Steve Jacobson

1.3k citations
25 papers · 775 indexed · h-index 12
Topics
T-cell and Retrovirus Studies (10 papers)Animal Disease Management and Epidemiology (9 papers)Cytomegalovirus and herpesvirus research (7 papers)
Partner nations
United StatesJapanBrazil

In The Last Decade

Steve Jacobson

24 papers receiving 757 citations

Peers

Steve Jacobson
Comparison fields: 5 of 69
  • Immunology 311
  • Oncology 287
  • Epidemiology 214
  • Agronomy and Crop Science 164
  • Ecology, Evolution, Behavior and Systematics 162
Replace Karen Yao with:
Karen Yao United States
Mildred Foster‐Cuevas United Kingdom
Meghan Brennan United States
C Aubert France
P. W. Tuke United Kingdom
Yoshimi Enose‐Akahata United States
E DeFreitas United States
K Yamaguchi Japan
Jacek Kowalski Poland
Antônio Carlos Martins Guedes Brazil
Steve Jacobson relative to Karen Yao United States Karen Yao's profile →
Citations per field
00.5×2.6×
Karen Yao · 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-authorship network of co-authors of Steve Jacobson

This figure shows the co-authorship network connecting the top 25 collaborators of Steve Jacobson. A scholar is included among the top collaborators of Steve Jacobson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Steve Jacobson. Steve Jacobson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 4
4 2
5 1
6 1
7 3
8 50
9 17
10 19
11 227
12 15
13 2
14 125
15 31
16 2
17 14
18 14
19 105
20 1

About Steve Jacobson

Steve Jacobson is a scholar working on Agronomy and Crop Science, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 25 papers that have together received 775 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (10 papers), Animal Disease Management and Epidemiology (9 papers) and Cytomegalovirus and herpesvirus research (7 papers). The work is most often cited by research in Agronomy and Crop Science (164 citations), Immunology (311 citations) and Oncology (287 citations). Steve Jacobson has collaborated with scholars based in United States, Japan and Brazil. Frequent co-authors include Eugene O. Major, Daniel S. Reich, Avindra Nath, Bryan Smith, Pawel Muranski, Yoshimi Enose‐Akahata, Irene Cortese, Caroline F. Ryschkewitsch, Lauren Reoma and Seung-Kwon Ha. Their work appears in journals such as New England Journal of Medicine, Nature Communications and Journal of Clinical Oncology.

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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