Benjamin Green
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- CAR-T cell therapy research
-
- Cancer Genomics and Diagnostics
- Breast Cancer Treatment Studies
Papers in
- Oncology 7
- Cancer Immunotherapy and Biomarkers 3
- Cancer Cells and Metastasis 2
-
- Cell Image Analysis Techniques 3
- Co-authors
- Sunil R. Lakhani (1 shared paper)Margaret C. Cummings (1 shared paper)Peter T. Simpson (1 shared paper)Janis Marie Taube (6 shared papers)Qingfeng Zhu (1 shared paper)Imke Heleen Bartelink (1 shared paper)Robert A. Anders (2 shared papers)Meghan A. Brown (1 shared paper)
- Journals
- Journal for ImmunoTherapy of Cancer (2 papers)Otolaryngology (1 paper)Nutrients (1 paper)Cancer Immunology Research (1 paper)Laboratory Investigation (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Benjamin Green
23 papers receiving 709 citations
Peers
Comparison fields: 5 of 96
- Oncology 283
- Cancer Research 148
- Immunology 131
- Biophysics 33
- Molecular Biology 224
Countries citing papers authored by Benjamin Green
This map shows the geographic impact of Benjamin Green'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 Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Green more than expected).
Fields of papers citing papers by Benjamin Green
This network shows the impact of papers produced by Benjamin Green. 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 Green. The network helps show where Benjamin Green may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Green, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 196 | |
| 2 | 2021 | 141 | |
| 3 | 2018 | 132 | |
| 4 | 2019 | 38 | |
| 5 | 2016 | 35 | |
| 6 | 2011 | 27 | |
| 7 | 2018 | 21 | |
| 8 | 2016 | 20 | |
| 9 | 2020 | 18 | |
| 10 | 2012 | 16 | |
| 11 | 2025 | 12 | |
| 12 | 2021 | 11 | |
| 13 | 2020 | 10 | |
| 14 | 2024 | 10 | |
| 15 | 2023 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2023 | 6 | |
| 18 | 2015 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2016 | 3 |
About Benjamin Green
Benjamin Green is a scholar working on Oncology, Biophysics, Immunology, Cancer Research and Molecular Biology, having authored 23 papers that have together received 725 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), Single-cell and spatial transcriptomics (3 papers), Cell Image Analysis Techniques (3 papers), Immunotherapy and Immune Responses (3 papers), Cancer Cells and Metastasis (2 papers), Cancer Genomics and Diagnostics (1 paper), Cancer Research and Treatments (1 paper) and Digital Imaging for Blood Diseases (1 paper). The work is most often cited by research in Oncology (283 citations), Cancer Research (148 citations), Immunology (131 citations), Biophysics (33 citations) and Molecular Biology (224 citations). Benjamin Green has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Sunil R. Lakhani, Margaret C. Cummings, Peter T. Simpson, Janis Marie Taube, Qingfeng Zhu, Imke Heleen Bartelink, Robert A. Anders, Meghan A. Brown, Chang Gong and Wenting Cheng. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, Otolaryngology, Nutrients, Cancer Immunology Research and Laboratory 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.