Benjamin Heyman
Impact in
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- Immune cells in cancer
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Phagocytosis and Immune Regulation
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- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Co-authors
- Yiping Yang (5 shared papers)Amy J. Petty (2 shared papers)David S. Hsu (1 shared paper)Ang Li (1 shared paper)Xiaopei Huang (1 shared paper)Rui Dai (1 shared paper)Thomas J. Kipps (5 shared papers)Anne Beaven (2 shared papers)
- Journals
- Cancers (6 papers)Blood (4 papers)Cancer Biology and Medicine (1 paper)Current Treatment Options in Neurology (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Benjamin Heyman
20 papers receiving 464 citations
Peers
Comparison fields: 5 of 76
- Immunology 183
- Oncology 184
- Clinical Biochemistry 19
- Cancer Research 41
- Genetics 27
Countries citing papers authored by Benjamin Heyman
This map shows the geographic impact of Benjamin Heyman'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 Benjamin Heyman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Heyman more than expected).
Fields of papers citing papers by Benjamin Heyman
This network shows the impact of papers produced by Benjamin Heyman. 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 Benjamin Heyman. The network helps show where Benjamin Heyman may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Heyman, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 218 | |
| 2 | 2016 | 57 | |
| 3 | 2016 | 45 | |
| 4 | 2019 | 34 | |
| 5 | 2020 | 24 | |
| 6 | 2018 | 17 | |
| 7 | 2024 | 15 | |
| 8 | 2023 | 13 | |
| 9 | 2022 | 10 | |
| 10 | 2018 | 8 | |
| 11 | 2019 | 5 | |
| 12 | 2022 | 5 | |
| 13 | 2023 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2025 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2018 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2022 | 1 |
About Benjamin Heyman
Benjamin Heyman is a scholar working on Oncology, Genetics, Pathology and Forensic Medicine, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 468 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (11 papers), Lymphoma Diagnosis and Treatment (10 papers), CAR-T cell therapy research (9 papers), Virus-based gene therapy research (3 papers), Nanowire Synthesis and Applications (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Lung Cancer Treatments and Mutations (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Immunology (183 citations), Oncology (184 citations), Clinical Biochemistry (19 citations), Cancer Research (41 citations) and Genetics (27 citations). Benjamin Heyman has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Yiping Yang, Amy J. Petty, David S. Hsu, Ang Li, Xiaopei Huang, Rui Dai, Thomas J. Kipps, Anne Beaven, Michael Y. Choi and Adam S. Barnett. Their work appears in journals such as Cancers, Blood, Cancer Biology and Medicine, Current Treatment Options in Neurology and Journal of Clinical Investigation.
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.