Eduardo A. Groisman

26.1k total citations · 5 hit papers
195 papers, 20.1k citations indexed

About

Eduardo A. Groisman is a scholar working on Genetics, Molecular Biology and Food Science. According to data from OpenAlex, Eduardo A. Groisman has authored 195 papers receiving a total of 20.1k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Genetics, 89 papers in Molecular Biology and 69 papers in Food Science. Recurrent topics in Eduardo A. Groisman's work include Bacterial Genetics and Biotechnology (102 papers), Salmonella and Campylobacter epidemiology (60 papers) and Vibrio bacteria research studies (47 papers). Eduardo A. Groisman is often cited by papers focused on Bacterial Genetics and Biotechnology (102 papers), Salmonella and Campylobacter epidemiology (60 papers) and Vibrio bacteria research studies (47 papers). Eduardo A. Groisman collaborates with scholars based in United States, South Korea and Spain. Eduardo A. Groisman's co-authors include Howard Ochman, Jeffrey G. Lawrence, Fernando C. Soncini, Eleonora Garcı́a Véscovi, Tammy Latifi, H Ochman, F Solomon, Mauricio H. Pontes, Fred Heffron and Alexander Y. Mitrophanov and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Eduardo A. Groisman

194 papers receiving 19.7k citations

Hit Papers

Lateral gene transfer and the nature of bacterial innovation 1996 2026 2006 2016 2000 1996 2001 2003 1996 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eduardo A. Groisman United States 79 9.0k 7.0k 5.9k 5.8k 3.9k 195 20.1k
Matthew K. Waldor United States 80 8.0k 0.9× 4.9k 0.7× 9.6k 1.6× 3.2k 0.5× 5.1k 1.3× 284 20.7k
Samuel I. Miller United States 97 12.6k 1.4× 7.0k 1.0× 8.3k 1.4× 7.3k 1.3× 3.5k 0.9× 235 29.7k
Peter R. Reeves Australia 70 6.8k 0.8× 5.3k 0.8× 7.6k 1.3× 4.0k 0.7× 4.8k 1.2× 268 17.2k
Jorge E. Galán United States 91 8.3k 0.9× 6.6k 0.9× 11.4k 1.9× 10.4k 1.8× 4.6k 1.2× 190 28.6k
Staffan Normark Sweden 86 10.9k 1.2× 5.8k 0.8× 5.9k 1.0× 2.5k 0.4× 2.9k 0.7× 279 25.0k
Jörg Hacker Germany 73 8.4k 0.9× 3.7k 0.5× 7.8k 1.3× 2.7k 0.5× 3.0k 0.8× 252 18.7k
Fred Heffron United States 68 5.7k 0.6× 3.4k 0.5× 4.3k 0.7× 4.7k 0.8× 2.6k 0.7× 129 13.0k
Michael McClelland United States 71 8.6k 1.0× 4.6k 0.7× 3.8k 0.6× 4.5k 0.8× 3.7k 0.9× 331 20.1k
Howard Ochman United States 68 12.7k 1.4× 5.8k 0.8× 4.0k 0.7× 2.9k 0.5× 5.6k 1.5× 159 22.6k
Chris Whitfield Canada 62 7.5k 0.8× 4.3k 0.6× 4.1k 0.7× 1.6k 0.3× 3.3k 0.8× 190 15.9k

Countries citing papers authored by Eduardo A. Groisman

Since Specialization
Citations

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

Fields of papers citing papers by Eduardo A. Groisman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eduardo A. Groisman. 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 Eduardo A. Groisman. The network helps show where Eduardo A. Groisman may publish in the future.

Co-authorship network of co-authors of Eduardo A. Groisman

This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo A. Groisman. A scholar is included among the top collaborators of Eduardo A. Groisman 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 Eduardo A. Groisman. Eduardo A. Groisman 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.
Campagna, Shawn R., et al.. (2025). Cytoplasmic Mg 2+ supersedes carbon source preference to dictate Salmonella metabolism. Proceedings of the National Academy of Sciences. 122(13). e2424337122–e2424337122. 1 indexed citations
3.
Groisman, Eduardo A., et al.. (2025). Hierarchical glycolytic pathways control the carbohydrate utilization regulator in human gut Bacteroides. Nature Communications. 16(1). 4488–4488. 1 indexed citations
4.
Krypotou, Emilia, Guy E. Townsend, Xiaohui Gao, et al.. (2023). Bacteria require phase separation for fitness in the mammalian gut. Science. 379(6637). 1149–1156. 53 indexed citations
5.
Groisman, Eduardo A., et al.. (2023). Advancing the fitness of gut commensal bacteria. Science. 382(6672). 766–768. 5 indexed citations
6.
Townsend, Guy E., Natasha A. Barry, Frank Peske, et al.. (2022). Gut colonization by Bacteroides requires translation by an EF‐G paralog lacking GTPase activity. The EMBO Journal. 42(2). e112372–e112372. 12 indexed citations
7.
Groisman, Eduardo A., et al.. (2021). Limitation of phosphate assimilation maintains cytoplasmic magnesium homeostasis. Proceedings of the National Academy of Sciences. 118(11). 30 indexed citations
8.
Yeom, Jinki, Mauricio H. Pontes, Jeongjoon Choi, & Eduardo A. Groisman. (2018). A protein that controls the onset of a Salmonella virulence program. The EMBO Journal. 37(14). 16 indexed citations
9.
Yeom, Jinki, Kyle J. Wayne, & Eduardo A. Groisman. (2017). Sequestration from Protease Adaptor Confers Differential Stability to Protease Substrate. Molecular Cell. 66(2). 234–246.e5. 25 indexed citations
10.
Pontes, Mauricio H., Anastasia Sevostyanova, & Eduardo A. Groisman. (2015). When Too Much ATP Is Bad for Protein Synthesis. Journal of Molecular Biology. 427(16). 2586–2594. 93 indexed citations
11.
Townsend, Guy E., Varsha Raghavan, Igor Zwir, & Eduardo A. Groisman. (2012). Intramolecular arrangement of sensor and regulator overcomes relaxed specificity in hybrid two-component systems. Proceedings of the National Academy of Sciences. 110(2). E161–9. 27 indexed citations
12.
Mitrophanov, Alexander Y. & Eduardo A. Groisman. (2008). Positive feedback in cellular control systems. BioEssays. 30(6). 542–555. 213 indexed citations
13.
Latifi, Tammy, et al.. (2006). The PhoP/PhoQ two-component system stabilizes the alternative sigma factor RpoS in Salmonella enterica. Proceedings of the National Academy of Sciences. 103(36). 13503–13508. 102 indexed citations
14.
Delgado, Mónica A., Chakib Mouslim, & Eduardo A. Groisman. (2006). The PmrA/PmrB and RcsC/YojN/RcsB systems control expression of the Salmonella O‐antigen chain length determinant. Molecular Microbiology. 60(1). 39–50. 78 indexed citations
15.
Pérez, J. Christian & Eduardo A. Groisman. (2006). Acid pH activation of the PmrA/PmrB two‐component regulatory system of Salmonella enterica. Molecular Microbiology. 63(1). 283–293. 126 indexed citations
16.
Groisman, Eduardo A., et al.. (2004). Phenotypic differences between Salmonella and Escherichia coli resulting from the disparate regulation of homologous genes. Proceedings of the National Academy of Sciences. 101(49). 17162–17167. 125 indexed citations
17.
Ingersoll, Molly A., et al.. (2002). Genomic Structure and Evolution of Legionella Species. Current topics in microbiology and immunology. 61–78. 29 indexed citations
18.
Ochman, Howard, Jeffrey G. Lawrence, & Eduardo A. Groisman. (2000). Lateral gene transfer and the nature of bacterial innovation. Nature. 405(6784). 299–304. 2734 indexed citations breakdown →
19.
Groisman, Eduardo A.. (1998). The ins and outs of virulence gene expression: Mg2+ as a regulatory signal. BioEssays. 20(1). 96–101. 84 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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