Jeff Subleski
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Response and Inflammation
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- NF-κB Signaling Pathways
Papers in
- Immunology 13
- Immune Cell Function and Interaction 11
- Immunotherapy and Immune Responses 5
- T-cell and B-cell Immunology 3
- Immune Response and Inflammation 2
- Inflammation biomarkers and pathways 1
- Toxin Mechanisms and Immunotoxins 1
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- Peroxisome Proliferator-Activated Receptors 1
- Co-authors
- Paritosh Ghosh (4 shared papers)Howard A. Young (6 shared papers)John R. Ortaldo (4 shared papers)Robert H. Wiltrout (5 shared papers)Timothy Back (3 shared papers)Marco Cippitelli (3 shared papers)Jenn‐Haung Lai (1 shared paper)Joseph T. Bruder (1 shared paper)
- Journals
- The Journal of Immunology (3 papers)Journal of Biological Chemistry (2 papers)Cancer Research (2 papers)Molecular and Cellular Biology (1 paper)The FASEB Journal (1 paper)
- Partner nations
- United StatesGermanyIreland
In The Last Decade
Jeff Subleski
14 papers receiving 623 citations
Peers
Comparison fields: 5 of 67
- Immunology 450
- Cancer Research 116
- Oncology 200
- Genetics 28
- Molecular Biology 162
Countries citing papers authored by Jeff Subleski
This map shows the geographic impact of Jeff Subleski'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 Jeff Subleski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Subleski more than expected).
Fields of papers citing papers by Jeff Subleski
This network shows the impact of papers produced by Jeff Subleski. 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 Jeff Subleski. The network helps show where Jeff Subleski may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff Subleski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 121 | |
| 2 | 2003 | 84 | |
| 3 | 2006 | 72 | |
| 4 | 1994 | 60 | |
| 5 | 2009 | 57 | |
| 6 | 2009 | 50 | |
| 7 | 1997 | 46 | |
| 8 | 1996 | 45 | |
| 9 | 2004 | 39 | |
| 10 | 1999 | 33 | |
| 11 | 2006 | 27 | |
| 12 | 2004 | 5 | |
| 13 | 2007 | 1 | |
| 14 | 2010 | 1 | |
| 15 | 2026 | 0 |
About Jeff Subleski
Jeff Subleski is a scholar working on Immunology, Molecular Biology, Oncology, Cancer Research and Organic Chemistry, having authored 15 papers that have together received 641 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (3 papers), Immune Response and Inflammation (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), NF-κB Signaling Pathways (1 paper), Inflammation biomarkers and pathways (1 paper) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Immunology (450 citations), Cancer Research (116 citations), Oncology (200 citations), Genetics (28 citations) and Molecular Biology (162 citations). Jeff Subleski has collaborated with scholars based in United States, Germany and Ireland. Frequent co-authors include Paritosh Ghosh, Howard A. Young, John R. Ortaldo, Robert H. Wiltrout, Timothy Back, Marco Cippitelli, Jenn‐Haung Lai, Joseph T. Bruder, Tse‐Hua Tan and Veronica L. Hall. Their work appears in journals such as The Journal of Immunology, Journal of Biological Chemistry, Cancer Research, Molecular and Cellular Biology and The FASEB Journal.
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.