Ling Gu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
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- Reproductive Biology and Fertility
Papers in
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- Reproductive Biology and Fertility 27
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- MicroRNA in disease regulation 6
- Co-authors
- Qiang Wang (10 shared papers)Honglin Liu (9 shared papers)Yuqin Pan (17 shared papers)Qing-Yuan Sun (2 shared papers)Yeqiong Xu (13 shared papers)Shukui Wang (16 shared papers)Guoqi Song (12 shared papers)Bangshun He (11 shared papers)
- Journals
- PLoS ONE (4 papers)Cell Cycle (4 papers)Biological Trace Element Research (3 papers)Scientific Reports (2 papers)Journal of Cellular Physiology (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ling Gu
95 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 101
- Cancer Research 217
- Public Health, Environmental and Occupational Health 425
- Geriatrics and Gerontology 43
- Reproductive Medicine 78
- Health, Toxicology and Mutagenesis 104
Countries citing papers authored by Ling Gu
This map shows the geographic impact of Ling 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 Ling Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Gu more than expected).
Fields of papers citing papers by Ling Gu
This network shows the impact of papers produced by Ling 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 Ling Gu. The network helps show where Ling Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 163 | |
| 2 | 2010 | 128 | |
| 3 | 2016 | 85 | |
| 4 | 2013 | 73 | |
| 5 | 2017 | 69 | |
| 6 | 2012 | 68 | |
| 7 | 2014 | 50 | |
| 8 | 2020 | 44 | |
| 9 | 2011 | 43 | |
| 10 | 2017 | 43 | |
| 11 | 2011 | 41 | |
| 12 | 2022 | 41 | |
| 13 | 2011 | 40 | |
| 14 | 2020 | 38 | |
| 15 | 2013 | 35 | |
| 16 | 2021 | 34 | |
| 17 | 2014 | 33 | |
| 18 | 2018 | 33 | |
| 19 | 2013 | 32 | |
| 20 | 2015 | 32 |
About Ling Gu
Ling Gu is a scholar working on Public Health, Environmental and Occupational Health, Cancer Research, Cell Biology, Molecular Biology and Complementary and alternative medicine, having authored 98 papers that have together received 1.9k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (27 papers), Microtubule and mitosis dynamics (6 papers), MicroRNA in disease regulation (6 papers), Tuberculosis Research and Epidemiology (5 papers), Heavy Metal Exposure and Toxicity (5 papers), Ion Channels and Receptors (3 papers), Ferroptosis and cancer prognosis (3 papers) and Treatment of Major Depression (3 papers). The work is most often cited by research in Cancer Research (217 citations), Public Health, Environmental and Occupational Health (425 citations), Geriatrics and Gerontology (43 citations), Reproductive Medicine (78 citations) and Health, Toxicology and Mutagenesis (104 citations). Ling Gu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Qiang Wang, Honglin Liu, Yuqin Pan, Qing-Yuan Sun, Yeqiong Xu, Shukui Wang, Guoqi Song, Bangshun He, Christina E. Boots and Kelle H. Moley. Their work appears in journals such as PLoS ONE, Cell Cycle, Biological Trace Element Research, Scientific Reports and Journal of Cellular Physiology.
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.