Feng Gao

8.1k citations
170 papers · 5.9k · 3 hit papers · h-index 33

Impact in

Papers in

Feng Gao

168 papers receiving 5.8k citations

Feng Gao's Hit Papers

Drug-induced oxidative stress in cancer treatments: Angel or devil? 2023 · 122 citations
1220+2+4Years since publication50010001.5k

Peers

Feng Gao
Comparison fields: 5 of 159
  • Cancer Research 1.5k
  • Pulmonary and Respiratory Medicine 1.6k
  • Neurology 358
  • Molecular Biology 2.6k
  • Hepatology 292
Replace Yuqing Huo with:
Yuqing Huo United States
Tobias Eckle United States
Darren J. Kelly Australia
Jean‐Sébastien Silvestre France
Takao Masaki Japan
Chantal Dessy Belgium
Julie Chao United States
Andrew C. Newby United Kingdom
Ichiro Shiojima Japan
Yoshihiro Fukumoto Japan
Feng Gao relative to Yuqing Huo United States Yuqing Huo's profile →
Citations per field
00.5×1.5×2.1×
Yuqing Huo · 1×
Citations per year

Countries citing papers authored by Feng Gao

Since Specialization
Citations

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

Fields of papers citing papers by Feng Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 170 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Ferroptosis as a target for protection against cardiomyopathy
Hit paper breakdown →
20191607
2
Loss of Cardiac Ferritin H Facilitates Cardiomyopathy via Slc7a11-Mediated Ferroptosis
Hit paper breakdown →
2020569
3 2019212
4 2015196
5 2019149
6
Drug-induced oxidative stress in cancer treatments: Angel or devil?
Hit paper breakdown →
2023122
7 2017118
8 2018113
9 201795
10 201092
11 201886
12 201781
13 201378
14 200977
15
Cystic acoustic schwannomas: MR characteristics.
199377
16 201370
17 201263
18 201962
19 201953
20 201552

About Feng Gao

Feng Gao is a scholar working on Molecular Biology, Epidemiology, Pathology and Forensic Medicine, Neurology and Surgery, having authored 170 papers that have together received 5.9k indexed citations. Recurring topics across this work include Spinal Cord Injury Research (30 papers), Intracerebral and Subarachnoid Hemorrhage Research (22 papers), Acute Ischemic Stroke Management (14 papers), Neurosurgical Procedures and Complications (13 papers), Cancer-related molecular mechanisms research (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Cardiac Valve Diseases and Treatments (10 papers) and Neuroscience and Neuropharmacology Research (9 papers). The work is most often cited by research in Cancer Research (1.5k citations), Pulmonary and Respiratory Medicine (1.6k citations), Neurology (358 citations), Molecular Biology (2.6k citations) and Hepatology (292 citations). Feng Gao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jinghai Chen, Hao Wang, Junxia Min, Fudi Wang, Xuexian Fang, Andreas Linkermann, Pan Zhang, Dan Han, Qi Cheng and Huang‐Tian Yang. Their work appears in journals such as CNS Neuroscience & Therapeutics, Frontiers in Neurology, Frontiers in Immunology, Spinal Cord and Journal of Cerebral Blood Flow & Metabolism.

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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