Feng Yao

10.2k citations
277 papers · 7.4k indexed · h-index 45

Impact in

    • Wound Healing and Treatments
  • Pollution top 1%
    • Pharmaceutical and Antibiotic Environmental Impacts

Papers in

Feng Yao

269 papers receiving 7.3k citations

Peers

Feng Yao
Comparison fields: 5 of 162
  • Rehabilitation 685
  • Pollution 832
  • Cancer Research 972
  • Immunology 934
  • Molecular Biology 2.6k
Replace Jun Yuan with:
Jun Yuan China
Wei Ge China
David W. M. Leung New Zealand
Junping Wang China
Fang Wang China
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Tracey A. Martin United Kingdom
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Citations per field
00.5×9.1×
Jun Yuan · 1×
Citations per year

Countries citing papers authored by Feng Yao

Since Specialization
Citations

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

Fields of papers citing papers by Feng Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20243
4 20242
5 20233
6 20238
7 2022110
8 202143
9 202147
10 202128
11 202036
12 202029
13 202014
14 202019
15 201977
16 201933
17 201414
18
三級ブチルヒドロキノンは,THP-1マクロファージ由来泡沫細胞における核内因子E2関連因子2/ヘムオキシゲナーゼ-1情報伝達を介して,ATP結合カセット輸送体AIの発現を上方調節する
20139
19
Effects of stocking density on nitrogen and energy budget of gibel carp
20091
20
Cloning and Sequence Analysis of SDF-1α Gene in Rats
20081

About Feng Yao

Feng Yao is a scholar working on Rehabilitation, Geriatrics and Gerontology, Pollution, Cancer Research and Virology, having authored 277 papers that have together received 7.4k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (34 papers), Virus-based gene therapy research (27 papers), Pharmaceutical and Antibiotic Environmental Impacts (24 papers), Wound Healing and Treatments (21 papers), Herpesvirus Infections and Treatments (18 papers), Lung Cancer Treatments and Mutations (17 papers), Tracheal and airway disorders (14 papers) and Cholesterol and Lipid Metabolism (14 papers). The work is most often cited by research in Rehabilitation (685 citations), Pollution (832 citations), Cancer Research (972 citations), Immunology (934 citations) and Molecular Biology (2.6k citations). Feng Yao has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Elof Eriksson, Zhaojun Li, Yuanwang Liu, Jianming Xue, Dengmiao Cheng, Tor Svensjö, Chenxi Zhong, Haitang Yang, Richard J. Courtney and Priscilla A. Schaffer. Their work appears in journals such as Tumor Biology, Journal of Integrative Agriculture, Translational Lung Cancer Research, Journal of Virology and The Annals of Thoracic Surgery.

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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