Jun Shao

2.7k citations
84 papers · 2.1k · h-index 25

Impact in

Papers in

    • Reproductive System and Pregnancy 25
    • Lipid Membrane Structure and Behavior 4
    • RNA modifications and cancer 4

Jun Shao

82 papers receiving 2.0k citations

Peers

Jun Shao
Comparison fields: 5 of 130
  • Reproductive Medicine 547
  • Obstetrics and Gynecology 354
  • Immunology 611
  • Biomaterials 107
  • Endocrine and Autonomic Systems 50
Replace Yao‐Ching Hung with:
Yao‐Ching Hung Taiwan
Luiz Eurico Nasciutti Brazil
Xiufen Chen China
Wei-Chun Chang Taiwan
Tianmin Xu China
Riccardo Vago Italy
Ki Hyung Kim South Korea
Feng Kong China
Mohamed F. Elshal Egypt
Weidong Fei China
Jun Shao relative to Yao‐Ching Hung Taiwan Yao‐Ching Hung's profile →
Citations per field
00.5×6.3×
Yao‐Ching Hung · 1×
Citations per year

Countries citing papers authored by Jun Shao

Since Specialization
Citations

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

Fields of papers citing papers by Jun Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003323
2 2019142
3 2017116
4 2018102
5 201678
6
Anticancer activities of Oldenlandia diffusa.
200469
7 202364
8 200461
9 201454
10 201648
11 201246
12 201643
13 201343
14 201842
15 201742
16 201038
17 202235
18
IL-22 in the endometriotic milieu promotes the proliferation of endometrial stromal cells via stimulating the secretion of CCL2 and IL-8.
201334
19 201933
20 201633

About Jun Shao

Jun Shao is a scholar working on Immunology, Molecular Biology, Obstetrics and Gynecology, Reproductive Medicine and Cancer Research, having authored 84 papers that have together received 2.1k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (25 papers), Endometriosis Research and Treatment (13 papers), Pregnancy and preeclampsia studies (8 papers), Endometrial and Cervical Cancer Treatments (4 papers), Lipid Membrane Structure and Behavior (4 papers), Probiotics and Fermented Foods (4 papers), Neonatal Respiratory Health Research (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Reproductive Medicine (547 citations), Obstetrics and Gynecology (354 citations), Immunology (611 citations), Biomaterials (107 citations) and Endocrine and Autonomic Systems (50 citations). Jun Shao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ming‐Qing Li, Vishal Saxena, Mostafa Sadoqi, Kai‐Kai Chang, Da‐Jin Li, Hui‐Li Yang, Wen‐Jie Zhou, Jie Mei, Jizu Yi and Xiao‐Yong Zhu. Their work appears in journals such as American Journal of Reproductive Immunology, Journal of Pharmaceutical Sciences, Drug Delivery, Reproduction and Acta Oto-Laryngologica.

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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