Yung‐Chi Cheng
- Molecular Biology top 1%
- Infectious Diseases top 0.5%
- Epidemiology top 1%
- Oncology top 2%
- Organic Chemistry top 2%
- Co-authors
- Lih‐Syng LeeWing LamGinger E. DutschmanShwu-Huey LiuÀngel PellicerRichard AxelSaul J. SilversteinMichael Wigler
- Topics
- HIV/AIDS drug development and treatment (106 papers)Biochemical and Molecular Research (58 papers)HIV Research and Treatment (44 papers)
- Journals
- CellProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Yung‐Chi Cheng
269 papers receiving 9.9k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Molecular Biology 5.5k
- Infectious Diseases 2.3k
- Epidemiology 2.0k
- Oncology 1.6k
- Organic Chemistry 1.2k
Countries citing papers authored by Yung‐Chi Cheng
This map shows the geographic impact of Yung‐Chi Cheng'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 Yung‐Chi Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yung‐Chi Cheng more than expected).
Fields of papers citing papers by Yung‐Chi Cheng
This network shows the impact of papers produced by Yung‐Chi Cheng. 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 Yung‐Chi Cheng. The network helps show where Yung‐Chi Cheng may publish in the future.
Co-authorship network of co-authors of Yung‐Chi Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Yung‐Chi Cheng. A scholar is included among the top collaborators of Yung‐Chi Cheng 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 Yung‐Chi Cheng. Yung‐Chi Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 17 | |
| 5 | 11 | |
| 6 | 18 | |
| 7 | 20 | |
| 8 | 19 | |
| 9 | 49 | |
| 10 | 61 | |
| 11 | 22 | |
| 12 | Abstract #4584: Exploration of the mechanisms of PHY906 in reducing the intestinal toxicity caused by irinotecan | 2 |
| 13 | 14 | |
| 14 | 8 | |
| 15 | PHY906 as a broad-spectrum enhancer in cancer therapy: Clinical and preclinical results in hepatocellular carcinoma | 15 |
| 16 | 3 | |
| 17 | 5 | |
| 18 | 30 | |
| 19 | 120 | |
| 20 | Metabolism of 1-beta-D-arabinofuranosyl-5-azacytosine and incorporation into DNA of human T-lymphoblastic cells (Molt-4). | 24 |
About Yung‐Chi Cheng
Yung‐Chi Cheng is a scholar working on Virology, Infectious Diseases and Complementary and alternative medicine, having authored 272 papers that have together received 10.4k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (106 papers), Biochemical and Molecular Research (58 papers) and HIV Research and Treatment (44 papers). The work is most often cited by research in Virology (1.0k citations), Infectious Diseases (2.3k citations) and Pharmacology (711 citations). Yung‐Chi Cheng has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Lih‐Syng Lee, Wing Lam, Ginger E. Dutschman, Shwu-Huey Liu, Àngel Pellicer, Richard Axel, Saul J. Silverstein, Michael Wigler, Elizabeth A. Gullen and Zaoli Jiang. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences 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.