Yaping He

1.1k citations
57 papers · 915 · h-index 15

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Physiology top 10%
    • Alzheimer's disease research and treatments

Papers in

Yaping He

56 papers receiving 899 citations

Peers

Yaping He
Comparison fields: 5 of 99
  • Cancer Research 143
  • Physiology 232
  • Neurology 73
  • Obstetrics and Gynecology 69
  • Reproductive Medicine 66
Replace Ofra Golani with:
Ofra Golani Israel
Christopher Albanese United States
Suresh Selvaraj India
A. Michel Belgium
Changsheng Du China
Inmaculada Monleón Spain
Rūta Navakauskienė Lithuania
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Yaping He relative to Ofra Golani Israel Ofra Golani's profile →
Citations per field
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Ofra Golani · 1×
Citations per year

Countries citing papers authored by Yaping He

Since Specialization
Citations

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

Fields of papers citing papers by Yaping He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991148
2 202072
3 201766
4 201862
5 202359
6 199750
7 199330
8 201425
9 201725
10 201524
11 199323
12 202220
13 201719
14 201316
15 200914
16 201614
17 201914
18 201612
19 201712
20 201112

About Yaping He

Yaping He is a scholar working on Immunology, Molecular Biology, Obstetrics and Gynecology, Public Health, Environmental and Occupational Health and Genetics, having authored 57 papers that have together received 915 indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (19 papers), Pregnancy and preeclampsia studies (9 papers), Endometriosis Research and Treatment (6 papers), Alzheimer's disease research and treatments (5 papers), Immunotherapy and Immune Responses (5 papers), Estrogen and related hormone effects (5 papers), MicroRNA in disease regulation (5 papers) and Reproductive Biology and Fertility (5 papers). The work is most often cited by research in Cancer Research (143 citations), Physiology (232 citations), Neurology (73 citations), Obstetrics and Gynecology (69 citations) and Reproductive Medicine (66 citations). Yaping He has collaborated with scholars based in China, France and United Kingdom. Frequent co-authors include Charles Duyckaerts, F. Piette, J.‐J. Hauw, Dandan Li, Li Wu, Jiwen Zhang, Laurence H. Patterson, Liping Sun, Le‐Hang Guo and Zhaogui Sun. Their work appears in journals such as Reproductive Sciences, Scientific Reports, Acta Neuropathologica, Gynecologic and Obstetric Investigation and Advanced Functional Materials.

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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