Stephen Gottschalk
Impact in
- Oncology top 0.1%
- CAR-T cell therapy research
- Viral-associated cancers and disorders
- Immunology top 0.2%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
- Oncology 208
- CAR-T cell therapy research 159
- Viral-associated cancers and disorders 37
- Immunology 101
- Immune Cell Function and Interaction 59
- Immunotherapy and Immune Responses 40
- Co-authors
- Cliona M. RooneyHelen E. HeslopMalcolm K. BrennerGianpietro DottiSunitha KakarlaNabil AhmedHao LiuBarbara Savoldo
- Journals
- Blood (40 papers)Biology of Blood and Marrow Transplantation (25 papers)Molecular Therapy (23 papers)Cytotherapy (12 papers)Journal of Immunotherapy (7 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Stephen Gottschalk
245 papers receiving 12.0k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Oncology 9.4k
- Immunology 4.7k
- Genetics 3.1k
- Hematology 728
- Pathology and Forensic Medicine 1.1k
Countries citing papers authored by Stephen Gottschalk
This map shows the geographic impact of Stephen Gottschalk'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 Gottschalk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Gottschalk more than expected).
Fields of papers citing papers by Stephen Gottschalk
This network shows the impact of papers produced by Stephen Gottschalk. 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 Gottschalk. The network helps show where Stephen Gottschalk may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephen Gottschalk, 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 | VDAC2 loss elicits tumour destruction and inflammation for cancer therapy Hit paper breakdown → | 2025 | 17 |
| 2 | 2024 | 11 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 10 | |
| 7 | 2022 | 19 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 43 | |
| 10 | 2021 | 47 | |
| 11 | 2021 | 142 | |
| 12 | 2021 | 8 | |
| 13 | 2021 | 56 | |
| 14 | 2019 | 219 | |
| 15 | 2017 | 180 | |
| 16 | 2017 | 28 | |
| 17 | 2017 | 255 | |
| 18 | 2017 | 220 | |
| 19 | 2017 | 144 | |
| 20 | 2010 | 319 |
About Stephen Gottschalk
Stephen Gottschalk is a scholar working on Oncology, Immunology, Hematology, Genetics and Pathology and Forensic Medicine, having authored 256 papers that have together received 12.2k indexed citations. Recurring topics across this work include CAR-T cell therapy research (159 papers), Immune Cell Function and Interaction (59 papers), Virus-based gene therapy research (54 papers), Immunotherapy and Immune Responses (40 papers), Viral-associated cancers and disorders (37 papers), Cytomegalovirus and herpesvirus research (31 papers), Nanowire Synthesis and Applications (28 papers) and Hematopoietic Stem Cell Transplantation (26 papers). The work is most often cited by research in Oncology (9.4k citations), Immunology (4.7k citations), Genetics (3.1k citations), Hematology (728 citations) and Pathology and Forensic Medicine (1.1k citations). Stephen Gottschalk has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Cliona M. Rooney, Helen E. Heslop, Malcolm K. Brenner, Gianpietro Dotti, Sunitha Kakarla, Nabil Ahmed, Hao Liu, Barbara Savoldo, Giedre Krenciute and Christopher DeRenzo. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, Molecular Therapy, Cytotherapy and Journal of Immunotherapy.
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.