Libing Shi

1.0k citations
31 papers · 745 · h-index 14

Impact in

Papers in

Libing Shi

29 papers receiving 738 citations

Peers

Libing Shi
Comparison fields: 5 of 82
  • Reproductive Medicine 301
  • Obstetrics and Gynecology 251
  • Immunology 198
  • Genetics 81
  • Public Health, Environmental and Occupational Health 149
Replace Ramyar Azizi with:
Ramyar Azizi Iran
Hortensia Ferrero Spain
Tsung‐Hsuan Lai Taiwan
Gregor Weiss Austria
Ming Yuan China
Ji Yeon Ahn South Korea
Nae‐Fang Twu Taiwan
Pei-Chin Chuang Taiwan
Yongli Chu China
Monika Siwetz Austria
Libing Shi relative to Ramyar Azizi Iran Ramyar Azizi's profile →
Citations per field
00.5×9.5×
Ramyar Azizi · 1×
Citations per year

Countries citing papers authored by Libing Shi

Since Specialization
Citations

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

Fields of papers citing papers by Libing Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019134
2 201792
3 201978
4 202159
5 201846
6 202044
7 201832
8 202129
9 201529
10 201725
11 202325
12 201422
13 201920
14 201419
15 202111
16 202211
17 201711
18 201810
19 202210
20 20247

About Libing Shi

Libing Shi is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Molecular Biology, Public Health, Environmental and Occupational Health and Immunology, having authored 31 papers that have together received 745 indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (12 papers), Uterine Myomas and Treatments (7 papers), Reproductive System and Pregnancy (5 papers), Endometrial and Cervical Cancer Treatments (4 papers), Gynecological conditions and treatments (4 papers), Reproductive Biology and Fertility (3 papers), Mesenchymal stem cell research (2 papers) and Kruppel-like factors research (2 papers). The work is most often cited by research in Reproductive Medicine (301 citations), Obstetrics and Gynecology (251 citations), Immunology (198 citations), Genetics (81 citations) and Public Health, Environmental and Occupational Health (149 citations). Libing Shi has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Songying Zhang, Feng Zhou, Yibin Pan, Xiaona Lin, Yongdong Dai, Yinli Zhang, Liaobing Xin, Wenzhi Xu, Xiang Lin and Yanling Zhang. Their work appears in journals such as Cell Death and Disease, Stem Cells Translational Medicine, European Journal of Cancer, The Journal of Maternal-Fetal & Neonatal Medicine and The Journal of Pathology.

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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