Stephen J. Schuster
Impact in
- Oncology top 0.1%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Viral-associated cancers and disorders
- Pathology and Forensic Medicine top 0.05%
- Lymphoma Diagnosis and Treatment
Papers in
-
- Lymphoma Diagnosis and Treatment 212
- Genetics 117
- Chronic Lymphocytic Leukemia Research 109
- Co-authors
- Jakub SvobodaSunita D. NastaElise A. ChongDaniel J. LandsburgEdward A. StadtmauerDavid L. PorterDonald E. TsaiCarl H. June
- Journals
- Blood (123 papers)Journal of Clinical Oncology (39 papers)American Journal of Hematology (16 papers)Blood Advances (15 papers)Hematological Oncology (12 papers)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Stephen J. Schuster
348 papers receiving 11.5k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Oncology 8.3k
- Pathology and Forensic Medicine 4.7k
- Genetics 2.0k
- Immunology 2.9k
- Hematology 1.0k
Countries citing papers authored by Stephen J. Schuster
This map shows the geographic impact of Stephen J. Schuster'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 J. Schuster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen J. Schuster more than expected).
Fields of papers citing papers by Stephen J. Schuster
This network shows the impact of papers produced by Stephen J. Schuster. 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 J. Schuster. The network helps show where Stephen J. Schuster may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephen J. Schuster, 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 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 34 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 1 | |
| 11 | 2022 | 26 | |
| 12 | 2022 | 12 | |
| 13 | 2021 | 4 | |
| 14 | 2017 | 7 | |
| 15 | 2016 | 141 | |
| 16 | 2015 | 46 | |
| 17 | 2015 | 113 | |
| 18 | 2014 | 138 | |
| 19 | 2008 | 29 | |
| 20 | 2003 | 4 |
About Stephen J. Schuster
Stephen J. Schuster is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Hematology and Dermatology, having authored 366 papers that have together received 11.7k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (212 papers), CAR-T cell therapy research (161 papers), Chronic Lymphocytic Leukemia Research (109 papers), Viral-associated cancers and disorders (39 papers), Cutaneous lymphoproliferative disorders research (24 papers), CNS Lymphoma Diagnosis and Treatment (22 papers), Multiple Myeloma Research and Treatments (22 papers) and Monoclonal and Polyclonal Antibodies Research (22 papers). The work is most often cited by research in Oncology (8.3k citations), Pathology and Forensic Medicine (4.7k citations), Genetics (2.0k citations), Immunology (2.9k citations) and Hematology (1.0k citations). Stephen J. Schuster has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Jakub Svoboda, Sunita D. Nasta, Elise A. Chong, Daniel J. Landsburg, Edward A. Stadtmauer, David L. Porter, Donald E. Tsai, Carl H. June, Simon F. Lacey and Philippe Armand. Their work appears in journals such as Blood, Journal of Clinical Oncology, American Journal of Hematology, Blood Advances and Hematological Oncology.
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.