Fei-Fei Gu

523 citations
22 papers · 408 · h-index 15

Impact in

Papers in

Fei-Fei Gu

21 papers receiving 405 citations

Peers

Fei-Fei Gu
Comparison fields: 5 of 51
  • Molecular Medicine 146
  • Endocrinology 73
  • Clinical Biochemistry 64
  • Infectious Diseases 155
  • Applied Microbiology and Biotechnology 16
Replace Tahereh Pirzadeh with:
Tahereh Pirzadeh Iran
Daniel R. Evans United States
Shuzhen Xiao China
Johanna C. Braat Netherlands
Xiangkuo Zheng China
Jae Il Yoo South Korea
Sandra Witteveen Netherlands
Pia Littauer Norway
Akio Kuga Japan
Fereshteh Saffari Iran
Fei-Fei Gu relative to Tahereh Pirzadeh Iran Tahereh Pirzadeh's profile →
Citations per field
00.5×1.6×
Tahereh Pirzadeh · 1×
Citations per year

Countries citing papers authored by Fei-Fei Gu

Since Specialization
Citations

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

Fields of papers citing papers by Fei-Fei Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201666
2 202042
3 201730
4 201729
5 202126
6 201724
7 201522
8 201721
9 201521
10 201521
11 201617
12 202017
13 201516
14 201916
15 201914
16 20168
17 20236
18 20215
19 20235
20 20241

About Fei-Fei Gu

Fei-Fei Gu is a scholar working on Infectious Diseases, Molecular Medicine, Molecular Biology, Clinical Biochemistry and Epidemiology, having authored 22 papers that have together received 408 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (11 papers), Antibiotic Resistance in Bacteria (7 papers), Bacterial Identification and Susceptibility Testing (5 papers), Bacterial biofilms and quorum sensing (4 papers), Bacterial Infections and Vaccines (2 papers), Pneumonia and Respiratory Infections (2 papers), Urinary Tract Infections Management (2 papers) and Marine Sponges and Natural Products (2 papers). The work is most often cited by research in Molecular Medicine (146 citations), Endocrinology (73 citations), Clinical Biochemistry (64 citations), Infectious Diseases (155 citations) and Applied Microbiology and Biotechnology (16 citations). Fei-Fei Gu has collaborated with scholars based in China, Hong Kong and Norway. Frequent co-authors include Lizhong Han, Yuxing Ni, Shuzhen Xiao, Xiaokui Guo, Su Wang, Shengyuan Zhao, Xinxin Li, Qian Zeng, Zhen Song and Jin Tang. Their work appears in journals such as PLoS ONE, Frontiers in Cellular and Infection Microbiology, Frontiers in Microbiology, Scientific Reports and Chemistry & Biodiversity.

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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