Jun Lei

724 citations
37 papers · 416 · h-index 11

Impact in

Papers in

Jun Lei

34 papers receiving 404 citations

Peers

Jun Lei
Comparison fields: 5 of 72
  • Obstetrics and Gynecology 89
  • Public Health, Environmental and Occupational Health 229
  • Clinical Psychology 131
  • Reproductive Medicine 48
  • Pediatrics, Perinatology and Child Health 78
Replace Agnieszka Bień with:
Agnieszka Bień Poland
Grażyna Iwanowicz-Palus Poland
Farzaneh Soltani Iran
Farzaneh Zaheri Iran
Ahsen Şirin Türkiye
Rosheen Grady Canada
Padaphet Sayakhot Australia
Anna Berglund Sweden
Jo Rayner Australia
Gülbahtiyar Demirel Türkiye
Jun Lei relative to Agnieszka Bień Poland Agnieszka Bień's profile →
Citations per field
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Agnieszka Bień · 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 201155
2 202054
3 202140
4 201433
5 201922
6 201321
7 201519
8 201415
9 201314
10 202312
11 202312
12 202210
13 202210
14 20239
15 20209
16 20238
17 20248
18 20138
19
[Study on the value assessment of various screening programs regarding cervical cancer screening strategy in the rural areas of China].
20078
20 20237

About Jun Lei

Jun Lei is a scholar working on Public Health, Environmental and Occupational Health, Clinical Psychology, Reproductive Medicine, Pediatrics, Perinatology and Child Health and Surgery, having authored 37 papers that have together received 416 indexed citations. Recurring topics across this work include Maternal Mental Health During Pregnancy and Postpartum (14 papers), Child and Adolescent Psychosocial and Emotional Development (8 papers), Reproductive Health and Technologies (6 papers), Esophageal Cancer Research and Treatment (5 papers), Ovarian function and disorders (5 papers), Nutritional Studies and Diet (4 papers), Maternal and Perinatal Health Interventions (4 papers) and Attachment and Relationship Dynamics (3 papers). The work is most often cited by research in Obstetrics and Gynecology (89 citations), Public Health, Environmental and Occupational Health (229 citations), Clinical Psychology (131 citations), Reproductive Medicine (48 citations) and Pediatrics, Perinatology and Child Health (78 citations). Jun Lei has collaborated with scholars based in China, Australia and Canada. Frequent co-authors include Shi Wu Wen, Guangpeng Wang, Fenglian Xu, Colin Binns, Li Tang, Ri‐hua Xie, Haiyan Xie, Ying Hu, Mark Walker and Taotao Zhang. Their work appears in journals such as Journal of Affective Disorders, Archives of Women s Mental Health, Midwifery, Frontiers in Cellular and Infection Microbiology and Journal of Psychosomatic Obstetrics & Gynecology.

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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