Guoping Li
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Aging top 5%
Papers in
-
- Circular RNAs in diseases 23
- Extracellular vesicles in disease 20
- RNA modifications and cancer 17
- RNA Research and Splicing 14
-
- MicroRNA in disease regulation 29
- Cancer-related molecular mechanisms research 28
- Co-authors
- Junjie Xiao (54 shared papers)Gaoquan Gong (8 shared papers)Changyu Li (9 shared papers)Min Wu (9 shared papers)H. Immo Lehmann (14 shared papers)Priyanka Gokulnath (23 shared papers)Lingxiao Liu (4 shared papers)Jiuhong Kang (9 shared papers)
- Journals
- Advances in experimental medicine and biology (9 papers)Journal of sport and health science (6 papers)EBioMedicine (4 papers)Stem Cell Reports (4 papers)Research (3 papers)
- Partner nations
- ChinaUnited StatesRomania
In The Last Decade
Guoping Li
225 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 175
- Cancer Research 1.2k
- Aging 74
- Molecular Biology 2.5k
- Complementary and alternative medicine 194
- Immunology 474
Countries citing papers authored by Guoping Li
This map shows the geographic impact of Guoping Li'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 Guoping Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoping Li more than expected).
Fields of papers citing papers by Guoping Li
This network shows the impact of papers produced by Guoping Li. 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 Guoping Li. The network helps show where Guoping Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Guoping Li, 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 241 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 218 | |
| 2 | 2020 | 214 | |
| 3 | 2013 | 171 | |
| 4 | 2018 | 154 | |
| 5 | 2022 | 115 | |
| 6 | 2014 | 111 | |
| 7 | 2017 | 106 | |
| 8 | 1985 | 106 | |
| 9 | 2020 | 99 | |
| 10 | 2016 | 94 | |
| 11 | 2002 | 89 | |
| 12 | 2022 | 87 | |
| 13 | 2014 | 85 | |
| 14 | 2016 | 81 | |
| 15 | 2022 | 79 | |
| 16 | 2011 | 77 | |
| 17 | 2014 | 77 | |
| 18 | 2022 | 77 | |
| 19 | 2022 | 74 | |
| 20 | 2013 | 73 |
About Guoping Li
Guoping Li is a scholar working on Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine, Oncology and Physiology, having authored 241 papers that have together received 5.4k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (29 papers), Cancer-related molecular mechanisms research (28 papers), Circular RNAs in diseases (23 papers), Extracellular vesicles in disease (20 papers), RNA modifications and cancer (17 papers), RNA Research and Splicing (14 papers), Asthma and respiratory diseases (9 papers) and Tissue Engineering and Regenerative Medicine (8 papers). The work is most often cited by research in Cancer Research (1.2k citations), Aging (74 citations), Molecular Biology (2.5k citations), Complementary and alternative medicine (194 citations) and Immunology (474 citations). Guoping Li has collaborated with scholars based in China, United States and Romania. Frequent co-authors include Junjie Xiao, Gaoquan Gong, Changyu Li, Min Wu, H. Immo Lehmann, Priyanka Gokulnath, Lingxiao Liu, Jiuhong Kang, Michail Spanos and Hui Chen. Their work appears in journals such as Advances in experimental medicine and biology, Journal of sport and health science, EBioMedicine, Stem Cell Reports and Research.
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.