Mark Buckup
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
- T-cell and B-cell Immunology
Papers in
- Oncology 5
- CAR-T cell therapy research 3
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Matteo Iannacone (1 shared paper)Eyal David (1 shared paper)Ido Amit (1 shared paper)Merav Cohen (1 shared paper)Iris Kamer (1 shared paper)Jair Bar (1 shared paper)Oren Barboy (1 shared paper)Barbara B. Maier (1 shared paper)
- Journals
- Nature Medicine (4 papers)Science Translational Medicine (1 paper)Nature Cancer (1 paper)Clinical Proteomics (1 paper)Cell (1 paper)
- Partner nations
- United StatesItalyNetherlands
In The Last Decade
Mark Buckup
15 papers receiving 1.2k citations
Mark Buckup's Hit Papers
Peers
Comparison fields: 5 of 85
- Hepatology 152
- Immunology 415
- Oncology 407
- Cancer Research 99
- Molecular Biology 315
Countries citing papers authored by Mark Buckup
This map shows the geographic impact of Mark Buckup'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 Mark Buckup with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Buckup more than expected).
Fields of papers citing papers by Mark Buckup
This network shows the impact of papers produced by Mark Buckup. 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 Mark Buckup. The network helps show where Mark Buckup may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Buckup, 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 | Intratumoral dendritic cell–CD4+ T helper cell niches enable CD8+ T cell differentiation following PD-1 blockade in hepatocellular carcinoma Hit paper breakdown → | 2023 | 278 |
| 2 | Spatial CRISPR genomics identifies regulators of the tumor microenvironment Hit paper breakdown → | 2022 | 186 |
| 3 | Neoadjuvant cemiplimab for resectable hepatocellular carcinoma: a single-arm, open-label, phase 2 trial Hit paper breakdown → | 2022 | 181 |
| 4 | 2022 | 146 | |
| 5 | 2023 | 139 | |
| 6 | 2022 | 73 | |
| 7 | 2022 | 47 | |
| 8 | 2020 | 46 | |
| 9 | 2021 | 41 | |
| 10 | 2022 | 28 | |
| 11 | 2020 | 16 | |
| 12 | 2022 | 4 | |
| 13 | 2026 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2025 | 2 |
About Mark Buckup
Mark Buckup is a scholar working on Oncology, Emergency Medical Services, Immunology, Neurology and Cell Biology, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include CAR-T cell therapy research (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Immunotherapy and Immune Responses (2 papers), Long-Term Effects of COVID-19 (2 papers), Immune Cell Function and Interaction (2 papers), Single-cell and spatial transcriptomics (2 papers), CRISPR and Genetic Engineering (1 paper) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Hepatology (152 citations), Immunology (415 citations), Oncology (407 citations), Cancer Research (99 citations) and Molecular Biology (315 citations). Mark Buckup has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Matteo Iannacone, Eyal David, Ido Amit, Merav Cohen, Iris Kamer, Jair Bar, Oren Barboy, Barbara B. Maier, Amos Tanay and Miriam Mérad. Their work appears in journals such as Nature Medicine, Science Translational Medicine, Nature Cancer, Clinical Proteomics and Cell.
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.