Meilan Jin
Impact in
- Cancer Research top 5%
- Carcinogens and Genotoxicity Assessment
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
Papers in
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- Genomics, phytochemicals, and oxidative stress 18
- Glutathione Transferases and Polymorphisms 8
- Peroxisome Proliferator-Activated Receptors 7
- DNA Repair Mechanisms 5
- Retinoids in leukemia and cellular processes 4
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- Carcinogens and Genotoxicity Assessment 14
- Co-authors
- Takashi Umemura (20 shared papers)Kunitoshi Mitsumori (31 shared papers)Yasuaki Dewa (21 shared papers)Jihei Nishimura (20 shared papers)Akiyoshi Nishikawa (14 shared papers)Masako Muguruma (16 shared papers)Daisuke Hibi (12 shared papers)Yuta Suzuki (9 shared papers)
In The Last Decade
Meilan Jin
50 papers receiving 759 citations
Peers
Comparison fields: 5 of 88
- Cancer Research 281
- Pharmacology 111
- Molecular Biology 393
- Health, Toxicology and Mutagenesis 75
- Plant Science 181
Countries citing papers authored by Meilan Jin
This map shows the geographic impact of Meilan Jin'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 Meilan Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meilan Jin more than expected).
Fields of papers citing papers by Meilan Jin
This network shows the impact of papers produced by Meilan Jin. 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 Meilan Jin. The network helps show where Meilan Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Meilan Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 69 | |
| 2 | 2007 | 50 | |
| 3 | 2007 | 49 | |
| 4 | 2013 | 39 | |
| 5 | 2008 | 38 | |
| 6 | 2009 | 36 | |
| 7 | 2008 | 33 | |
| 8 | 2011 | 31 | |
| 9 | 2012 | 30 | |
| 10 | 2011 | 29 | |
| 11 | 2012 | 27 | |
| 12 | 2012 | 24 | |
| 13 | 2012 | 22 | |
| 14 | 2006 | 22 | |
| 15 | 2008 | 19 | |
| 16 | 2016 | 17 | |
| 17 | 2006 | 16 | |
| 18 | 2007 | 16 | |
| 19 | 2009 | 16 | |
| 20 | 2006 | 14 |
About Meilan Jin
Meilan Jin is a scholar working on Molecular Biology, Cancer Research, Pharmacology, Plant Science and Oncology, having authored 52 papers that have together received 780 indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (18 papers), Carcinogens and Genotoxicity Assessment (14 papers), Glutathione Transferases and Polymorphisms (8 papers), Peroxisome Proliferator-Activated Receptors (7 papers), Pharmacogenetics and Drug Metabolism (6 papers), DNA Repair Mechanisms (5 papers), Retinoids in leukemia and cellular processes (4 papers) and Alcohol Consumption and Health Effects (3 papers). The work is most often cited by research in Cancer Research (281 citations), Pharmacology (111 citations), Molecular Biology (393 citations), Health, Toxicology and Mutagenesis (75 citations) and Plant Science (181 citations). Meilan Jin has collaborated with scholars based in Japan, Sri Lanka and China. Frequent co-authors include Takashi Umemura, Kunitoshi Mitsumori, Yasuaki Dewa, Jihei Nishimura, Akiyoshi Nishikawa, Masako Muguruma, Daisuke Hibi, Yuta Suzuki, Yukie Saegusa and Takehiko Nohmi. Their work appears in journals such as Archives of Toxicology, Toxicology, Toxicologic Pathology, Toxicological Sciences and Food and Chemical Toxicology.
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.