Eric V. Dang
Impact in
- Immunology top 1%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
- Immunotherapy and Immune Responses
- interferon and immune responses
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- T-cell and B-cell Immunology 2
- interferon and immune responses 2
- Immune Cell Function and Interaction 2
- Immunotherapy and Immune Responses 2
- Surgery 6
- Cholesterol and Lipid Metabolism 6
- Co-authors
- Jason G. Cyster (7 shared papers)Jeffrey G. McDonald (3 shared papers)Andrea Reboldi (3 shared papers)David W. Russell (2 shared papers)Fan Pan (3 shared papers)Drew M. Pardoll (3 shared papers)Hong Yu (3 shared papers)Huang‐Yu Yang (2 shared papers)
- Journals
- Cell (2 papers)Science (2 papers)Trends in Immunology (1 paper)Science Immunology (1 paper)Disease Models & Mechanisms (1 paper)
- Partner nations
- United StatesSwitzerlandTaiwan
In The Last Decade
Eric V. Dang
18 papers receiving 2.7k citations
Eric V. Dang's Hit Papers
Peers
Comparison fields: 5 of 97
- Immunology 1.5k
- Cancer Research 443
- Molecular Biology 944
- Oncology 344
- Surgery 502
Countries citing papers authored by Eric V. Dang
This map shows the geographic impact of Eric V. Dang'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 V. Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric V. Dang more than expected).
Fields of papers citing papers by Eric V. Dang
This network shows the impact of papers produced by Eric V. Dang. 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 V. Dang. The network helps show where Eric V. Dang may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric V. Dang, 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 | Control of TH17/Treg Balance by Hypoxia-Inducible Factor 1 Hit paper breakdown → | 2011 | 1294 |
| 2 | 25-Hydroxycholesterol suppresses interleukin-1–driven inflammation downstream of type I interferon Hit paper breakdown → | 2014 | 344 |
| 3 | 2014 | 270 | |
| 4 | 2017 | 267 | |
| 5 | 2009 | 251 | |
| 6 | 2017 | 71 | |
| 7 | 2022 | 50 | |
| 8 | 2023 | 31 | |
| 9 | 2018 | 24 | |
| 10 | 2022 | 17 | |
| 11 | 2020 | 15 | |
| 12 | 2020 | 12 | |
| 13 | 2023 | 10 | |
| 14 | 2010 | 9 | |
| 15 | 2018 | 8 | |
| 16 | 2024 | 6 | |
| 17 | 2021 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2008 | 1 |
About Eric V. Dang
Eric V. Dang is a scholar working on Immunology, Surgery, Molecular Biology, Infectious Diseases and Epidemiology, having authored 19 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (6 papers), Antifungal resistance and susceptibility (3 papers), Fungal Infections and Studies (3 papers), Inflammasome and immune disorders (3 papers), T-cell and B-cell Immunology (2 papers), interferon and immune responses (2 papers), Immune Cell Function and Interaction (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Immunology (1.5k citations), Cancer Research (443 citations), Molecular Biology (944 citations), Oncology (344 citations) and Surgery (502 citations). Eric V. Dang has collaborated with scholars based in United States, Switzerland and Taiwan. Frequent co-authors include Jason G. Cyster, Jeffrey G. McDonald, Andrea Reboldi, David W. Russell, Fan Pan, Drew M. Pardoll, Hong Yu, Huang‐Yu Yang, Young Kim and Hung‐Rong Yen. Their work appears in journals such as Cell, Science, Trends in Immunology, Science Immunology and Disease Models & Mechanisms.
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.