Jun Xing
Impact in
- Reproductive Medicine top 5%
- Endometriosis Research and Treatment
- Sperm and Testicular Function
- Obstetrics and Gynecology top 10%
- Uterine Myomas and Treatments
Papers in
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- RNA Interference and Gene Delivery 2
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- Ovarian function and disorders 3
- Sperm and Testicular Function 3
- Endometriosis Research and Treatment 2
- Co-authors
- Haixiang Sun (8 shared papers)Guijun Yan (5 shared papers)Przemyslaw Bozko (6 shared papers)Zuomin Zhou (5 shared papers)Ruben R. Plentz (7 shared papers)Jiahao Sha (4 shared papers)Ruiwei Jiang (3 shared papers)Junxia Wang (2 shared papers)
In The Last Decade
Jun Xing
53 papers receiving 611 citations
Peers
Comparison fields: 5 of 84
- Reproductive Medicine 161
- Obstetrics and Gynecology 58
- Immunology 117
- Cancer Research 74
- Oncology 68
Countries citing papers authored by Jun Xing
This map shows the geographic impact of Jun Xing'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 Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Xing more than expected).
Fields of papers citing papers by Jun Xing
This network shows the impact of papers produced by Jun Xing. 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 Xing. The network helps show where Jun Xing may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Xing, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 65 | |
| 2 | 2019 | 64 | |
| 3 | 2020 | 45 | |
| 4 | 2018 | 44 | |
| 5 | 2020 | 27 | |
| 6 | 2017 | 27 | |
| 7 | 2015 | 27 | |
| 8 | 2017 | 24 | |
| 9 | 2008 | 22 | |
| 10 | 2024 | 19 | |
| 11 | 2011 | 17 | |
| 12 | 2023 | 15 | |
| 13 | 2011 | 15 | |
| 14 | 2021 | 15 | |
| 15 | 2020 | 13 | |
| 16 | 2020 | 13 | |
| 17 | 2015 | 12 | |
| 18 | 2006 | 11 | |
| 19 | 2016 | 11 | |
| 20 | 2023 | 10 |
About Jun Xing
Jun Xing is a scholar working on Molecular Biology, Reproductive Medicine, Cancer Research, Surgery and Public Health, Environmental and Occupational Health, having authored 61 papers that have together received 616 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (5 papers), Reproductive System and Pregnancy (3 papers), Advanced Radiotherapy Techniques (3 papers), Ovarian function and disorders (3 papers), Sperm and Testicular Function (3 papers), Endometriosis Research and Treatment (2 papers), RNA Interference and Gene Delivery (2 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Reproductive Medicine (161 citations), Obstetrics and Gynecology (58 citations), Immunology (117 citations), Cancer Research (74 citations) and Oncology (68 citations). Jun Xing has collaborated with scholars based in China, Germany and Vietnam. Frequent co-authors include Haixiang Sun, Guijun Yan, Przemyslaw Bozko, Zuomin Zhou, Ruben R. Plentz, Jiahao Sha, Ruiwei Jiang, Junxia Wang, Jianjun Zhou and Min Lin. Their work appears in journals such as Cancer Research, Reproductive Biology and Endocrinology, Polymers, Experimental Cell Research and OncoTargets and Therapy.
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.