Feng Gu
Impact in
- Aging top 2%
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
- Genetics 18
- Co-authors
- Jean Grüenberg (2 shared papers)Fernando Aniento (1 shared paper)Robert G. Parton (1 shared paper)Michel L. Tremblay (3 shared papers)Nadia Dubé (2 shared papers)Alan Cheng (2 shared papers)Jia Qu (16 shared papers)Gary Thomas (1 shared paper)
- Journals
- Scientific Reports (7 papers)Molecular Therapy — Nucleic Acids (4 papers)Molecular Therapy (4 papers)Journal of Biological Chemistry (3 papers)Pituitary (3 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Feng Gu
113 papers receiving 3.9k citations
Feng Gu's Hit Papers
Peers
Comparison fields: 5 of 121
- Business and International Management 121
- Aging 98
- Endocrinology, Diabetes and Metabolism 831
- Molecular Biology 2.6k
- Cell Biology 430
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 123 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 383 | |
| 2 | DeepCRISPR: optimized CRISPR guide RNA design by deep learning Hit paper breakdown → | 2018 | 356 |
| 3 | Pasireotide Versus Octreotide in Acromegaly: A Head-to-Head Superiority Study Hit paper breakdown → | 2014 | 302 |
| 4 | 1996 | 299 | |
| 5 | 2014 | 165 | |
| 6 | 2002 | 162 | |
| 7 | 2001 | 149 | |
| 8 | 2020 | 131 | |
| 9 | 2003 | 109 | |
| 10 | 1998 | 106 | |
| 11 | 2017 | 99 | |
| 12 | 2014 | 84 | |
| 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 | 50 | |
| 17 | 2008 | 49 | |
| 18 | 2014 | 47 | |
| 19 | 2020 | 44 | |
| 20 | 2021 | 42 |
About Feng Gu
Feng Gu is a scholar working on Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism, Surgery 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), Retinal Development and Disorders (13 papers), Growth Hormone and Insulin-like Growth Factors (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, Fernando Aniento, Robert G. Parton, Michel L. Tremblay, Nadia Dubé, Alan Cheng, Jia Qu, Gary Thomas, Colin M. Crump 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.