Yi Feng

6.0k citations
179 papers · 4.2k · 1 hit paper · h-index 35

Impact in

Papers in

Yi Feng

171 papers receiving 4.2k citations

Hit Papers

The ACE2 expression in human heart indicates new potential mechanism of heart injury among patients infected with SARS-CoV-2 2020 · 807 citations
8070+2+4Years since publication250500750

Peers

Yi Feng
Comparison fields: 5 of 149
  • Reproductive Medicine 826
  • Infectious Diseases 687
  • Neurology 455
  • Obstetrics and Gynecology 234
  • Neurology 242
Replace Eva Jennische with:
Eva Jennische Sweden
Liping Zhao China
Jin Yu China
Yongmei Chen China
Duraisamy Kempuraj United States
Burkhard Kleuser Germany
Wei‐Chiao Chang Taiwan
Seyed Mohammad Tavangar Iran
Jian‐Yuan Zhao China
Marina Di Domenico Italy
Yi Feng relative to Eva Jennische Sweden Eva Jennische's profile →
Citations per field
00.5×4.0×
Eva Jennische · 1×
Citations per year

Countries citing papers authored by Yi Feng

Since Specialization
Citations

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

Fields of papers citing papers by Yi Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 179 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The ACE2 expression in human heart indicates new potential mechanism of heart injury among patients infected with SARS-CoV-2
Hit paper breakdown →
2020807
2 2018187
3 2020133
4 2014100
5 201595
6 201793
7 201785
8 201978
9 200970
10 201068
11 201362
12 201055
13 202055
14 201454
15 201353
16 200952
17 201452
18
Reversing the reduced level of endometrial GLUT4 expression in polycystic ovary syndrome: a mechanistic study of metformin action.
201552
19
The elusive and controversial roles of estrogen and progesterone receptors in human endometriosis.
201450
20 202149

About Yi Feng

Yi Feng is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Molecular Biology, Complementary and alternative medicine and Immunology, having authored 179 papers that have together received 4.2k indexed citations. Recurring topics across this work include Ovarian function and disorders (29 papers), Reproductive Biology and Fertility (20 papers), Reproductive System and Pregnancy (13 papers), Acupuncture Treatment Research Studies (13 papers), Endometriosis Research and Treatment (10 papers), Hypothalamic control of reproductive hormones (10 papers), Lanthanide and Transition Metal Complexes (8 papers) and MRI in cancer diagnosis (7 papers). The work is most often cited by research in Reproductive Medicine (826 citations), Infectious Diseases (687 citations), Neurology (455 citations), Obstetrics and Gynecology (234 citations) and Neurology (242 citations). Yi Feng has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Chenglong Xiong, Liang Chen, Mingquan Chen, Xiangjie Li, Ruijin Shao, Håkan Billig, Zheng‐Rong Lu, Aaron J.W. Hsueh, Elisabet Stener‐Victorin and Peng Cui. Their work appears in journals such as Pharmaceutical Research, Scientific Reports, Journal of Visualized Experiments, Molecular Neurobiology and Journal of Clinical Oncology.

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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