Eric S. Hoffman
Impact in
- Oncology top 5%
- Cancer-related Molecular Pathways
- CAR-T cell therapy research
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
-
- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 2
- Immune Response and Inflammation 2
- Atherosclerosis and Cardiovascular Diseases 1
- Immunotherapy and Immune Responses 1
- Oncology 3
- Cancer-related Molecular Pathways 2
- Co-authors
- Adrian Hayday (4 shared papers)Andrew Koff (2 shared papers)Lawrence A. Frohman (1 shared paper)Rhonda D. Kineman (1 shared paper)Masao Ono (1 shared paper)Hiroaki Kiyokawa (1 shared paper)Katia Manova‐Todorova (1 shared paper)Lorena Passoni (2 shared papers)
- Journals
- Seminars in Immunology (1 paper)Genes & Development (1 paper)Immunity (1 paper)Cell (1 paper)Nature Reviews Drug Discovery (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Eric S. Hoffman
6 papers receiving 1.5k citations
Eric S. Hoffman's Hit Papers
Peers
Comparison fields: 5 of 77
- Oncology 831
- Immunology 428
- Molecular Biology 895
- Cancer Research 157
- Cell Biology 161
Countries citing papers authored by Eric S. Hoffman
This map shows the geographic impact of Eric S. Hoffman'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 Eric S. Hoffman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric S. Hoffman more than expected).
Fields of papers citing papers by Eric S. Hoffman
This network shows the impact of papers produced by Eric S. Hoffman. 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 Eric S. Hoffman. The network helps show where Eric S. Hoffman may publish in the future.
Co-authors
The 20 scholars most cited alongside Eric S. Hoffman, 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 | Enhanced Growth of Mice Lacking the Cyclin-Dependent Kinase Inhibitor Function of p27 Hit paper breakdown → | 1996 | 1077 |
| 2 | 1996 | 276 | |
| 3 | 1997 | 101 | |
| 4 | 1999 | 42 | |
| 5 | 2005 | 39 | |
| 6 | Absence of a significant mixed lymphocyte reaction in a marsupial (Monodelphis domestica). | 1998 | 32 |
About Eric S. Hoffman
Eric S. Hoffman is a scholar working on Immunology, Oncology, Molecular Biology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 6 papers that have together received 1.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (2 papers), Immune Response and Inflammation (2 papers), Cancer-related Molecular Pathways (2 papers), Atherosclerosis and Cardiovascular Diseases (1 paper), Epigenetics and DNA Methylation (1 paper), Ubiquitin and proteasome pathways (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Oncology (831 citations), Immunology (428 citations), Molecular Biology (895 citations), Cancer Research (157 citations) and Cell Biology (161 citations). Eric S. Hoffman has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Adrian Hayday, Andrew Koff, Lawrence A. Frohman, Rhonda D. Kineman, Masao Ono, Hiroaki Kiyokawa, Katia Manova‐Todorova, Lorena Passoni, Tessa Crompton and Michael J. Owen. Their work appears in journals such as Seminars in Immunology, Genes & Development, Immunity, Cell and Nature Reviews Drug Discovery.
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.