Jun‐Xue Jin
Impact in
- Reproductive Medicine top 5%
- Sperm and Testicular Function
- Ovarian function and disorders
- Aging top 10%
Papers in
-
- Pluripotent Stem Cells Research 13
- CRISPR and Genetic Engineering 12
- Renal and related cancers 5
- RNA and protein synthesis mechanisms 4
-
- Reproductive Biology and Fertility 21
- Co-authors
- Sanghoon Lee (21 shared papers)Byeong Chun Lee (18 shared papers)Geon A Kim (16 shared papers)Anukul Taweechaipaisankul (15 shared papers)Curie Ahn (5 shared papers)Liu Z (11 shared papers)Chang−Guo Yan (7 shared papers)Suo Li (7 shared papers)
- Journals
- Theriogenology (6 papers)Antioxidants (4 papers)Journal of Veterinary Science (3 papers)Journal of Cellular Physiology (3 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- ChinaSouth KoreaEthiopia
In The Last Decade
Jun‐Xue Jin
36 papers receiving 677 citations
Peers
Comparison fields: 5 of 71
- Reproductive Medicine 148
- Aging 32
- Public Health, Environmental and Occupational Health 381
- Endocrine and Autonomic Systems 71
- Molecular Biology 356
Countries citing papers authored by Jun‐Xue Jin
This map shows the geographic impact of Jun‐Xue 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 Jun‐Xue Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐Xue Jin more than expected).
Fields of papers citing papers by Jun‐Xue Jin
This network shows the impact of papers produced by Jun‐Xue 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 Jun‐Xue Jin. The network helps show where Jun‐Xue Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun‐Xue 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 134 | |
| 2 | 2017 | 48 | |
| 3 | 2019 | 45 | |
| 4 | 2016 | 45 | |
| 5 | 2018 | 43 | |
| 6 | 2018 | 28 | |
| 7 | 2017 | 26 | |
| 8 | 2012 | 26 | |
| 9 | 2017 | 22 | |
| 10 | 2021 | 21 | |
| 11 | 2017 | 21 | |
| 12 | 2015 | 21 | |
| 13 | 2022 | 20 | |
| 14 | 2018 | 19 | |
| 15 | 2013 | 14 | |
| 16 | 2014 | 14 | |
| 17 | 2018 | 13 | |
| 18 | 2014 | 12 | |
| 19 | 2019 | 12 | |
| 20 | 2019 | 11 |
About Jun‐Xue Jin
Jun‐Xue Jin is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Surgery, Genetics and Reproductive Medicine, having authored 39 papers that have together received 681 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (21 papers), Pluripotent Stem Cells Research (13 papers), CRISPR and Genetic Engineering (12 papers), Animal Genetics and Reproduction (6 papers), Ovarian function and disorders (5 papers), Renal and related cancers (5 papers), Sperm and Testicular Function (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Reproductive Medicine (148 citations), Aging (32 citations), Public Health, Environmental and Occupational Health (381 citations), Endocrine and Autonomic Systems (71 citations) and Molecular Biology (356 citations). Jun‐Xue Jin has collaborated with scholars based in China, South Korea and Ethiopia. Frequent co-authors include Sanghoon Lee, Byeong Chun Lee, Geon A Kim, Anukul Taweechaipaisankul, Curie Ahn, Liu Z, Chang−Guo Yan, Suo Li, Jin‐Dan Kang and Ah‐Young Oh. Their work appears in journals such as Theriogenology, Antioxidants, Journal of Veterinary Science, Journal of Cellular Physiology and Biochemical and Biophysical Research Communications.
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.