Yao‐Feng Li

583 citations
45 papers · 390 · h-index 12

Impact in

    • Glioma Diagnosis and Treatment
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

Yao‐Feng Li

42 papers receiving 386 citations

Peers

Yao‐Feng Li
Comparison fields: 5 of 85
  • Genetics 35
  • Cancer Research 49
  • Molecular Biology 141
  • Neurology 16
  • Oncology 50
Replace Junlan Zhou with:
Junlan Zhou China
Agne Frismantiene Switzerland
Jae‐Yong Nam South Korea
Rei Nakano Japan
Young‐Dae Kim South Korea
Esther López-Rivera United States
Émilie Heckel Canada
Sribalaji Lakshmikanthan United States
Marie‐Pier Thibault Canada
Yao‐Feng Li relative to Junlan Zhou China Junlan Zhou's profile →
Citations per field
00.5×2.5×
Junlan Zhou · 1×
Citations per year

Countries citing papers authored by Yao‐Feng Li

Since Specialization
Citations

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

Fields of papers citing papers by Yao‐Feng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yao‐Feng 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 Yao‐Feng Li Line = papers co-authored together Yao‐Feng 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 201536
2 202233
3 202227
4 202125
5 201723
6 201520
7 202017
8 202114
9 201214
10 202312
11 201512
12 202111
13 202311
14 202110
15 201010
16 20119
17 20218
18 20218
19 20168
20 20237

About Yao‐Feng Li

Yao‐Feng Li is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Molecular Biology, Oncology and Surgery, having authored 45 papers that have together received 390 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (6 papers), Cancer-related molecular mechanisms research (4 papers), MicroRNA in disease regulation (4 papers), RNA Research and Splicing (3 papers), Sarcoma Diagnosis and Treatment (3 papers), Ferroptosis and cancer prognosis (3 papers), Urologic and reproductive health conditions (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). The work is most often cited by research in Genetics (35 citations), Cancer Research (49 citations), Molecular Biology (141 citations), Neurology (16 citations) and Oncology (50 citations). Yao‐Feng Li has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Dueng‐Yuan Hueng, Li‐Chun Huang, Shih‐Ming Huang, Wen‐Chiuan Tsai, Chia‐Kuang Tsai, Chung-Hsing Chou, Chin Lin, Hsuan‐Yu Chen, Linmin Pei and Tsu‐Chung Chang. Their work appears in journals such as International Journal of Molecular Sciences, Cancer Cell International, Annals of Oncology, The Spine Journal and Scientific Reports.

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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