Benjamin Green
Impact in
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- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
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- Cancer Cells and Metastasis
- HER2/EGFR in Cancer Research
- Cancer Immunotherapy and Biomarkers
Papers in
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- Single-cell and spatial transcriptomics 4
- Co-authors
- Peter T. Simpson (1 shared paper)Margaret C. Cummings (1 shared paper)Sunil R. Lakhani (1 shared paper)Janis M. Taube (7 shared papers)Meghan A. Brown (2 shared papers)Penny Rumbold (2 shared papers)Ken Webb (1 shared paper)Jeoung Soo Lee (1 shared paper)
- Journals
- Nutrients (1 paper)Scientific Reports (1 paper)Laboratory Investigation (1 paper)Endocrine Related Cancer (1 paper)Cell Death and Differentiation (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Benjamin Green
20 papers receiving 374 citations
Peers
Comparison fields: 5 of 90
- Cancer Research 121
- Oncology 120
- Gastroenterology 14
- Molecular Biology 151
- Immunology 44
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 | 177 | |
| 2 | 2019 | 33 | |
| 3 | 2016 | 31 | |
| 4 | 2011 | 26 | |
| 5 | 2018 | 20 | |
| 6 | 2020 | 17 | |
| 7 | 2016 | 17 | |
| 8 | 2012 | 16 | |
| 9 | 2020 | 7 | |
| 10 | 2021 | 6 | |
| 11 | 2021 | 6 | |
| 12 | 2023 | 4 | |
| 13 | 2015 | 4 | |
| 14 | 2016 | 3 | |
| 15 | 2020 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2020 | 2 | |
| 18 | Improved Subseasonal Prediction with Advanced Coupled Models including the 30km FIM-HYCOM Coupled Model | 2017 | 1 |
| 19 | 2023 | 1 | |
| 20 | 2019 | 1 |
About Benjamin Green
Benjamin Green is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Physiology and Surgery, having authored 23 papers that have together received 379 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Cell Image Analysis Techniques (3 papers), Cancer Cells and Metastasis (2 papers), Asthma and respiratory diseases (2 papers), Astronomical Observations and Instrumentation (2 papers), Colorectal Cancer Treatments and Studies (1 paper), Nerve injury and regeneration (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Cancer Research (121 citations), Oncology (120 citations), Gastroenterology (14 citations), Molecular Biology (151 citations) and Immunology (44 citations). Benjamin Green has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Peter T. Simpson, Margaret C. Cummings, Sunil R. Lakhani, Janis M. Taube, Meghan A. Brown, Penny Rumbold, Ken Webb, Jeoung Soo Lee, So‐Jung Gwak and Robert A. Anders. Their work appears in journals such as Nutrients, Scientific Reports, Laboratory Investigation, Endocrine Related Cancer and Cell Death and Differentiation.
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.