Steven S. Wasserman

10.2k citations
100 papers · 7.8k indexed · 2 hit papers · h-index 48

Steven S. Wasserman

100 papers receiving 7.4k citations

Hit Papers

Prevalence of celiac disease in at-risk and not-at-risk g...1.3k19912026200220144008001.2k

Peers

Steven S. Wasserman
Comparison fields: 5 of 142
  • Endocrinology 2.2k
  • Gastroenterology 1.4k
  • Infectious Diseases 3.0k
  • Epidemiology 2.0k
  • Microbiology 341
Replace Lucy S. Tompkins with:
Lucy S. Tompkins United States
Saul Tzipori United States
Michel Huerre France
L. Garry Adams United States
Francisco A. Uzal United States
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Cécil Czerkinsky Sweden
Marc Lecuit France
Johan Bakken United States
Anna Lundgren Sweden
Steven S. Wasserman relative to Lucy S. Tompkins United States Lucy S. Tompkins's profile →
Citations per field
00.5×6.5×
Lucy S. Tompkins · 1×
Citations per year

Countries citing papers authored by Steven S. Wasserman

Since Specialization
Citations

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

Fields of papers citing papers by Steven S. Wasserman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven S. Wasserman. 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 Steven S. Wasserman. The network helps show where Steven S. Wasserman may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Steven S. Wasserman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Steven S. Wasserman Line = papers co-authored together Steven S. Wasserman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200997
2 2003170
3 200220
4 2001181
5 2000242
6 199835
7 19988
8 19966
9 199524
10 199518
11 19957
12 199589
13 1994127
14 199425
15 19938
16 1993221
17 199233
18 1992122
19 19906
20 19898

About Steven S. Wasserman

Steven S. Wasserman is a scholar working on Endocrinology, Infectious Diseases and Virology, having authored 100 papers that have together received 7.8k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (28 papers), Viral gastroenteritis research and epidemiology (22 papers), Escherichia coli research studies (18 papers), Salmonella and Campylobacter epidemiology (15 papers), Mosquito-borne diseases and control (9 papers), Aquaculture disease management and microbiota (9 papers), HIV Research and Treatment (7 papers) and Influenza Virus Research Studies (6 papers). The work is most often cited by research in Endocrinology (2.2k citations), Gastroenterology (1.4k citations) and Infectious Diseases (3.0k citations). Steven S. Wasserman has collaborated with scholars based in United States, Vietnam and Switzerland. Frequent co-authors include Myron M. Levine, Genevieve A. Losonsky, Carol O. Tacket, Robert Edelman, Marcelo B. Sztein, Alessio Fasano, James B. Kaper, Karen L. Kotloff, Douglas J. Futuyma and James P. Nataro. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and The Lancet.

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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