Anthony Venida
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Immune cells in cancer
- Immunotherapy and Immune Responses
- Immunodeficiency and Autoimmune Disorders
- Physiology top 5%
Papers in
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- Immunotherapy and Immune Responses 2
- Immune cells in cancer 2
- Immune Cell Function and Interaction 2
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- Autophagy in Disease and Therapy 2
- Co-authors
- Keisuke Yamamoto (2 shared papers)Rushika M. Perera (2 shared papers)Alec C. Kimmelman (2 shared papers)Robert S. Banh (1 shared paper)João A. Paulo (1 shared paper)Miwako Kakiuchi (1 shared paper)Seth J. Parker (1 shared paper)Douglas E. Biancur (1 shared paper)
- Journals
- Nature Communications (1 paper)Nature Medicine (1 paper)Autophagy (1 paper)The Journal of Immunology (1 paper)Cellular Microbiology (1 paper)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Anthony Venida
7 papers receiving 1.4k citations
Anthony Venida's Hit Papers
Peers
Comparison fields: 5 of 89
- Immunology 614
- Physiology 91
- Oncology 467
- Cancer Research 173
- Epidemiology 364
Countries citing papers authored by Anthony Venida
This map shows the geographic impact of Anthony Venida'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 Anthony Venida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anthony Venida more than expected).
Fields of papers citing papers by Anthony Venida
This network shows the impact of papers produced by Anthony Venida. 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 Anthony Venida. The network helps show where Anthony Venida may publish in the future.
Co-authors
The 25 scholars most cited alongside Anthony Venida, 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 | Autophagy promotes immune evasion of pancreatic cancer by degrading MHC-I Hit paper breakdown → | 2020 | 882 |
| 2 | 2020 | 239 | |
| 3 | 2014 | 194 | |
| 4 | 2020 | 69 | |
| 5 | 2016 | 40 | |
| 6 | 2025 | 1 | |
| 7 | 2020 | 1 |
About Anthony Venida
Anthony Venida is a scholar working on Immunology, Epidemiology, Molecular Biology, Oncology and Infectious Diseases, having authored 7 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (2 papers), Immunotherapy and Immune Responses (2 papers), Autophagy in Disease and Therapy (2 papers), Immune cells in cancer (2 papers), Immune Cell Function and Interaction (2 papers), Chronic Lymphocytic Leukemia Research (1 paper), Clostridium difficile and Clostridium perfringens research (1 paper) and Reproductive tract infections research (1 paper). The work is most often cited by research in Immunology (614 citations), Physiology (91 citations), Oncology (467 citations), Cancer Research (173 citations) and Epidemiology (364 citations). Anthony Venida has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Keisuke Yamamoto, Rushika M. Perera, Alec C. Kimmelman, Robert S. Banh, João A. Paulo, Miwako Kakiuchi, Seth J. Parker, Douglas E. Biancur, Kwun Wah Wen and Joseph D. Mancias. Their work appears in journals such as Nature Communications, Nature Medicine, Autophagy, The Journal of Immunology and Cellular Microbiology.
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.