Stephen DeWall
Impact in
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- Biosimilars and Bioanalytical Methods
- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
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- Multiple Myeloma Research and Treatments
Papers in
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- Monoclonal and Polyclonal Antibodies Research 6
- Oncology 5
- Cancer Cells and Metastasis 2
- CAR-T cell therapy research 2
- Co-authors
- Prafull Mistry (2 shared papers)Juliet Reid (2 shared papers)Blas Gil Extremera (1 shared paper)Phil Ambery (1 shared paper)Johanna Mora (1 shared paper)Joleen T. White (1 shared paper)Thomas N. Lee (2 shared papers)Ann Schwartz (2 shared papers)
- Journals
- Journal of Immunological Methods (2 papers)PLoS ONE (2 papers)Blood (2 papers)The AAPS Journal (1 paper)Molecular Therapy — Methods & Clinical Development (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Stephen DeWall
12 papers receiving 221 citations
Peers
Comparison fields: 5 of 53
- Immunology 93
- Hematology 31
- Oncology 52
- Molecular Biology 124
- Radiology, Nuclear Medicine and Imaging 35
Countries citing papers authored by Stephen DeWall
This map shows the geographic impact of Stephen DeWall'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 DeWall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen DeWall more than expected).
Fields of papers citing papers by Stephen DeWall
This network shows the impact of papers produced by Stephen DeWall. 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 DeWall. The network helps show where Stephen DeWall may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen DeWall, 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 | 2016 | 63 | |
| 2 | 2022 | 48 | |
| 3 | 2014 | 34 | |
| 4 | 2013 | 22 | |
| 5 | 2016 | 22 | |
| 6 | 2020 | 15 | |
| 7 | 2021 | 7 | |
| 8 | 2011 | 6 | |
| 9 | 2020 | 5 | |
| 10 | 2018 | 3 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 1 |
About Stephen DeWall
Stephen DeWall is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Immunology, Molecular Biology and Genetics, having authored 12 papers that have together received 227 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Cancer Cells and Metastasis (2 papers), Virus-based gene therapy research (2 papers), CAR-T cell therapy research (2 papers), Diabetes and associated disorders (2 papers), Multiple Myeloma Research and Treatments (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Immunology (93 citations), Hematology (31 citations), Oncology (52 citations), Molecular Biology (124 citations) and Radiology, Nuclear Medicine and Imaging (35 citations). Stephen DeWall has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Prafull Mistry, Juliet Reid, Blas Gil Extremera, Phil Ambery, Johanna Mora, Joleen T. White, Thomas N. Lee, Ann Schwartz, Xiaodong Fang and Tong‐Yuan Yang. Their work appears in journals such as Journal of Immunological Methods, PLoS ONE, Blood, The AAPS Journal and Molecular Therapy — Methods & Clinical Development.
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.