16.
Papa, Eliseo, Michael Docktor, Christopher S. Smillie, et al.. (2012). Non-Invasive Mapping of the Gastrointestinal Microbiota Identifies Children with Inflammatory Bowel Disease. PLoS ONE. 7(6). e39242–e39242. 214 indexed citations
17.
Chivian, Dylan, Eoin Brodie, Eric J. Alm, et al.. (2008). Environmental Genomics Reveals a Single-Species Ecosystem Deep Within Earth. Science. 322(5899). 275–278. 329 indexed citations
18.
Hunt, Dana E., Lawrence A. David, Dirk Gevers, et al.. (2008). Resource Partitioning and Sympatric Differentiation Among Closely Related Bacterioplankton. Science. 320(5879). 1081–1085. 379 indexed citations
19.
Price, Morgan N., Adam P. Arkin, & Eric J. Alm. (2006). The Life-Cycle of Operons. PLoS Genetics. 2(6). e96–e96. 140 indexed citations
20.
Price, Morgan N., Adam P. Arkin, & Eric J. Alm. (2005). OpWise: Operons aid the identification of differentially expressed genes in bacterial \nmicroarray experiments. SHILAP Revista de lepidopterología. 22 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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