Marc Hoffmann
Impact in
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- CAR-T cell therapy research
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- Lymphoma Diagnosis and Treatment
Papers in ⓘ
- Oncology 29
- CAR-T cell therapy research 16
- Cancer Treatment and Pharmacology 4
- Viral-associated cancers and disorders 4
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- Lymphoma Diagnosis and Treatment 17
- Co-authors
- Javier Muñoz (4 shared papers)Michael R. Eber (1 shared paper)Ramanan Laxminarayan (1 shared paper)Nausheen Ahmed (13 shared papers)Muhammad Umair Mushtaq (10 shared papers)Joseph P. McGuirk (10 shared papers)Qin Wang (2 shared papers)Steve Arcona (2 shared papers)
- Journals
- Blood (16 papers)Journal of Clinical Oncology (7 papers)Transplantation and Cellular Therapy (4 papers)Blood Advances (3 papers)HemaSphere (2 papers)
- Partner nations
- United StatesPolandFrance
In The Last Decade
Marc Hoffmann
49 papers receiving 414 citations
Peers
Comparison fields: 5 of 72
- Oncology 209
- Pathology and Forensic Medicine 106
- Hematology 65
- Genetics 59
- Molecular Medicine 20
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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 77 | |
| 2 | 2005 | 36 | |
| 3 | 2023 | 35 | |
| 4 | 2023 | 24 | |
| 5 | 2009 | 24 | |
| 6 | 1999 | 23 | |
| 7 | 2018 | 21 | |
| 8 | 2014 | 19 | |
| 9 | 2020 | 19 | |
| 10 | 2023 | 13 | |
| 11 | 2025 | 9 | |
| 12 | 1993 | 9 | |
| 13 | 2021 | 9 | |
| 14 | 2015 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2005 | 8 | |
| 17 | 2021 | 8 | |
| 18 | 2019 | 7 | |
| 19 | 2021 | 6 | |
| 20 | 2001 | 5 |
About Marc Hoffmann
Marc Hoffmann is a scholar working on Oncology, Pathology and Forensic Medicine, Genetics, Hematology and Molecular Biology, having authored 58 papers that have together received 428 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (18 papers), Lymphoma Diagnosis and Treatment (17 papers), CAR-T cell therapy research (16 papers), Chronic Myeloid Leukemia Treatments (5 papers), Cancer Treatment and Pharmacology (4 papers), Viral-associated cancers and disorders (4 papers), Acute Lymphoblastic Leukemia research (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Oncology (209 citations), Pathology and Forensic Medicine (106 citations), Hematology (65 citations), Genetics (59 citations) and Molecular Medicine (20 citations). Marc Hoffmann has collaborated with scholars based in United States, Poland and France. Frequent co-authors include Javier Muñoz, Michael R. Eber, Ramanan Laxminarayan, Nausheen Ahmed, Muhammad Umair Mushtaq, Joseph P. McGuirk, Qin Wang, Steve Arcona, Chris L. Pashos and Won Chan Lee. 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.