Jinping Li
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
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- Proteoglycans and glycosaminoglycans research
Papers in
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- Circular RNAs in diseases 4
- Fibroblast Growth Factor Research 3
- Angiogenesis and VEGF in Cancer 2
- Metabolism, Diabetes, and Cancer 2
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- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 2
- Cancer, Hypoxia, and Metabolism 2
- Co-authors
- Caius Solovan (1 shared paper)Ulrich Frei (1 shared paper)Kai‐Uwe Eckardt (1 shared paper)Christian Rosenberger (1 shared paper)Regina Treudler (1 shared paper)Lawrence F. Brown (1 shared paper)Resham Bhattacharya (1 shared paper)Kaustubh Datta (1 shared paper)
- Journals
- Cancer Research (2 papers)Cancer Cell International (1 paper)Translational Oncology (1 paper)Journal of Investigative Dermatology (1 paper)Cancer Gene Therapy (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Jinping Li
16 papers receiving 396 citations
Peers
Comparison fields: 5 of 67
- Cancer Research 145
- Cell Biology 67
- Immunology 74
- Molecular Biology 230
- Dermatology 22
Countries citing papers authored by Jinping Li
This map shows the geographic impact of Jinping 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 Jinping Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinping Li more than expected).
Fields of papers citing papers by Jinping Li
This network shows the impact of papers produced by Jinping 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 Jinping Li. The network helps show where Jinping Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinping 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
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 129 | |
| 2 | 2004 | 57 | |
| 3 | 2017 | 39 | |
| 4 | 2020 | 35 | |
| 5 | 2019 | 28 | |
| 6 | 2017 | 26 | |
| 7 | 2020 | 22 | |
| 8 | 2014 | 18 | |
| 9 | 2022 | 15 | |
| 10 | 2022 | 10 | |
| 11 | 2017 | 8 | |
| 12 | 2020 | 7 | |
| 13 | 2025 | 3 | |
| 14 | 2019 | 2 | |
| 15 | Experimental study on artherosclerosis of the rabbit caused by homocysteine | 2007 | 1 |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 |
About Jinping Li
Jinping Li is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Surgery and Oncology, having authored 17 papers that have together received 402 indexed citations. Recurring topics across this work include Circular RNAs in diseases (4 papers), Proteoglycans and glycosaminoglycans research (4 papers), MicroRNA in disease regulation (3 papers), Fibroblast Growth Factor Research (3 papers), Angiogenesis and VEGF in Cancer (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Cancer-related molecular mechanisms research (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (145 citations), Cell Biology (67 citations), Immunology (74 citations), Molecular Biology (230 citations) and Dermatology (22 citations). Jinping Li has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Caius Solovan, Ulrich Frei, Kai‐Uwe Eckardt, Christian Rosenberger, Regina Treudler, Lawrence F. Brown, Resham Bhattacharya, Kaustubh Datta, Enfeng Wang and Debabrata Mukhopadhyay. Their work appears in journals such as Cancer Research, Cancer Cell International, Translational Oncology, Journal of Investigative Dermatology and Cancer Gene Therapy.
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.