Jun Lin

1.7k citations
68 papers · 1.3k indexed · h-index 23

Impact in

Papers in

Jun Lin

67 papers receiving 1.2k citations

Peers

Jun Lin
Comparison fields: 5 of 85
  • Reproductive Medicine 777
  • Obstetrics and Gynecology 693
  • Immunology 474
  • Cancer Research 124
  • Public Health, Environmental and Occupational Health 182
Replace Zainab Basir with:
Zainab Basir United States
Saïd Talbi United States
Souichi Yoshida Japan
Krzysztof Szyłło Poland
Katsuji Kokawa Japan
Tomoko Saito‐Fujita Japan
I. Ryan United States
Juliana Meola Brazil
Brianna Cloke United Kingdom
D Licence United Kingdom
Jun Lin relative to Zainab Basir United States Zainab Basir's profile →
Citations per field
00.5×1.5×2.1×
Zainab Basir · 1×
Citations per year

Countries citing papers authored by Jun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20243
4 20234
5 202019
6 201913
7 201919
8
Dose-response associations of methicillin-resistant Staphylococcus aureus between school environmental contamination and nasal carriage by elementary students
20180
9 201824
10 201718
11
Synergistic roles of p53 and HIF1α in human renal cell carcinoma-cell apoptosis responding to the inhibition of mTOR and MDM2 signaling pathways
20162
12 201623
13 201631
14 20137
15 201219
16 200975
17 200872
18 200828
19 20057
20 19987

About Jun Lin

Jun Lin is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Immunology, Cancer Research and Genetics, having authored 68 papers that have together received 1.3k indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (45 papers), Uterine Myomas and Treatments (28 papers), Reproductive System and Pregnancy (20 papers), Endometrial and Cervical Cancer Treatments (13 papers), Gynecological conditions and treatments (9 papers), Protein Tyrosine Phosphatases (4 papers), Estrogen and related hormone effects (4 papers) and Maternal and fetal healthcare (3 papers). The work is most often cited by research in Reproductive Medicine (777 citations), Obstetrics and Gynecology (693 citations), Immunology (474 citations), Cancer Research (124 citations) and Public Health, Environmental and Occupational Health (182 citations). Jun Lin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xinmei Zhang, Kaihong Xu, Junyan Ma, Hong Xu, Caiyun Zhou, Lin Deng, Ruijin Wu, Xiufeng Huang, Hong Zhan and Yuli Qian. Their work appears in journals such as Fertility and Sterility, Reproductive Sciences, Acta Histochemica, Archives of Gynecology and Obstetrics and International Journal of Gynecology & Obstetrics.

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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