Todd D. Schell
- Immunology top 1%
- Immunotherapy and Immune Responses 44
- Immune Cell Function and Interaction 25
- T-cell and B-cell Immunology 25
- Immune cells in cancer 6
- T-cell and Retrovirus Studies 4
- Oncology top 2%
- CAR-T cell therapy research 26
- Cancer Immunotherapy and Biomarkers 22
- Biological Psychiatry top 10%
- Cancer Research top 10%
- Hematology top 5%
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- Virus-based gene therapy research 4
- Co-authors
- Satvir S. TevethiaLawrence M. MylinDavid F. ClaxtonHong ZhengW. Christopher EhmannWitold B. RybkaHui ZengJoseph J. Drabick
- Journals
- The Journal of Immunology (18 papers)Cancer Immunology Immunotherapy (5 papers)Journal of Clinical Oncology (4 papers)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Todd D. Schell
92 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Immunology 1.8k
- Oncology 1.5k
- Biological Psychiatry 42
- Cancer Research 222
- Hematology 152
Countries citing papers authored by Todd D. Schell
This map shows the geographic impact of Todd D. Schell'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 Todd D. Schell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd D. Schell more than expected).
Fields of papers citing papers by Todd D. Schell
This network shows the impact of papers produced by Todd D. Schell. 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 Todd D. Schell. The network helps show where Todd D. Schell may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Todd D. Schell, 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 | 2025 | 1 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 3 | |
| 5 | 2019 | 48 | |
| 6 | 2017 | 37 | |
| 7 | 2016 | 230 | |
| 8 | 2015 | 16 | |
| 9 | 2014 | 10 | |
| 10 | 2014 | 14 | |
| 11 | A promising natural therapy for equine osteoarthritis. | 2009 | 3 |
| 12 | 2006 | 24 | |
| 13 | 2006 | 10 | |
| 14 | 2005 | 34 | |
| 15 | 2004 | 89 | |
| 16 | 2004 | 1 | |
| 17 | 2003 | 76 | |
| 18 | 2003 | 65 | |
| 19 | Cytotoxic T lymphocytes from HLA-A2.1 transgenic mice define a potential human epitope from simian virus 40 large T antigen. | 2001 | 17 |
| 20 | 2001 | 30 |
About Todd D. Schell
Todd D. Schell is a scholar working on Immunology, Oncology and Biological Psychiatry, having authored 97 papers that have together received 3.1k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (44 papers), CAR-T cell therapy research (26 papers), Immune Cell Function and Interaction (25 papers), T-cell and B-cell Immunology (25 papers), Cancer Immunotherapy and Biomarkers (22 papers), Immune cells in cancer (6 papers), T-cell and Retrovirus Studies (4 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Immunology (1.8k citations), Oncology (1.5k citations) and Biological Psychiatry (42 citations). Todd D. Schell has collaborated with scholars based in United States, China and India. Frequent co-authors include Satvir S. Tevethia, Lawrence M. Mylin, David F. Claxton, Hong Zheng, W. Christopher Ehmann, Witold B. Rybka, Hui Zeng, Joseph J. Drabick, Liuluan Zhu and Yaxian Kong. Their work appears in journals such as The Journal of Immunology, Cancer Immunology Immunotherapy, Journal of Clinical Oncology, Journal of Virology and Cancer Biology & Therapy.
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.