Feng Gao

4.7k citations
192 papers · 2.0k · h-index 22

Impact in

Papers in

Feng Gao

173 papers receiving 2.0k citations

Peers

Feng Gao
Comparison fields: 5 of 98
  • Epidemiology 942
  • Pulmonary and Respiratory Medicine 830
  • Internal Medicine 75
  • Neurology 278
  • Rehabilitation 73
Replace Panagiotis Papanagiotou with:
Panagiotis Papanagiotou Germany
Liqun Jiao China
Dapeng Mo China
U. Grzyska Germany
Jong‐Won Chung South Korea
Thomas Pfefferkorn Germany
Rohan Chitale United States
Hannes Deutschmann Austria
John Thornton Ireland
P Adeleine France
Feng Gao relative to Panagiotis Papanagiotou Germany Panagiotis Papanagiotou's profile →
Citations per field
00.5×
Panagiotis Papanagiotou · 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 192 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017115
2 201368
3 201167
4 202163
5 201559
6 201553
7 201753
8 201450
9 202042
10 201839
11 201639
12 201638
13 202026
14 201626
15 202125
16 201523
17 201823
18 201623
19 201923
20 201922

About Feng Gao

Feng Gao is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Neurology, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 192 papers that have together received 2.0k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (76 papers), Cerebrovascular and Carotid Artery Diseases (53 papers), Intracranial Aneurysms: Treatment and Complications (14 papers), Lung Cancer Diagnosis and Treatment (5 papers), Stroke Rehabilitation and Recovery (5 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Venous Thromboembolism Diagnosis and Management (4 papers) and Moyamoya disease diagnosis and treatment (4 papers). The work is most often cited by research in Epidemiology (942 citations), Pulmonary and Respiratory Medicine (830 citations), Internal Medicine (75 citations), Neurology (278 citations) and Rehabilitation (73 citations). Feng Gao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ning Ma, Dapeng Mo, Xuan Sun, Zhongrong Miao, Xiaochuan Huo, Baixue Jia, Zhongrong Miao, Xu Tong, Ming Li and Ligang Song. Their work appears in journals such as Frontiers in Neurology, Journal of NeuroInterventional Surgery, Stroke and Vascular Neurology, Clinical Neurology and Neurosurgery and Medicine.

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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