Scott D. Gitlin

2.3k citations
44 papers · 1.8k indexed · h-index 23

Impact in

Papers in

Scott D. Gitlin

42 papers receiving 1.8k citations

Peers

Scott D. Gitlin
Comparison fields: 5 of 110
  • Agronomy and Crop Science 331
  • Immunology 646
  • Infectious Diseases 330
  • Virology 83
  • Ecology, Evolution, Behavior and Systematics 333
Replace Cheryl L. Swenson with:
Cheryl L. Swenson United States
Shirley Kwok United States
Jean‐François Mornex France
Jorge Casseb Brazil
Luca Ceccherini‐Nelli Italy
Dario Di Luca Italy
Brian J. Thomson United Kingdom
Shudo Yamazaki Japan
Justin M. Richner United States
Wendell Miley United States
Scott D. Gitlin relative to Cheryl L. Swenson United States Cheryl L. Swenson's profile →
Citations per field
00.5×3.7×
Cheryl L. Swenson · 1×
Citations per year

Countries citing papers authored by Scott D. Gitlin

Since Specialization
Citations

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

Fields of papers citing papers by Scott D. Gitlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott D. Gitlin. 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 Scott D. Gitlin. The network helps show where Scott D. Gitlin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019191
2 1988189
3 2008168
4 2009106
5 201184
6 200380
7 199072
8
Induction of nuclear NF-kappa B DNA binding activity after exposure of lymphoid cells to soluble tax1 protein.
199069
9 199169
10 199467
11 201365
12 199364
13 201460
14 199455
15 199152
16 202046
17 200145
18 201543
19 201530
20 199330

About Scott D. Gitlin

Scott D. Gitlin is a scholar working on Immunology, Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Applied Microbiology and Biotechnology and Family Practice, having authored 44 papers that have together received 1.8k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (14 papers), Vector-Borne Animal Diseases (10 papers), Animal Disease Management and Epidemiology (8 papers), Advances in Oncology and Radiotherapy (7 papers), Innovations in Medical Education (7 papers), Chromosomal and Genetic Variations (7 papers), Health and Medical Research Impacts (5 papers) and CRISPR and Genetic Engineering (4 papers). The work is most often cited by research in Agronomy and Crop Science (331 citations), Immunology (646 citations), Infectious Diseases (330 citations), Virology (83 citations) and Ecology, Evolution, Behavior and Systematics (333 citations). Scott D. Gitlin has collaborated with scholars based in United States, Italy and France. Frequent co-authors include John Brady, David M. Markovitz, J Dittmer, Susan J. Marriott, Paul F. Lindholm, Rafael Contreras-Galindo, Mark H. Kaplan, Glenn W. Kaatz, Dennis R. Schaberg and Carol A. Kauffman. Their work appears in journals such as Journal of Virology, Journal of Biological Chemistry, Blood, Academic Medicine and The American Journal of Medicine.

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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