Jun Lei

752 citations
37 papers · 434 · h-index 12

Impact in

Papers in

Jun Lei

35 papers receiving 420 citations

Peers

Jun Lei
Comparison fields: 5 of 65
  • Public Health, Environmental and Occupational Health 178
  • Obstetrics and Gynecology 44
  • Reproductive Medicine 45
  • Clinical Psychology 59
  • Pharmacy 9
Replace Drahoslava Hrubá with:
Drahoslava Hrubá Czechia
Luisa María Sánchez-Zamorano Mexico
Farzaneh Zaheri Iran
Roghaiyeh Nourizadeh Iran
Kelly L. Strutz United States
Ensieh Fooladi Australia
Grażyna Jarząbek‐Bielecka Poland
Behnaz Enjezab Iran
Mahboubeh Taebi Iran
Füsun Yarış Türkiye
Jun Lei relative to Drahoslava Hrubá Czechia Drahoslava Hrubá's profile →
Citations per field
00.5×20×40×60×83×
Drahoslava Hrubá · 1×
Citations per year

Countries citing papers authored by Jun Lei

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jun Lei Line = papers co-authored together Jun Lei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202056
2 201156
3 202143
4 201435
5 201926
6 201321
7 201520
8 201415
9 201314
10 202314
11 202312
12 202312
13 202211
14 202210
15 201310
16 20209
17
[Study on the value assessment of various screening programs regarding cervical cancer screening strategy in the rural areas of China].
20078
18 20248
19 20237
20 20167

About Jun Lei

Jun Lei is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine, Surgery, Clinical Psychology and Pediatrics, Perinatology and Child Health, having authored 37 papers that have together received 434 indexed citations. Recurring topics across this work include Maternal Mental Health During Pregnancy and Postpartum (13 papers), Reproductive Health and Technologies (6 papers), Ovarian function and disorders (5 papers), Esophageal Cancer Research and Treatment (4 papers), Assisted Reproductive Technology and Twin Pregnancy (2 papers), Folate and B Vitamins Research (1 paper), Attachment and Relationship Dynamics (1 paper) and Obesity, Physical Activity, Diet (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (178 citations), Obstetrics and Gynecology (44 citations), Reproductive Medicine (45 citations), Clinical Psychology (59 citations) and Pharmacy (9 citations). Jun Lei has collaborated with scholars based in China, Australia and Canada. Frequent co-authors include Shi Wu Wen, Guangpeng Wang, Fenglian Xu, Li Tang, Chunli Yan, Colin Binns, Taotao Zhang, Leshan Zhou, Mark Walker and Shuhong Wang. Their work appears in journals such as Journal of Affective Disorders, International Journal of Gynecology & Obstetrics, Frontiers in Cellular and Infection Microbiology, Midwifery and Archives of Women s Mental Health.

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.

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