Xun Ming
Impact in
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- Carcinogens and Genotoxicity Assessment
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- DNA Repair Mechanisms
- DNA and Nucleic Acid Chemistry
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- Advanced biosensing and bioanalysis techniques
Papers in
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- DNA Repair Mechanisms 7
- DNA and Nucleic Acid Chemistry 4
- Epigenetics and DNA Methylation 2
- Oncology 3
- Metal complexes synthesis and properties 2
- Co-authors
- Natalia Tretyakova (8 shared papers)Colin Campbell (5 shared papers)Steven G. Carmella (3 shared papers)Stephen S. Hecht (3 shared papers)Simona G. Codreanu (2 shared papers)Rachel Loeber (2 shared papers)D.C. Liebler (2 shared papers)Peter W. Villalta (3 shared papers)
- Journals
- Journal of Proteome Research (3 papers)Chemical Research in Toxicology (3 papers)Cancer Epidemiology Biomarkers & Prevention (1 paper)Free Radical Biology and Medicine (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Xun Ming
13 papers receiving 447 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 115
- Molecular Biology 291
- Health, Toxicology and Mutagenesis 58
- Chemical Health and Safety 2
- Physiology 61
Countries citing papers authored by Xun Ming
This map shows the geographic impact of Xun Ming'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 Xun Ming with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xun Ming more than expected).
Fields of papers citing papers by Xun Ming
This network shows the impact of papers produced by Xun Ming. 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 Xun Ming. The network helps show where Xun Ming may publish in the future.
Co-authors
The 25 scholars most cited alongside Xun Ming, 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 | 2013 | 71 | |
| 2 | 2010 | 61 | |
| 3 | 2011 | 61 | |
| 4 | 2014 | 45 | |
| 5 | 2014 | 41 | |
| 6 | 2017 | 40 | |
| 7 | 2013 | 37 | |
| 8 | 2013 | 29 | |
| 9 | 2018 | 24 | |
| 10 | 2017 | 17 | |
| 11 | 2014 | 16 | |
| 12 | 2020 | 8 | |
| 13 | A new monoterpene glycoside from Swertia punicea | 2000 | 4 |
About Xun Ming
Xun Ming is a scholar working on Molecular Biology, Oncology, Cancer Research, Physiology and Genetics, having authored 13 papers that have together received 454 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (7 papers), DNA and Nucleic Acid Chemistry (4 papers), Carcinogens and Genotoxicity Assessment (3 papers), Epigenetics and DNA Methylation (2 papers), Metal complexes synthesis and properties (2 papers), Smoking Behavior and Cessation (2 papers), Chromatography in Natural Products (1 paper) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Cancer Research (115 citations), Molecular Biology (291 citations), Health, Toxicology and Mutagenesis (58 citations), Chemical Health and Safety (2 citations) and Physiology (61 citations). Xun Ming has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Natalia Tretyakova, Colin Campbell, Steven G. Carmella, Stephen S. Hecht, Simona G. Codreanu, Rachel Loeber, D.C. Liebler, Peter W. Villalta, Andrea Yoder and Roger A. Jones. Their work appears in journals such as Journal of Proteome Research, Chemical Research in Toxicology, Cancer Epidemiology Biomarkers & Prevention, Free Radical Biology and Medicine 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.