Run Li

870 citations
45 papers · 546 · h-index 12

Impact in

Papers in

    • Transplantation: Methods and Outcomes 5
    • Gestational Diabetes Research and Management 7
    • Pregnancy and preeclampsia studies 5

Run Li

43 papers receiving 535 citations

Peers

Run Li
Comparison fields: 5 of 123
  • Sensory Systems 41
  • Obstetrics and Gynecology 57
  • Transplantation 16
  • Complementary and alternative medicine 40
  • Neurology 39
Replace Fadia Mahmoud with:
Fadia Mahmoud Kuwait
Paulo Roberto Leitão de Vasconcelos Brazil
Fang Zhong China
Tiago H. Zaninelli Brazil
Qing Wu China
Sonia Schiavon Italy
Nishant Sharma United States
Hiroyasu Nakamura Japan
Prasenjit Prasad Saha United States
Salim M. A. Bastaki United Arab Emirates
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Citations per field
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Fadia Mahmoud · 1×
Citations per year

Countries citing papers authored by Run Li

Since Specialization
Citations

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

Fields of papers citing papers by Run Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020124
2 201945
3 202338
4 202038
5 201931
6 202129
7 202319
8 202318
9 201917
10 202014
11 202312
12 202112
13 202210
14 20209
15
[Evaluation of the dietary quality by diet balance index for pregnancy among pregnant women].
20169
16 20218
17 20138
18 20237
19 20237
20 20237

About Run Li

Run Li is a scholar working on Surgery, Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Ecology and Oncology, having authored 45 papers that have together received 546 indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (7 papers), Transplantation: Methods and Outcomes (5 papers), Pregnancy and preeclampsia studies (5 papers), Birth, Development, and Health (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Physiological and biochemical adaptations (2 papers), Viral-associated cancers and disorders (2 papers) and Shoulder and Clavicle Injuries (2 papers). The work is most often cited by research in Sensory Systems (41 citations), Obstetrics and Gynecology (57 citations), Transplantation (16 citations), Complementary and alternative medicine (40 citations) and Neurology (39 citations). Run Li has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Yong Cao, Junqing Huang, Yaqi Lan, Jie Xiao, Chi‐Tang Ho, Chengyu Chen, Qingrong Huang, Muwen Lu, Qinglong Ai and Di Lü. Their work appears in journals such as Food & Function, BMC Pregnancy and Childbirth, Computers in Biology and Medicine, Animals and ACS Biomaterials Science & Engineering.

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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