Stephen A. Stohlman

13.9k citations
209 papers · 12.1k · h-index 66

Impact in

Papers in

Stephen A. Stohlman

208 papers receiving 11.7k citations

Peers

Stephen A. Stohlman
Comparison fields: 5 of 120
  • Animal Science and Zoology 4.9k
  • Infectious Diseases 5.4k
  • Neurology 1.7k
  • Immunology 4.2k
  • Developmental Neuroscience 367
Replace Cornelia C. Bergmann with:
Cornelia C. Bergmann United States
Kenneth L. Tyler United States
Thomas E. Lane United States
Robert S. Fujinami United States
Ehud Lavi United States
Howard L. Lipton United States
Leslie P. Weiner United States
Lena Alexopoulou France
Donald H. Gilden United States
Chella S. David United States
Stephen A. Stohlman relative to Cornelia C. Bergmann United States Cornelia C. Bergmann's profile →
Citations per field
00.5×2×3×3.7×
Cornelia C. Bergmann · 1×
Citations per year

Countries citing papers authored by Stephen A. Stohlman

Since Specialization
Citations

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

Fields of papers citing papers by Stephen A. Stohlman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stephen A. Stohlman, 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 Stephen A. Stohlman Line = papers co-authored together Stephen A. Stohlman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 209 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012367
2 2006335
3 1986297
4 2006278
5 1986266
6 2010255
7 1985199
8 1999190
9 1995179
10 1981178
11 1984177
12 1999176
13 1990171
14 1988165
15 1988161
16 2001156
17 1999155
18 1978153
19 2012153
20 1983151

About Stephen A. Stohlman

Stephen A. Stohlman is a scholar working on Animal Science and Zoology, Infectious Diseases, Immunology, Hepatology and Epidemiology, having authored 209 papers that have together received 12.1k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (112 papers), SARS-CoV-2 and COVID-19 Research (64 papers), Viral gastroenteritis research and epidemiology (57 papers), T-cell and B-cell Immunology (50 papers), Immune Cell Function and Interaction (37 papers), Hepatitis B Virus Studies (26 papers), Immunotherapy and Immune Responses (25 papers) and Hepatitis C virus research (22 papers). The work is most often cited by research in Animal Science and Zoology (4.9k citations), Infectious Diseases (5.4k citations), Neurology (1.7k citations), Immunology (4.2k citations) and Developmental Neuroscience (367 citations). Stephen A. Stohlman has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Cornelia C. Bergmann, David R. Hinton, Leslie P. Weiner, Ralph Steven Baric, Michael M. C. Lai, Norman W. Marten, James Keck, John O. Fleming, Shinji Makino and Chandran Ramakrishna. Their work appears in journals such as Journal of Virology, The Journal of Immunology, Advances in experimental medicine and biology, Virology and Journal of Neuroimmunology.

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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