James C. Wang
- Toxicology top 0.01%
- Bioactive Compounds and Antitumor Agents 11
- Molecular Biology top 0.1%
- DNA and Nucleic Acid Chemistry 79
- Cancer therapeutics and mechanisms 66
- DNA Repair Mechanisms 25
- RNA and protein synthesis mechanisms 18
- Advanced biosensing and bioanalysis techniques 11
- Molecular Medicine top 0.5%
- Oncology top 0.5%
- Ecology top 1%
- Bacteriophages and microbial interactions 25
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- Bacterial Genetics and Biotechnology 17
- Co-authors
- Leroy F. LiuGuri GiaeverLawrence J. PeckJames M. BergerStephen C. HarrisonS.J. GamblinKarla KirkegaardNorman Davidson
- Journals
- Journal of Molecular Biology (23 papers)Proceedings of the National Academy of Sciences (17 papers)Cell (14 papers)
- Partner nations
- United StatesJapanFrance
In The Last Decade
James C. Wang
177 papers receiving 16.8k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Toxicology 1.8k
- Molecular Biology 14.9k
- Molecular Medicine 837
- Oncology 3.1k
- Ecology 1.9k
Countries citing papers authored by James C. Wang
This map shows the geographic impact of James C. Wang'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 James C. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James C. Wang more than expected).
Fields of papers citing papers by James C. Wang
This network shows the impact of papers produced by James C. Wang. 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 James C. Wang. The network helps show where James C. Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside James C. Wang, 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 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2022 | 5 | |
| 4 | 2019 | 12 | |
| 5 | 2014 | 4 | |
| 6 | 2005 | 15 | |
| 7 | 2004 | 57 | |
| 8 | 2003 | 21 | |
| 9 | Physical chemistry : principles and applications in biological sciences : solutions manual | 2002 | 5 |
| 10 | 2002 | 34 | |
| 11 | 1999 | 37 | |
| 12 | 1994 | 89 | |
| 13 | 1994 | 18 | |
| 14 | 1994 | 33 | |
| 15 | 1994 | 7 | |
| 16 | 1992 | 1 | |
| 17 | 1992 | 274 | |
| 18 | 1990 | 18 | |
| 19 | 1990 | 216 | |
| 20 | 1988 | 236 |
About James C. Wang
James C. Wang is a scholar working on Toxicology, Otorhinolaryngology, Molecular Biology, Ecology and Molecular Medicine, having authored 181 papers that have together received 17.7k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (79 papers), Cancer therapeutics and mechanisms (66 papers), DNA Repair Mechanisms (25 papers), Bacteriophages and microbial interactions (25 papers), RNA and protein synthesis mechanisms (18 papers), Bacterial Genetics and Biotechnology (17 papers), Advanced biosensing and bioanalysis techniques (11 papers) and Bioactive Compounds and Antitumor Agents (11 papers). The work is most often cited by research in Toxicology (1.8k citations), Molecular Biology (14.9k citations), Molecular Medicine (837 citations), Oncology (3.1k citations) and Ecology (1.9k citations). James C. Wang has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Leroy F. Liu, Guri Giaever, Lawrence J. Peck, James M. Berger, Stephen C. Harrison, S.J. Gamblin, Karla Kirkegaard, Norman Davidson, David S. Horowitz and Joaquím Roca. Their work appears in journals such as Journal of Molecular Biology, Proceedings of the National Academy of Sciences, Cell, Journal of Biological Chemistry and Biochemistry.
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.