Shen Gu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Genetics top 10%
- Genomic variations and chromosomal abnormalities
- Genomics and Rare Diseases
Papers in
-
- DNA Repair Mechanisms 2
- Genetics 11
- Genomic variations and chromosomal abnormalities 7
- Genomics and Rare Diseases 4
- Neurogenetic and Muscular Disorders Research 3
- Co-authors
- Wai‐Yee Chan (7 shared papers)Bifeng Chen (3 shared papers)Lu Li (3 shared papers)Yick-Keung Suen (2 shared papers)James R. Lupski (9 shared papers)Christine R. Beck (4 shared papers)TL Lee (2 shared papers)Bo Yuan (7 shared papers)
- Journals
- Human Mutation (3 papers)Scientific Reports (2 papers)Bioactive Materials (1 paper)npj Genomic Medicine (1 paper)Human Genetics (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Shen Gu
33 papers receiving 768 citations
Peers
Comparison fields: 5 of 88
- Cancer Research 194
- Genetics 187
- Molecular Biology 408
- Genetics 57
- Hematology 34
Countries citing papers authored by Shen Gu
This map shows the geographic impact of Shen 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 Shen Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shen Gu more than expected).
Fields of papers citing papers by Shen Gu
This network shows the impact of papers produced by Shen 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 Shen Gu. The network helps show where Shen Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shen 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 121 | |
| 2 | 2015 | 77 | |
| 3 | 2012 | 59 | |
| 4 | 2012 | 57 | |
| 5 | 2014 | 55 | |
| 6 | 2018 | 52 | |
| 7 | 2013 | 51 | |
| 8 | 2014 | 40 | |
| 9 | 2015 | 32 | |
| 10 | 2013 | 27 | |
| 11 | 2015 | 25 | |
| 12 | 2018 | 22 | |
| 13 | 2019 | 21 | |
| 14 | 2009 | 21 | |
| 15 | 2016 | 19 | |
| 16 | 2014 | 18 | |
| 17 | 2016 | 17 | |
| 18 | 2019 | 15 | |
| 19 | 2018 | 12 | |
| 20 | 2023 | 11 |
About Shen Gu
Shen Gu is a scholar working on Molecular Biology, Genetics, Plant Science, Genetics and Cancer Research, having authored 38 papers that have together received 809 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (7 papers), MicroRNA in disease regulation (6 papers), Chromosomal and Genetic Variations (5 papers), Genomics and Rare Diseases (4 papers), Neurogenetic and Muscular Disorders Research (3 papers), Cancer-related molecular mechanisms research (3 papers), Hereditary Neurological Disorders (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Cancer Research (194 citations), Genetics (187 citations), Molecular Biology (408 citations), Genetics (57 citations) and Hematology (34 citations). Shen Gu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Wai‐Yee Chan, Bifeng Chen, Lu Li, Yick-Keung Suen, James R. Lupski, Christine R. Beck, TL Lee, Bo Yuan, Claudia M.B. Carvalho and Xiao Chen. Their work appears in journals such as Human Mutation, Scientific Reports, Bioactive Materials, npj Genomic Medicine and Human Genetics.
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.