Susan R. Weiss

17.8k citations
220 papers · 11.3k indexed · 3 hit papers · h-index 61

Susan R. Weiss

219 papers receiving 11.0k citations

Hit Papers

Coronavirus Pathogenesis6251977202619932009250500750

Peers

Susan R. Weiss
Comparison fields: 5 of 163
  • Animal Science and Zoology 4.5k
  • Infectious Diseases 7.2k
  • Immunology 2.1k
  • Neurology 746
  • Genetics 1.2k
Replace Michael J. Buchmeier with:
Michael J. Buchmeier United States
Kathryn V. Holmes United States
Stephen A. Stohlman United States
Pierre J. Talbot Canada
Julian L. Leibowitz United States
Gary R. Whittaker United States
Ding Xiang Liu Singapore
Benjamin R. tenOever United States
Kenneth L. Tyler United States
Jianhua Sui China
Susan R. Weiss relative to Michael J. Buchmeier United States Michael J. Buchmeier's profile →
Citations per field
00.5×1.5×2.4×
Michael J. Buchmeier · 1×
Citations per year

Countries citing papers authored by Susan R. Weiss

Since Specialization
Citations

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

Fields of papers citing papers by Susan R. Weiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan R. Weiss. 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 Susan R. Weiss. The network helps show where Susan R. Weiss may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202410
3 202418
4 20243
5 20241
6 20226
7 202112
8 2021149
9 202116
10 202021
11 202024
12 201950
13 201929
14 201749
15 2017121
16 201762
17 200230
18 200113
19 200139
20 198840

About Susan R. Weiss

Susan R. Weiss is a scholar working on Animal Science and Zoology, Infectious Diseases and Immunology, having authored 220 papers that have together received 11.3k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (136 papers), SARS-CoV-2 and COVID-19 Research (115 papers), Viral gastroenteritis research and epidemiology (71 papers), interferon and immune responses (32 papers), Viral Infections and Immunology Research (28 papers), Virus-based gene therapy research (26 papers), Immunotherapy and Immune Responses (13 papers) and Hepatitis C virus research (11 papers). The work is most often cited by research in Animal Science and Zoology (4.5k citations), Infectious Diseases (7.2k citations) and Immunology (2.1k citations). Susan R. Weiss has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Sonia Navas, Julian L. Leibowitz, Ehud Lavi, Robert H. Silverman, Yize Li, Susan T. Hingley, Ruth Elliott, Mark R. Denison, Ming Ming Chua and Susan J. Bender. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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