Chen Tan
Impact in
- Reproductive Medicine top 5%
- Sperm and Testicular Function
- Ovarian function and disorders
Papers in
-
- Plant Gene Expression Analysis 12
- Plant biochemistry and biosynthesis 10
-
- Sperm and Testicular Function 10
- Co-authors
- Lanlan Meng (17 shared papers)Yue‐Qiu Tan (17 shared papers)Juan Du (15 shared papers)Wenbin He (10 shared papers)Chaofeng Tu (14 shared papers)Ge Lin (6 shared papers)Mary‐Lou Pardue (1 shared paper)Olga N. Danilevskaya (1 shared paper)
- Journals
- BMC Plant Biology (5 papers)Journal of Assisted Reproduction and Genetics (4 papers)BMC Genomics (3 papers)Journal of Medical Genetics (3 papers)Frontiers in Plant Science (2 papers)
- Partner nations
- ChinaRussiaUnited Kingdom
In The Last Decade
Chen Tan
36 papers receiving 309 citations
Peers
Comparison fields: 5 of 48
- Reproductive Medicine 92
- Aging 6
- Genetics 79
- Public Health, Environmental and Occupational Health 69
- Molecular Biology 156
Countries citing papers authored by Chen Tan
This map shows the geographic impact of Chen Tan'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 Chen Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Tan more than expected).
Fields of papers citing papers by Chen Tan
This network shows the impact of papers produced by Chen Tan. 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 Chen Tan. The network helps show where Chen Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen Tan, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 38 | |
| 2 | 2021 | 33 | |
| 3 | 2020 | 24 | |
| 4 | 2022 | 21 | |
| 5 | 2022 | 21 | |
| 6 | 2020 | 19 | |
| 7 | 2024 | 17 | |
| 8 | 2023 | 14 | |
| 9 | 2022 | 13 | |
| 10 | 2023 | 13 | |
| 11 | 2022 | 10 | |
| 12 | 2022 | 10 | |
| 13 | 2023 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2023 | 6 | |
| 18 | 2025 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2024 | 4 |
About Chen Tan
Chen Tan is a scholar working on Molecular Biology, Reproductive Medicine, Plant Science, Genetics and Public Health, Environmental and Occupational Health, having authored 41 papers that have together received 314 indexed citations. Recurring topics across this work include Plant Gene Expression Analysis (12 papers), Sperm and Testicular Function (10 papers), Plant biochemistry and biosynthesis (10 papers), Reproductive Biology and Fertility (6 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Phytochemicals and Antioxidant Activities (3 papers), Chromosomal and Genetic Variations (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Reproductive Medicine (92 citations), Aging (6 citations), Genetics (79 citations), Public Health, Environmental and Occupational Health (69 citations) and Molecular Biology (156 citations). Chen Tan has collaborated with scholars based in China, Russia and United Kingdom. Frequent co-authors include Lanlan Meng, Yue‐Qiu Tan, Juan Du, Wenbin He, Chaofeng Tu, Ge Lin, Mary‐Lou Pardue, Olga N. Danilevskaya, Guangxiu Lu and Hongchuan Nie. Their work appears in journals such as BMC Plant Biology, Journal of Assisted Reproduction and Genetics, BMC Genomics, Journal of Medical Genetics and Frontiers in Plant Science.
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.