Jin‐Chun Lu
Impact in
- Reproductive Medicine top 1%
- Sperm and Testicular Function
- Ovarian function and disorders
- Reproductive Health and Technologies
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- Reproductive Biology and Fertility
Papers in
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- Sperm and Testicular Function 32
- Reproductive Health and Technologies 4
- Ovarian function and disorders 3
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- Reproductive Biology and Fertility 9
- Co-authors
- Nian-Qing Lü (15 shared papers)Yu‐Feng Huang (16 shared papers)Yuanjiao Liang (8 shared papers)Jun Jing (4 shared papers)Bing Yao (3 shared papers)Hongye Zhang (6 shared papers)Jieh‐Haur Chen (1 shared paper)Fang Chen (6 shared papers)
In The Last Decade
Jin‐Chun Lu
60 papers receiving 900 citations
Peers
Comparison fields: 5 of 115
- Reproductive Medicine 535
- Public Health, Environmental and Occupational Health 237
- Physiology 23
- Urology 23
- Endocrinology, Diabetes and Metabolism 52
Countries citing papers authored by Jin‐Chun Lu
This map shows the geographic impact of Jin‐Chun Lu'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 Jin‐Chun Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin‐Chun Lu more than expected).
Fields of papers citing papers by Jin‐Chun Lu
This network shows the impact of papers produced by Jin‐Chun Lu. 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 Jin‐Chun Lu. The network helps show where Jin‐Chun Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin‐Chun Lu, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | [WHO Laboratory Manual for the Examination and Processing of Human Semen: its applicability to andrology laboratories in China]. | 2010 | 223 |
| 2 | 2013 | 100 | |
| 3 | 2016 | 69 | |
| 4 | 2018 | 61 | |
| 5 | 2016 | 43 | |
| 6 | 2022 | 38 | |
| 7 | 2007 | 37 | |
| 8 | 2013 | 33 | |
| 9 | 2007 | 25 | |
| 10 | 2014 | 24 | |
| 11 | 2012 | 24 | |
| 12 | 2009 | 20 | |
| 13 | 2015 | 18 | |
| 14 | 2006 | 17 | |
| 15 | 2018 | 14 | |
| 16 | 2022 | 12 | |
| 17 | 2015 | 10 | |
| 18 | [Correlations of 24 biochemical markers in seminal plasma with routine semen parameters]. | 2015 | 10 |
| 19 | 2007 | 10 | |
| 20 | 2023 | 7 |
About Jin‐Chun Lu
Jin‐Chun Lu is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Molecular Biology, Epidemiology and Urology, having authored 65 papers that have together received 921 indexed citations. Recurring topics across this work include Sperm and Testicular Function (32 papers), Reproductive Biology and Fertility (9 papers), Reproductive Health and Technologies (4 papers), Ovarian function and disorders (3 papers), Molecular Biology Techniques and Applications (3 papers), Reproductive tract infections research (3 papers), Urologic and reproductive health conditions (2 papers) and Urological Disorders and Treatments (2 papers). The work is most often cited by research in Reproductive Medicine (535 citations), Public Health, Environmental and Occupational Health (237 citations), Physiology (23 citations), Urology (23 citations) and Endocrinology, Diabetes and Metabolism (52 citations). Jin‐Chun Lu has collaborated with scholars based in China, Hong Kong and Bahrain. Frequent co-authors include Nian-Qing Lü, Yu‐Feng Huang, Yuanjiao Liang, Jun Jing, Bing Yao, Hongye Zhang, Jieh‐Haur Chen, Fang Chen, Mu-Chun Su and Li Chen. Their work appears in journals such as Andrologia, Journal of Clinical Laboratory Analysis, Asian Journal of Andrology, Scientific Reports and The Prostate.
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.