Eduardo A. Groisman
- Endocrinology top 0.01%
- Vibrio bacteria research studies 47
- Escherichia coli research studies 28
- Molecular Medicine top 0.05%
- Antibiotic Resistance in Bacteria 23
- Food Science top 0.02%
- Salmonella and Campylobacter epidemiology 60
- Genetics top 0.05%
- Bacterial Genetics and Biotechnology 102
- Microbiology top 0.1%
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- RNA and protein synthesis mechanisms 41
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- Bacteriophages and microbial interactions 41
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- Trace Elements in Health 16
- Co-authors
- Howard OchmanJeffrey G. LawrenceFernando C. SonciniEleonora Garcı́a VéscoviTammy LatifiH OchmanF SolomonMauricio H. Pontes
- Journals
- Proceedings of the National Academy of Sciences (28 papers)Molecular Microbiology (23 papers)Journal of Bacteriology (18 papers)
- Partner nations
- United StatesSouth KoreaSpain
In The Last Decade
Eduardo A. Groisman
194 papers receiving 19.7k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Endocrinology 5.9k
- Molecular Medicine 3.2k
- Food Science 5.8k
- Genetics 7.0k
- Microbiology 1.5k
Countries citing papers authored by Eduardo A. Groisman
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
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
The 25 scholars most cited alongside Eduardo A. Groisman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2023 | 53 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 12 | |
| 7 | 2021 | 30 | |
| 8 | 2017 | 25 | |
| 9 | 2015 | 93 | |
| 10 | 2012 | 27 | |
| 11 | 2012 | 72 | |
| 12 | 2008 | 213 | |
| 13 | 2008 | 105 | |
| 14 | 2006 | 78 | |
| 15 | 2006 | 102 | |
| 16 | 2006 | 126 | |
| 17 | 2004 | 125 | |
| 18 | 2002 | 29 | |
| 19 | Lateral gene transfer and the nature of bacterial innovationbreakdown → | 2000 | 2734 |
| 20 | 1991 | 37 |
About Eduardo A. Groisman
Eduardo A. Groisman is a scholar working on Endocrinology, Molecular Medicine and Food Science, having authored 195 papers that have together received 20.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (102 papers), Salmonella and Campylobacter epidemiology (60 papers), Vibrio bacteria research studies (47 papers), RNA and protein synthesis mechanisms (41 papers), Bacteriophages and microbial interactions (41 papers), Escherichia coli research studies (28 papers), Antibiotic Resistance in Bacteria (23 papers) and Trace Elements in Health (16 papers). The work is most often cited by research in Endocrinology (5.9k citations), Molecular Medicine (3.2k citations) and Food Science (5.8k citations). Eduardo A. Groisman has collaborated with scholars based in United States, South Korea and Spain. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Microbiology, Journal of Bacteriology, Trends in Microbiology and Cell.
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.