Lang Qin

1.2k citations
88 papers · 699 · h-index 14

Impact in

Papers in

Lang Qin

79 papers receiving 688 citations

Peers

Lang Qin
Comparison fields: 5 of 130
  • Reproductive Medicine 221
  • Obstetrics and Gynecology 64
  • Immunology 157
  • Public Health, Environmental and Occupational Health 191
  • Pediatrics, Perinatology and Child Health 88
Replace Pasquale Gallo with:
Pasquale Gallo United Kingdom
Haiyan Zheng China
Valentyna Chopyak Ukraine
Fortunato Vesce Italy
Jung-Chul Kim South Korea
Sunghun Na South Korea
Yujie Zou China
Mengdie Li China
Yuhua Li China
Zi Ye China
Lang Qin relative to Pasquale Gallo United Kingdom Pasquale Gallo's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lang Qin

Since Specialization
Citations

This map shows the geographic impact of Lang Qin'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 Lang Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lang Qin more than expected).

Fields of papers citing papers by Lang Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lang Qin. 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 Lang Qin. The network helps show where Lang Qin may publish in the future.

Co-authors

The 25 scholars most cited alongside Lang Qin, 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 Lang Qin Line = papers co-authored together Lang Qin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201554
2 201949
3 202335
4 201035
5 202129
6 202227
7 202227
8 202126
9 202020
10 201418
11 202316
12 202014
13 202414
14 202013
15 201313
16 201012
17 200912
18 201712
19 201411
20 200711

About Lang Qin

Lang Qin is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine, Immunology, Molecular Biology and Rheumatology, having authored 88 papers that have together received 699 indexed citations. Recurring topics across this work include Ovarian function and disorders (19 papers), Reproductive Biology and Fertility (14 papers), Reproductive System and Pregnancy (13 papers), Cancer-related molecular mechanisms research (6 papers), Systemic Lupus Erythematosus Research (6 papers), Assisted Reproductive Technology and Twin Pregnancy (6 papers), Ovarian cancer diagnosis and treatment (5 papers) and Pregnancy and Medication Impact (5 papers). The work is most often cited by research in Reproductive Medicine (221 citations), Obstetrics and Gynecology (64 citations), Immunology (157 citations), Public Health, Environmental and Occupational Health (191 citations) and Pediatrics, Perinatology and Child Health (88 citations). Lang Qin has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Wenming Xu, Rui Gao, Hanxiao Chen, Shan Luo, Xun Zeng, Shangwei Li, Yaoyao Zhang, Tao Zuo, Shangwei Li and Shangwei Li. Their work appears in journals such as Frontiers in Endocrinology, American Journal of Reproductive Immunology, International Journal of Gynecology & Obstetrics, PLoS ONE and Reproductive Biology and Endocrinology.

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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