Eduardo A. Groisman

26.1k citations
195 papers · 20.1k indexed · 5 hit papers · h-index 79
Topics
Bacterial Genetics and Biotechnology (102 papers)Salmonella and Campylobacter epidemiology (60 papers)Vibrio bacteria research studies (47 papers)

In The Last Decade

Eduardo A. Groisman

194 papers receiving 19.7k citations

Hit Papers

Lateral gene transfer and the nature of bacterial innovation19962026200620162000199620012003199650010001.5k2.0k2.5k

Peers

Eduardo A. Groisman
Comparison fields: 5 of 176
  • Molecular Biology 9.0k
  • Genetics 7.0k
  • Endocrinology 5.9k
  • Food Science 5.8k
  • Ecology 3.9k
Replace Peter R. Reeves with:
Peter R. Reeves Australia
Matthew K. Waldor United States
Staffan Normark Sweden
Samuel I. Miller United States
Howard Ochman United States
Jorge E. Galán United States
Jörg Hacker Germany
Fred Heffron United States
Barry L. Wanner United States
Michael McClelland United States
Eduardo A. Groisman relative to Peter R. Reeves Australia Peter R. Reeves's profile →
Citations per field
00.5×6.5×
Peter R. Reeves · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 0
3 1
4 53
5 5
6 12
7 30
8 25
9 93
10 27
11 72
12 213
13 105
14 78
15 102
16 126
17 125
18 29
19
Lateral gene transfer and the nature of bacterial innovationbreakdown →
2734
20 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) and Vibrio bacteria research studies (47 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 Nature, Science 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.

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