Stacey Schultz‐Cherry

15.6k citations
195 papers · 10.1k indexed · 2 hit papers · h-index 53

Stacey Schultz‐Cherry

189 papers receiving 9.9k citations

Hit Papers

Influenza virus and SARS-CoV-2: pathogenesis and host res...239201920262021202350100150200250

Peers

Stacey Schultz‐Cherry
Comparison fields: 5 of 154
  • Infectious Diseases 4.2k
  • Animal Science and Zoology 1.8k
  • Epidemiology 3.8k
  • Immunology 2.0k
  • Agronomy and Crop Science 915
Replace Shigeru Morikawa with:
Shigeru Morikawa Japan
Artur Summerfield Switzerland
Kenneth L. Tyler United States
Ilkka Julkunen Finland
Barry T. Rouse United States
Søren R. Paludan Denmark
Steven Krakowka United States
Carolyn B. Coyne United States
Evelyn A. Kurt‐Jones United States
Ken J. Ishii Japan
Stacey Schultz‐Cherry relative to Shigeru Morikawa Japan Shigeru Morikawa's profile →
Citations per field
00.5×1.5×2.2×
Shigeru Morikawa · 1×
Citations per year

Countries citing papers authored by Stacey Schultz‐Cherry

Since Specialization
Citations

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

Fields of papers citing papers by Stacey Schultz‐Cherry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stacey Schultz‐Cherry. 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 Stacey Schultz‐Cherry. The network helps show where Stacey Schultz‐Cherry may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Stacey Schultz‐Cherry, 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 Stacey Schultz‐Cherry Line = papers co-authored together Stacey Schultz‐Cherry links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20245
2 20248
3 20243
4 20234
5 20233
6 20233
7 20234
8 202336
9 202138
10 202132
11 20214
12 202123
13 20213
14 20205
15 20202
16 202010
17 202030
18 201920
19 201921
20 20185

About Stacey Schultz‐Cherry

Stacey Schultz‐Cherry is a scholar working on Infectious Diseases, Epidemiology, Animal Science and Zoology, Agronomy and Crop Science and Immunology, having authored 195 papers that have together received 10.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (112 papers), Viral gastroenteritis research and epidemiology (59 papers), Respiratory viral infections research (59 papers), Animal Virus Infections Studies (34 papers), Virus-based gene therapy research (32 papers), Animal Disease Management and Epidemiology (30 papers), interferon and immune responses (21 papers) and Viral Infections and Vectors (17 papers). The work is most often cited by research in Infectious Diseases (4.2k citations), Animal Science and Zoology (1.8k citations), Epidemiology (3.8k citations), Immunology (2.0k citations) and Agronomy and Crop Science (915 citations). Stacey Schultz‐Cherry has collaborated with scholars based in United States, Chile and United Kingdom. Frequent co-authors include Joanne E. Murphy-Ullrich, Rebekah Honce, Erik A. Karlsson, Victoria Meliopoulos, Matthew D. Koci, Virginia S. Hinshaw, Lindsey A. Moser, Jeremy C. Jones, David L. Suarez and David E. Swayne. Their work appears in journals such as Journal of Virology, PLoS Pathogens, Viruses, mBio and PLoS ONE.

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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