Cha-Mer Wei
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- RNA modifications and cancer
- RNA Research and Splicing
- Cancer-related gene regulation
- RNA and protein synthesis mechanisms
Papers in
-
- RNA and protein synthesis mechanisms 5
- RNA modifications and cancer 5
- RNA Research and Splicing 5
- RNA Interference and Gene Delivery 3
- Genetics 3
- Virus-based gene therapy research 3
- Co-authors
- Bernard Moss (6 shared papers)Alan Gershowitz (3 shared papers)Edward M. Scolnick (2 shared papers)Calvin S. McLaughlin (3 shared papers)Marianne Gibson (1 shared paper)Patricia G. Spear (1 shared paper)Robert F. Boone (2 shared papers)Maurice H. Vaughan (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Journal of Virology (2 papers)Biochemical and Biophysical Research Communications (1 paper)Virology (1 paper)Nature (1 paper)
- Partner nations
- United States
In The Last Decade
Cha-Mer Wei
16 papers receiving 1.8k citations
Cha-Mer Wei's Hit Papers
Peers
Comparison fields: 5 of 76
- Cancer Research 460
- Molecular Biology 1.6k
- Virology 105
- Genetics 353
- Ecology 161
Countries citing papers authored by Cha-Mer Wei
This map shows the geographic impact of Cha-Mer Wei'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 Cha-Mer Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cha-Mer Wei more than expected).
Fields of papers citing papers by Cha-Mer Wei
This network shows the impact of papers produced by Cha-Mer Wei. 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 Cha-Mer Wei. The network helps show where Cha-Mer Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Cha-Mer Wei, 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 | Methylated nucleotides block 5′ terminus of HeLa cell messenger RNA Hit paper breakdown → | 1975 | 625 |
| 2 | 1975 | 266 | |
| 3 | 1977 | 221 | |
| 4 | 1975 | 200 | |
| 5 | 1981 | 193 | |
| 6 | 1976 | 89 | |
| 7 | 1980 | 81 | |
| 8 | 1974 | 66 | |
| 9 | 1974 | 53 | |
| 10 | 1987 | 48 | |
| 11 | 1980 | 37 | |
| 12 | 1974 | 31 | |
| 13 | 1985 | 28 | |
| 14 | 1989 | 26 | |
| 15 | 1987 | 22 | |
| 16 | 1977 | 13 |
About Cha-Mer Wei
Cha-Mer Wei is a scholar working on Molecular Biology, Genetics, Cancer Research, Ecology and Oncology, having authored 16 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (5 papers), RNA Research and Splicing (5 papers), Virus-based gene therapy research (3 papers), RNA Interference and Gene Delivery (3 papers), Protease and Inhibitor Mechanisms (3 papers), Toxin Mechanisms and Immunotoxins (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Cancer Research (460 citations), Molecular Biology (1.6k citations), Virology (105 citations), Genetics (353 citations) and Ecology (161 citations). Cha-Mer Wei has collaborated with scholars based in United States. Frequent co-authors include Bernard Moss, Alan Gershowitz, Edward M. Scolnick, Calvin S. McLaughlin, Marianne Gibson, Patricia G. Spear, Robert F. Boone, Maurice H. Vaughan, Douglas R. Lowy and E M Scolnick. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Virology, Biochemical and Biophysical Research Communications, Virology and Nature.
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.