Yinyan Tang
- Molecular Biology top 5%
- Pharmacology top 1%
- Organic Chemistry top 5%
- Biotechnology top 5%
- Oncology
- Co-authors
- Michelle R. ArkinJames A. WellsChaitan KhoslaDavid E. CaneChu‐Young KimAlice Y. ChenIrimpan I. MathewsNathan A. Schnarr
- Topics
- Microbial Natural Products and Biosynthesis (6 papers)Enzyme Production and Characterization (5 papers)Cell death mechanisms and regulation (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesChinaMalaysia
In The Last Decade
Yinyan Tang
23 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 1.3k
- Pharmacology 682
- Organic Chemistry 327
- Biotechnology 193
- Oncology 173
Countries citing papers authored by Yinyan Tang
This map shows the geographic impact of Yinyan 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 Yinyan Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yinyan Tang more than expected).
Fields of papers citing papers by Yinyan Tang
This network shows the impact of papers produced by Yinyan 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 Yinyan Tang. The network helps show where Yinyan Tang may publish in the future.
Co-authorship network of co-authors of Yinyan Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Yinyan Tang. A scholar is included among the top collaborators of Yinyan Tang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yinyan Tang. Yinyan Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 4 | |
| 3 | 75 | |
| 4 | 9 | |
| 5 | 22 | |
| 6 | 32 | |
| 7 | 32 | |
| 8 | Small-Molecule Inhibitors of Protein-Protein Interactions: Progressing toward the Realitybreakdown → | 765 |
| 9 | 6 | |
| 10 | 24 | |
| 11 | [Differences in the clinical features of Mycoplasma pneumoniae pneumonia among children of different ages]. | 7 |
| 12 | 27 | |
| 13 | 28 | |
| 14 | 137 | |
| 15 | 228 | |
| 16 | 226 | |
| 17 | 93 | |
| 18 | 30 | |
| 19 | 59 | |
| 20 | 13 |
About Yinyan Tang
Yinyan Tang is a scholar working on Biotechnology, Pharmacology and Neurology, having authored 23 papers that have together received 1.9k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (6 papers), Enzyme Production and Characterization (5 papers) and Cell death mechanisms and regulation (3 papers). The work is most often cited by research in Pharmacology (682 citations), Biotechnology (193 citations) and Molecular Biology (1.3k citations). Yinyan Tang has collaborated with scholars based in United States, China and Malaysia. Frequent co-authors include Michelle R. Arkin, James A. Wells, Chaitan Khosla, David E. Cane, Chu‐Young Kim, Alice Y. Chen, Irimpan I. Mathews, Nathan A. Schnarr, Pavel Strop and Ludvig M. Sollid. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.