Feng Gu

3.0k citations
29 papers · 1.6k · h-index 17

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • Viral Infections and Vectors
    • Viral Infections and Outbreaks Research

Papers in

Feng Gu

27 papers receiving 1.6k citations

Peers

Feng Gu
Comparison fields: 5 of 92
  • Virology 267
  • Infectious Diseases 833
  • Public Health, Environmental and Occupational Health 1.2k
  • Insect Science 146
  • Endocrinology 43
Replace Aruna Sampath with:
Aruna Sampath United States
Qing-Yin Wang Singapore
Min Qing Singapore
Pietro Scaturro Germany
Eliana G. Acosta Germany
Nicholas J. Barrows United States
Arthur S. Kim United States
Kenneth A. Stapleford United States
Hwee Cheng Tan Singapore
Amonrat Jumnainsong Thailand
Feng Gu relative to Aruna Sampath United States Aruna Sampath's profile →
Citations per field
00.5×1.5×
Aruna Sampath · 1×
Citations per year

Countries citing papers authored by Feng Gu

Since Specialization
Citations

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

Fields of papers citing papers by Feng Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010227
2 2009220
3 2007186
4 2009178
5 2006164
6 2011103
7 200685
8 201166
9 201364
10 199252
11 201049
12 201049
13 199548
14 200844
15 201820
16 201720
17 199216
18 202412
19 20059
20 20136

About Feng Gu

Feng Gu is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Virology, Physiology and Epidemiology, having authored 29 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (16 papers), Viral Infections and Vectors (10 papers), HIV Research and Treatment (6 papers), Malaria Research and Control (6 papers), Viral Infections and Outbreaks Research (4 papers), Alzheimer's disease research and treatments (2 papers), Insect symbiosis and bacterial influences (2 papers) and Microbial Metabolites in Food Biotechnology (1 paper). The work is most often cited by research in Virology (267 citations), Infectious Diseases (833 citations), Public Health, Environmental and Occupational Health (1.2k citations), Insect Science (146 citations) and Endocrinology (43 citations). Feng Gu has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Subhash G. Vasudevan, Pei‐Yong Shi, Wouter Schul, Joshua Fink, Indira Umareddy, Yen‐Liang Chen, Siew Pheng Lim, Aruna Sampath, Alex Chao and Mee Kian Poh. Their work appears in journals such as Antiviral Research, Journal of General Virology, PLoS ONE, Experimental Neurology and Bioorganic & Medicinal Chemistry Letters.

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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