Tam Dang
Impact in
-
- RNA Research and Splicing
- Nuclear Structure and Function
- Genomics and Chromatin Dynamics
- Chemical Synthesis and Analysis
-
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
- Immunology 10
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 9
- Co-authors
- Edward W. TateRoderich D. SüßmuthWilliam P. HealDouglass J. ForbesPhilippe HartlDorothy YuanJoel GottesfeldAndrej Shevchenko
- Journals
- The Journal of Immunology (5 papers)International Immunology (2 papers)Molecular and Cellular Biology (2 papers)The Journal of Cell Biology (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Tam Dang
29 papers receiving 941 citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 588
- Immunology 176
- Pharmacology 92
- Cell Biology 74
- Organic Chemistry 123
Countries citing papers authored by Tam Dang
This map shows the geographic impact of Tam 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 Tam Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tam Dang more than expected).
Fields of papers citing papers by Tam Dang
This network shows the impact of papers produced by Tam 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 Tam Dang. The network helps show where Tam Dang may publish in the future.
Co-authors
The 25 scholars most cited alongside Tam 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2022 | 11 | |
| 6 | 2011 | 10 | |
| 7 | 2011 | 7 | |
| 8 | 2010 | 53 | |
| 9 | 2010 | 164 | |
| 10 | 2005 | 30 | |
| 11 | 2001 | 40 | |
| 12 | 2001 | 6 | |
| 13 | 1997 | 133 | |
| 14 | 1996 | 19 | |
| 15 | 1995 | 6 | |
| 16 | 1994 | 1 | |
| 17 | 1994 | 25 | |
| 18 | 1994 | 114 | |
| 19 | 1992 | 34 | |
| 20 | 1989 | 10 |
About Tam Dang
Tam Dang is a scholar working on Immunology, Molecular Medicine, Pharmacology, Microbiology and Radiology, Nuclear Medicine and Imaging, having authored 31 papers that have together received 956 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (9 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), RNA Research and Splicing (5 papers), Microbial Natural Products and Biosynthesis (3 papers), RNA and protein synthesis mechanisms (3 papers), Genomics and Chromatin Dynamics (3 papers) and Reproductive Biology and Fertility (2 papers). The work is most often cited by research in Molecular Biology (588 citations), Immunology (176 citations), Pharmacology (92 citations), Cell Biology (74 citations) and Organic Chemistry (123 citations). Tam Dang has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Edward W. Tate, Roderich D. Süßmuth, William P. Heal, Douglass J. Forbes, Philippe Hartl, Dorothy Yuan, Joel Gottesfeld, Andrej Shevchenko, Matthias Mann and Ed Hurt. Their work appears in journals such as The Journal of Immunology, International Immunology, Molecular and Cellular Biology, The Journal of Cell Biology and Journal of the American Chemical Society.
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.