Steven J. Witte
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
- Psoriasis: Treatment and Pathogenesis
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- Cytokine Signaling Pathways and Interactions
- CAR-T cell therapy research
Papers in
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- Immune Cell Function and Interaction 4
- IL-33, ST2, and ILC Pathways 3
- Immunodeficiency and Autoimmune Disorders 2
- T-cell and B-cell Immunology 2
- Immunotherapy and Immune Responses 1
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- FinTech, Crowdfunding, Digital Finance 2
- Co-authors
- Robin D. Hatton (4 shared papers)Casey Todd Weaver (4 shared papers)Daniel Francis Ditoro (3 shared papers)Stefan Adi Muljo (2 shared papers)Carlene L. Zindl (3 shared papers)Min Gao (3 shared papers)Stacey N. Harbour (3 shared papers)Henrietta Turner (3 shared papers)
- Journals
- Immunity (2 papers)Trends in Immunology (1 paper)Stem Cell Research & Therapy (1 paper)Science (1 paper)BMC Genomics (1 paper)
- Partner nations
- United StatesUnited KingdomPoland
In The Last Decade
Steven J. Witte
10 papers receiving 620 citations
Peers
Comparison fields: 5 of 79
- Immunology 340
- Oncology 94
- Developmental Neuroscience 13
- Neurology 23
- Cancer Research 38
Countries citing papers authored by Steven J. Witte
This map shows the geographic impact of Steven J. Witte'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 Steven J. Witte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven J. Witte more than expected).
Fields of papers citing papers by Steven J. Witte
This network shows the impact of papers produced by Steven J. Witte. 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 Steven J. Witte. The network helps show where Steven J. Witte may publish in the future.
Co-authors
The 25 scholars most cited alongside Steven J. Witte, 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 | 2018 | 191 | |
| 2 | 2020 | 126 | |
| 3 | 2020 | 114 | |
| 4 | 2015 | 41 | |
| 5 | 2015 | 38 | |
| 6 | 2015 | 37 | |
| 7 | 2022 | 36 | |
| 8 | 2014 | 29 | |
| 9 | 2018 | 12 | |
| 10 | 2018 | 2 |
About Steven J. Witte
Steven J. Witte is a scholar working on Immunology, Management Information Systems, Cancer Research, Accounting and Pathology and Forensic Medicine, having authored 10 papers that have together received 626 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), IL-33, ST2, and ILC Pathways (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), FinTech, Crowdfunding, Digital Finance (2 papers), T-cell and B-cell Immunology (2 papers), Immunotherapy and Immune Responses (1 paper), Private Equity and Venture Capital (1 paper) and Genetic Neurodegenerative Diseases (1 paper). The work is most often cited by research in Immunology (340 citations), Oncology (94 citations), Developmental Neuroscience (13 citations), Neurology (23 citations) and Cancer Research (38 citations). Steven J. Witte has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Robin D. Hatton, Casey Todd Weaver, Daniel Francis Ditoro, Stefan Adi Muljo, Carlene L. Zindl, Min Gao, Stacey N. Harbour, Henrietta Turner, Trenton R. Schoeb and Daniel J. Silberger. Their work appears in journals such as Immunity, Trends in Immunology, Stem Cell Research & Therapy, Science and BMC Genomics.
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.