Stephen Manning
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- Galectins and Cancer Biology
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Peptidase Inhibition and Analysis
- CAR-T cell therapy research
Papers in
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- Receptor Mechanisms and Signaling 2
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- Immune Cell Function and Interaction 3
- T-cell and B-cell Immunology 2
- Galectins and Cancer Biology 1
- Co-authors
- Anthony J. Coyle (4 shared papers)Edward Greenfield (2 shared papers)Vijay K. Kuchroo (2 shared papers)Catherine A. Sabatos (1 shared paper)Jason L. Gaglia (1 shared paper)Tatyana Chernova (1 shared paper)Laurent Monney (1 shared paper)Gordon J. Freeman (1 shared paper)
- Journals
- Prostaglandins & Other Lipid Mediators (1 paper)Nature (1 paper)Blood (1 paper)Annals of Epidemiology (1 paper)European Journal of Immunology (1 paper)
- Partner nations
- United States
In The Last Decade
Stephen Manning
7 papers receiving 1.9k citations
Stephen Manning's Hit Papers
Peers
Comparison fields: 5 of 97
- Immunology 1.5k
- Oncology 683
- Transplantation 23
- Immunology and Allergy 42
- Pathology and Forensic Medicine 120
Countries citing papers authored by Stephen Manning
This map shows the geographic impact of Stephen Manning'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 Stephen Manning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Manning more than expected).
Fields of papers citing papers by Stephen Manning
This network shows the impact of papers produced by Stephen Manning. 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 Stephen Manning. The network helps show where Stephen Manning may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Manning, 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 | Th1-specific cell surface protein Tim-3 regulates macrophage activation and severity of an autoimmune disease Hit paper breakdown → | 2002 | 1352 |
| 2 | 2000 | 426 | |
| 3 | 2002 | 69 | |
| 4 | 2021 | 24 | |
| 5 | 2004 | 14 | |
| 6 | 2005 | 6 | |
| 7 | 2003 | 1 |
About Stephen Manning
Stephen Manning is a scholar working on Molecular Biology, Immunology, Organic Chemistry, General Health Professions and Animal Science and Zoology, having authored 7 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (2 papers), Receptor Mechanisms and Signaling (2 papers), Sepsis Diagnosis and Treatment (1 paper), Child Nutrition and Feeding Issues (1 paper), Galectins and Cancer Biology (1 paper), Food Security and Health in Diverse Populations (1 paper) and Synthesis and Biological Evaluation (1 paper). The work is most often cited by research in Immunology (1.5k citations), Oncology (683 citations), Transplantation (23 citations), Immunology and Allergy (42 citations) and Pathology and Forensic Medicine (120 citations). Stephen Manning has collaborated with scholars based in United States. Frequent co-authors include Anthony J. Coyle, Edward Greenfield, Vijay K. Kuchroo, Catherine A. Sabatos, Jason L. Gaglia, Tatyana Chernova, Laurent Monney, Gordon J. Freeman, Raymond A. Sobel and Akemi Ryu. Their work appears in journals such as Prostaglandins & Other Lipid Mediators, Nature, Blood, Annals of Epidemiology and European Journal of Immunology.
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.