Benjamin D. Greenbaum
- Immunology top 1%
- Immunotherapy and Immune Responses 15
- interferon and immune responses 11
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers 13
- Infectious Diseases top 2%
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 6
- Virology top 5%
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- Influenza Virus Research Studies 14
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- RNA and protein synthesis mechanisms 9
- vaccines and immunoinformatics approaches 6
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- Monoclonal and Polyclonal Antibodies Research 5
Benjamin D. Greenbaum
71 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Immunology 1.5k
- Oncology 1.3k
- Infectious Diseases 626
- Cancer Research 402
- Virology 104
Countries citing papers authored by Benjamin D. Greenbaum
This map shows the geographic impact of Benjamin D. Greenbaum'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 D. Greenbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin D. Greenbaum more than expected).
Fields of papers citing papers by Benjamin D. Greenbaum
This network shows the impact of papers produced by Benjamin D. Greenbaum. 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 D. Greenbaum. The network helps show where Benjamin D. Greenbaum may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Benjamin D. Greenbaum, 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 | 2025 | 1 | |
| 2 | 2025 | 6 | |
| 3 | 2025 | 3 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 31 | |
| 8 | 2022 | 32 | |
| 9 | 2022 | 30 | |
| 10 | 2021 | 13 | |
| 11 | 2019 | 59 | |
| 12 | 2018 | 97 | |
| 13 | 2017 | 71 | |
| 14 | Patient HLA class I genotype influences cancer response to checkpoint blockade immunotherapybreakdown → | 2017 | 738 |
| 15 | 2017 | 17 | |
| 16 | Dengue virus NS2B protein targets cGAS for degradation and prevents mitochondrial DNA sensing during infectionbreakdown → | 2017 | 304 |
| 17 | 2016 | 223 | |
| 18 | 2016 | 90 | |
| 19 | 2014 | 2 | |
| 20 | 2007 | 12 |
About Benjamin D. Greenbaum
Benjamin D. Greenbaum is a scholar working on Immunology, Oncology, Infectious Diseases, Cancer Research and Molecular Biology, having authored 74 papers that have together received 3.8k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (15 papers), Influenza Virus Research Studies (14 papers), Cancer Immunotherapy and Biomarkers (13 papers), interferon and immune responses (11 papers), RNA and protein synthesis mechanisms (9 papers), vaccines and immunoinformatics approaches (6 papers), Cancer Genomics and Diagnostics (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Immunology (1.5k citations), Oncology (1.3k citations), Infectious Diseases (626 citations), Cancer Research (402 citations) and Virology (104 citations). Benjamin D. Greenbaum has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Arnold J. Levine, Raúl Rabadán, Nina Bhardwaj, Alexander Solovyov, Timothy A. Chan, Vladimir Makarov, Naiyer A. Rizvi, Nadeem Riaz, Robert Samstein and Vladimir Roudko. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE, Clinical Cancer Research, Nature Communications and Proceedings of the National Academy of Sciences.
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.