Eric Tang
Impact in
- Cancer Research top 5%
- NF-κB Signaling Pathways
- Molecular Biology top 5%
- Bone Metabolism and Diseases
- FOXO transcription factor regulation
- PI3K/AKT/mTOR signaling in cancer
- Cell death mechanisms and regulation
Papers in
-
- NF-κB Signaling Pathways 5
-
- interferon and immune responses 3
- Co-authors
- Kun‐Liang Guan (9 shared papers)Cun‐Yu Wang (7 shared papers)Gabriel Núñez (3 shared papers)Frederic G. Barr (1 shared paper)Cun-Yu Wang (4 shared papers)Fan Yang (2 shared papers)Renny T. Franceschi (1 shared paper)Zhuo Wang (1 shared paper)
- Journals
- Journal of Biological Chemistry (6 papers)PLoS ONE (2 papers)The Journal of Immunology (2 papers)Molecular and Cellular Biology (1 paper)Journal of Microelectromechanical Systems (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Eric Tang
17 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 92
- Cancer Research 382
- Molecular Biology 1.1k
- Immunology 308
- Aging 22
- Genetics 59
Countries citing papers authored by Eric Tang
This map shows the geographic impact of Eric Tang'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 Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Tang more than expected).
Fields of papers citing papers by Eric Tang
This network shows the impact of papers produced by Eric Tang. 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 Tang. The network helps show where Eric Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Tang, 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 | 1999 | 671 | |
| 2 | 2009 | 425 | |
| 3 | 2003 | 361 | |
| 4 | 2003 | 177 | |
| 5 | 2020 | 137 | |
| 6 | 2009 | 119 | |
| 7 | 2001 | 96 | |
| 8 | 2010 | 71 | |
| 9 | 2001 | 66 | |
| 10 | 1995 | 38 | |
| 11 | 2003 | 34 | |
| 12 | 2004 | 33 | |
| 13 | 2015 | 25 | |
| 14 | 2021 | 7 | |
| 15 | 2020 | 2 | |
| 16 | 2003 | 1 | |
| 17 | 2015 | 1 |
About Eric Tang
Eric Tang is a scholar working on Cancer Research, Immunology, Molecular Biology, Biomedical Engineering and Cell Biology, having authored 17 papers that have together received 2.3k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (5 papers), interferon and immune responses (3 papers), Microfluidic and Capillary Electrophoresis Applications (2 papers), Advanced Sensor and Energy Harvesting Materials (1 paper), Surface Chemistry and Catalysis (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Bone Metabolism and Diseases (1 paper) and PI3K/AKT/mTOR signaling in cancer (1 paper). The work is most often cited by research in Cancer Research (382 citations), Molecular Biology (1.1k citations), Immunology (308 citations), Aging (22 citations) and Genetics (59 citations). Eric Tang has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Kun‐Liang Guan, Cun‐Yu Wang, Gabriel Núñez, Frederic G. Barr, Cun-Yu Wang, Fan Yang, Renny T. Franceschi, Zhuo Wang, Laurie K. McCauley and Zhipeng Fan. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, The Journal of Immunology, Molecular and Cellular Biology and Journal of Microelectromechanical Systems.
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.