Feng Gu

5.5k citations
123 papers · 4.0k indexed · 2 hit papers · h-index 28

Impact in

Papers in

    • CRISPR and Genetic Engineering 34
    • RNA and protein synthesis mechanisms 14
    • Retinal Development and Disorders 13
    • RNA regulation and disease 9
    • Connexins and lens biology 8

Feng Gu

113 papers receiving 3.9k citations

Hit Papers

DeepCRISPR: optimized CRISPR guide RNA design by deep learning 2018 · 356 citations
3562014202620182022100200300

Peers

Feng Gu
Comparison fields: 5 of 121
  • Business and International Management 121
  • Aging 98
  • Endocrinology, Diabetes and Metabolism 831
  • Molecular Biology 2.6k
  • Cell Biology 430
Replace Dangsheng Li with:
Dangsheng Li China
Nikolay Malinin United States
Gregory R. Hoffman United States
Jianping Zhang China
Yuwen Chen China
Mo R. Ebrahimkhani United States
Tengfei Xiao China
Vic E. Myer United States
Weihong Xu United States
Robin Ketteler United Kingdom
Feng Gu relative to Dangsheng Li China Dangsheng Li's profile →
Citations per field
00.5×8.6×
Dangsheng Li · 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-authorship network

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
#Work
1 20250
2 20244
3 202416
4 20248
5 20241
6 20230
7 20235
8 20222
9 202217
10 202120
11 20211
12 202040
13 202044
14 20201
15 202010
16 20179
17 201612
18 200813
19
[Studies of bi-derectional modulation effect of kudzuvine root on immunol cells].
20020
20 199729

About Feng Gu

Feng Gu is a scholar working on Ophthalmology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics and Immunology, having authored 123 papers that have together received 4.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (34 papers), Pituitary Gland Disorders and Treatments (17 papers), RNA and protein synthesis mechanisms (14 papers), Growth Hormone and Insulin-like Growth Factors (13 papers), Retinal Development and Disorders (13 papers), Adrenal and Paraganglionic Tumors (11 papers), RNA regulation and disease (9 papers) and Connexins and lens biology (8 papers). The work is most often cited by research in Business and International Management (121 citations), Aging (98 citations), Endocrinology, Diabetes and Metabolism (831 citations), Molecular Biology (2.6k citations) and Cell Biology (430 citations). Feng Gu has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Jean Grüenberg, Robert G. Parton, Fernando Aniento, Michel L. Tremblay, Alan Cheng, Nadia Dubé, Jia Qu, Colin M. Crump, Gary Thomas and Xianglian Ge. Their work appears in journals such as Scientific Reports, Molecular Therapy — Nucleic Acids, Molecular Therapy, Journal of Biological Chemistry and Pituitary.

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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