Steve Jacobson

1.3k citations
25 papers · 784 · h-index 12

Impact in

Papers in

    • T-cell and Retrovirus Studies 10
    • Immune Cell Function and Interaction 2
    • Viral-associated cancers and disorders 5
    • Polyomavirus and related diseases 2

Steve Jacobson

24 papers receiving 768 citations

Peers

Steve Jacobson
Comparison fields: 5 of 69
  • Immunology 303
  • Agronomy and Crop Science 151
  • Oncology 268
  • Ecology, Evolution, Behavior and Systematics 142
  • Epidemiology 186
Replace Mildred Foster‐Cuevas with:
Mildred Foster‐Cuevas United Kingdom
Karen Yao United States
Yoshimi Enose‐Akahata United States
Eiji Matsuura Japan
C Aubert France
P. W. Tuke United Kingdom
E DeFreitas United States
Masaya Fukushi Japan
K Yamaguchi Japan
Jacek Kowalski Poland
Steve Jacobson relative to Mildred Foster‐Cuevas United Kingdom Mildred Foster‐Cuevas's profile →
Citations per field
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Mildred Foster‐Cuevas · 1×
Citations per year

Countries citing papers authored by Steve Jacobson

Since Specialization
Citations

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

Fields of papers citing papers by Steve Jacobson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve Jacobson. 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 Steve Jacobson. The network helps show where Steve Jacobson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019234
2 2012126
3 2001104
4 200576
5 200855
6 202050
7 200931
8 201919
9 201917
10 201915
11 200614
12 200714
13 20234
14 20234
15 20094
16 20203
17 20222
18 20152
19 20142
20 20222

About Steve Jacobson

Steve Jacobson is a scholar working on Immunology, Oncology, Epidemiology, Agronomy and Crop Science and Ecology, Evolution, Behavior and Systematics, having authored 25 papers that have together received 784 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (10 papers), Cytomegalovirus and herpesvirus research (7 papers), Animal Disease Management and Epidemiology (7 papers), Herpesvirus Infections and Treatments (6 papers), Vector-Borne Animal Diseases (5 papers), Viral-associated cancers and disorders (5 papers), Polyomavirus and related diseases (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Immunology (303 citations), Agronomy and Crop Science (151 citations), Oncology (268 citations), Ecology, Evolution, Behavior and Systematics (142 citations) and Epidemiology (186 citations). Steve Jacobson has collaborated with scholars based in United States, Japan and Brazil. Frequent co-authors include Eugene O. Major, Yoshimi Enose‐Akahata, Caroline F. Ryschkewitsch, Seung-Kwon Ha, Bryan Smith, Lauren Reoma, Avindra Nath, Erin Beck, Joan Ohayon and Pawel Muranski. Their work appears in journals such as Journal of Virology, Retrovirology, Journal of Clinical Microbiology, Journal of Clinical Oncology and Journal of Alzheimer s Disease.

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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