Feng Gu
Impact in
- Aging top 2%
Papers in
-
- CRISPR and Genetic Engineering 34
- RNA and protein synthesis mechanisms 14
- Retinal Development and Disorders 11
- RNA regulation and disease 8
- Connexins and lens biology 8
- Advanced biosensing and bioanalysis techniques 6
-
- Pituitary Gland Disorders and Treatments 16
- Co-authors
- Jean Grüenberg (2 shared papers)Robert G. Parton (1 shared paper)Fernando Aniento (1 shared paper)Michel L. Tremblay (3 shared papers)Nadia Dubé (2 shared papers)Alan Cheng (2 shared papers)Colin M. Crump (2 shared papers)Gary Thomas (2 shared papers)
- Journals
- Scientific Reports (7 papers)Molecular Therapy — Nucleic Acids (4 papers)Molecular Therapy (4 papers)PLoS ONE (3 papers)Pituitary (3 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Feng Gu
116 papers receiving 4.1k citations
Feng Gu's Hit Papers
Peers
Comparison fields: 5 of 117
- Business and International Management 118
- Aging 96
- Endocrinology, Diabetes and Metabolism 818
- Molecular Biology 2.6k
- Cell Biology 427
Countries citing papers authored by Feng Gu
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
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.
All Works
Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 386 | |
| 2 | DeepCRISPR: optimized CRISPR guide RNA design by deep learning Hit paper breakdown → | 2018 | 383 |
| 3 | 2014 | 308 | |
| 4 | 1996 | 299 | |
| 5 | 2014 | 168 | |
| 6 | 2002 | 162 | |
| 7 | 2001 | 148 | |
| 8 | 2020 | 134 | |
| 9 | 2003 | 109 | |
| 10 | 1998 | 106 | |
| 11 | 2017 | 100 | |
| 12 | 2014 | 86 | |
| 13 | 2016 | 64 | |
| 14 | A novel mutation in major intrinsic protein of the lens gene (MIP) underlies autosomal dominant cataract in a Chinese family. | 2007 | 59 |
| 15 | 2013 | 55 | |
| 16 | 2017 | 52 | |
| 17 | 2008 | 49 | |
| 18 | 2014 | 48 | |
| 19 | 2020 | 46 | |
| 20 | 2021 | 45 |
About Feng Gu
Feng Gu is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Immunology and Ophthalmology, having authored 125 papers that have together received 4.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (34 papers), Pituitary Gland Disorders and Treatments (16 papers), RNA and protein synthesis mechanisms (14 papers), Retinal Development and Disorders (11 papers), RNA regulation and disease (8 papers), Connexins and lens biology (8 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Cellular transport and secretion (5 papers). The work is most often cited by research in Business and International Management (118 citations), Aging (96 citations), Endocrinology, Diabetes and Metabolism (818 citations), Molecular Biology (2.6k citations) and Cell Biology (427 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, Nadia Dubé, Alan Cheng, Colin M. Crump, Gary Thomas, Jia Qu and Xianglian Ge. Their work appears in journals such as Scientific Reports, Molecular Therapy — Nucleic Acids, Molecular Therapy, PLoS ONE 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.