Ling Gu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Reproductive Medicine top 5%
Papers in ⓘ
-
- Epigenetics and DNA Methylation 14
- RNA modifications and cancer 7
- RNA Research and Splicing 5
- Circular RNAs in diseases 5
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- Reproductive Biology and Fertility 17
- Co-authors
- Qiang Wang (11 shared papers)Yuqin Pan (18 shared papers)Honglin Liu (9 shared papers)Qing‐Yuan Sun (2 shared papers)Yeqiong Xu (13 shared papers)Shukui Wang (18 shared papers)Guoqi Song (14 shared papers)Bangshun He (12 shared papers)
- Journals
- Cell Cycle (4 papers)PLoS ONE (4 papers)Biological Trace Element Research (3 papers)Scientific Reports (2 papers)Frontiers in Immunology (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ling Gu
97 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 115
- Cancer Research 343
- Reproductive Medicine 150
- Geriatrics and Gerontology 68
- Molecular Biology 878
- Aging 22
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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 150 | |
| 2 | 2010 | 117 | |
| 3 | 2016 | 80 | |
| 4 | 2012 | 68 | |
| 5 | 2013 | 66 | |
| 6 | 2017 | 61 | |
| 7 | 2014 | 48 | |
| 8 | 2020 | 42 | |
| 9 | 2011 | 41 | |
| 10 | 2017 | 40 | |
| 11 | 2022 | 38 | |
| 12 | 2011 | 37 | |
| 13 | 2011 | 36 | |
| 14 | 2013 | 34 | |
| 15 | 2021 | 33 | |
| 16 | 2013 | 32 | |
| 17 | 2020 | 32 | |
| 18 | 2015 | 31 | |
| 19 | 2018 | 31 | |
| 20 | 2014 | 29 |
About Ling Gu
Ling Gu is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Immunology, Cancer Research and Oncology, having authored 101 papers that have together received 1.8k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (17 papers), Epigenetics and DNA Methylation (14 papers), Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (7 papers), RNA Research and Splicing (5 papers), Circular RNAs in diseases (5 papers), Microtubule and mitosis dynamics (5 papers) and Tuberculosis Research and Epidemiology (5 papers). The work is most often cited by research in Cancer Research (343 citations), Reproductive Medicine (150 citations), Geriatrics and Gerontology (68 citations), Molecular Biology (878 citations) and Aging (22 citations). Ling Gu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Qiang Wang, Yuqin Pan, Honglin Liu, Qing‐Yuan Sun, Yeqiong Xu, Shukui Wang, Guoqi Song, Bangshun He, Kelle H. Moley and Christina E. Boots. Their work appears in journals such as Cell Cycle, PLoS ONE, Biological Trace Element Research, Scientific Reports and Frontiers in Immunology.
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.