Jun Lei
Impact in
- Obstetrics and Gynecology top 10%
- Maternal and Perinatal Health Interventions
- Pregnancy and preeclampsia studies
- Gestational Diabetes Research and Management
- Reproductive Medicine top 10%
- Reproductive Health and Technologies
Papers in
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- Pregnancy and preeclampsia studies 4
- Gestational Diabetes Research and Management 2
- Maternal and Perinatal Health Interventions 2
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- Ginseng Biological Effects and Applications 2
- Co-authors
- Xin Huang (7 shared papers)Hongzhuan Tan (4 shared papers)Xin Huang (1 shared paper)Bing Fu (1 shared paper)Li Cheng (1 shared paper)Jia Zhou (2 shared papers)Mark Walker (2 shared papers)Shi Wu Wen (1 shared paper)
In The Last Decade
Jun Lei
24 papers receiving 310 citations
Peers
Comparison fields: 5 of 74
- Obstetrics and Gynecology 85
- Reproductive Medicine 84
- Pediatrics, Perinatology and Child Health 119
- Demography 43
- Clinical Psychology 41
Countries citing papers authored by Jun Lei
This map shows the geographic impact of Jun Lei'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 Lei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Lei more than expected).
Fields of papers citing papers by Jun Lei
This network shows the impact of papers produced by Jun Lei. 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 Lei. The network helps show where Jun Lei may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Lei, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 82 | |
| 2 | 2011 | 40 | |
| 3 | 2015 | 37 | |
| 4 | 2018 | 24 | |
| 5 | 2016 | 24 | |
| 6 | 2019 | 19 | |
| 7 | 2021 | 17 | |
| 8 | 2022 | 15 | |
| 9 | 2020 | 12 | |
| 10 | 2019 | 11 | |
| 11 | 2023 | 6 | |
| 12 | 2019 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2025 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2012 | 3 | |
| 17 | 2022 | 3 | |
| 18 | [Bladder outlet obstruction index alone is not reliable for the diagnosis of benign prostate hyperplasia]. | 2020 | 2 |
| 19 | 2024 | 1 | |
| 20 | 2025 | 1 |
About Jun Lei
Jun Lei is a scholar working on Obstetrics and Gynecology, Molecular Biology, Pediatrics, Perinatology and Child Health, Surgery and Clinical Psychology, having authored 28 papers that have together received 317 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (4 papers), Plant Molecular Biology Research (2 papers), Ginseng Biological Effects and Applications (2 papers), Plant Stress Responses and Tolerance (2 papers), Diet and metabolism studies (2 papers), Gestational Diabetes Research and Management (2 papers), Birth, Development, and Health (2 papers) and Maternal and Perinatal Health Interventions (2 papers). The work is most often cited by research in Obstetrics and Gynecology (85 citations), Reproductive Medicine (84 citations), Pediatrics, Perinatology and Child Health (119 citations), Demography (43 citations) and Clinical Psychology (41 citations). Jun Lei has collaborated with scholars based in China, Canada and Australia. Frequent co-authors include Xin Huang, Hongzhuan Tan, Xin Huang, Bing Fu, Li Cheng, Jia Zhou, Mark Walker, Shi Wu Wen, Dapeng Wang and Ming Cai. Their work appears in journals such as BMC Pregnancy and Childbirth, Journal of Psychosomatic Obstetrics & Gynecology, Psycho-Oncology, Journal of Clinical Medicine and Frontiers in Psychology.
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.