Marc Hoffmann
Impact in
- Oncology top 10%
- CAR-T cell therapy research
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
Papers in
- Oncology 29
- CAR-T cell therapy research 17
- Cancer Treatment and Pharmacology 4
- Viral-associated cancers and disorders 3
-
- Lymphoma Diagnosis and Treatment 16
- Co-authors
- Javier Muñoz (5 shared papers)Steve Arcona (2 shared papers)Won Chan Lee (2 shared papers)Qin Wang (2 shared papers)Chris L. Pashos (2 shared papers)Leyla Shune (5 shared papers)Bradley D. Hunter (1 shared paper)Nausheen Ahmed (13 shared papers)
- Journals
- Blood (16 papers)Journal of Clinical Oncology (7 papers)Transplantation and Cellular Therapy (5 papers)Blood Advances (3 papers)HemaSphere (2 papers)
- Partner nations
- United StatesPolandFrance
In The Last Decade
Marc Hoffmann
49 papers receiving 470 citations
Peers
Comparison fields: 5 of 68
- Oncology 206
- Pathology and Forensic Medicine 115
- Genetics 59
- Hematology 62
- Molecular Medicine 18
Countries citing papers authored by Marc Hoffmann
This map shows the geographic impact of Marc Hoffmann'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 Marc Hoffmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Hoffmann more than expected).
Fields of papers citing papers by Marc Hoffmann
This network shows the impact of papers produced by Marc Hoffmann. 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 Marc Hoffmann. The network helps show where Marc Hoffmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Hoffmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 83 | |
| 2 | 2005 | 45 | |
| 3 | 2023 | 42 | |
| 4 | 2023 | 27 | |
| 5 | 1999 | 26 | |
| 6 | 2009 | 24 | |
| 7 | 2018 | 22 | |
| 8 | 2014 | 21 | |
| 9 | 2020 | 19 | |
| 10 | 2023 | 18 | |
| 11 | 2025 | 16 | |
| 12 | 2015 | 12 | |
| 13 | 2024 | 10 | |
| 14 | 2023 | 9 | |
| 15 | 2021 | 9 | |
| 16 | 1993 | 9 | |
| 17 | 2019 | 8 | |
| 18 | 2021 | 8 | |
| 19 | 2005 | 8 | |
| 20 | 2024 | 6 |
About Marc Hoffmann
Marc Hoffmann is a scholar working on Oncology, Pathology and Forensic Medicine, Genetics, Hematology and Molecular Biology, having authored 59 papers that have together received 491 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (18 papers), CAR-T cell therapy research (17 papers), Lymphoma Diagnosis and Treatment (16 papers), Chronic Myeloid Leukemia Treatments (5 papers), Acute Lymphoblastic Leukemia research (5 papers), Cancer Treatment and Pharmacology (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Viral-associated cancers and disorders (3 papers). The work is most often cited by research in Oncology (206 citations), Pathology and Forensic Medicine (115 citations), Genetics (59 citations), Hematology (62 citations) and Molecular Medicine (18 citations). Marc Hoffmann has collaborated with scholars based in United States, Poland and France. Frequent co-authors include Javier Muñoz, Steve Arcona, Won Chan Lee, Qin Wang, Chris L. Pashos, Leyla Shune, Bradley D. Hunter, Nausheen Ahmed, Simu K. Thomas and Ramanan Laxminarayan. Their work appears in journals such as Blood, Journal of Clinical Oncology, Transplantation and Cellular Therapy, Blood Advances and HemaSphere.
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.