Jin‐Ping Li
Impact in
- Cell Biology top 5%
- Proteoglycans and glycosaminoglycans research
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
Papers in
-
- Glycosylation and Glycoproteins Research 2
- RNA modifications and cancer 2
-
- Proteoglycans and glycosaminoglycans research 6
- Co-authors
- Israël Vlodavsky (4 shared papers)Ulf Lindahl (2 shared papers)Tova Chajek‐Shaul (1 shared paper)Helena Aingorn (1 shared paper)Talia Weinstein (1 shared paper)Eyal Zcharia (1 shared paper)Michael Elkin (1 shared paper)Shula Metzger (1 shared paper)
- Journals
- The FASEB Journal (3 papers)Advanced Science (1 paper)Clinical and Translational Science (1 paper)International Immunopharmacology (1 paper)Brain Pathology (1 paper)
- Partner nations
- SwedenChinaUnited States
In The Last Decade
Jin‐Ping Li
10 papers receiving 620 citations
Peers
Comparison fields: 5 of 89
- Cell Biology 248
- Internal Medicine 38
- Immunology and Allergy 36
- Infectious Diseases 103
- Molecular Biology 285
Countries citing papers authored by Jin‐Ping Li
This map shows the geographic impact of Jin‐Ping 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 Jin‐Ping Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin‐Ping Li more than expected).
Fields of papers citing papers by Jin‐Ping Li
This network shows the impact of papers produced by Jin‐Ping 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 Jin‐Ping Li. The network helps show where Jin‐Ping Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin‐Ping 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 | 2004 | 204 | |
| 2 | 2020 | 153 | |
| 3 | 2002 | 89 | |
| 4 | 2008 | 72 | |
| 5 | 2023 | 30 | |
| 6 | 2023 | 22 | |
| 7 | 2021 | 20 | |
| 8 | 2016 | 18 | |
| 9 | 2020 | 16 | |
| 10 | 2017 | 11 | |
| 11 | 2024 | 0 | |
| 12 | 2024 | 0 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 |
About Jin‐Ping Li
Jin‐Ping Li is a scholar working on Molecular Biology, Cell Biology, Immunology, Cancer Research and Infectious Diseases, having authored 14 papers that have together received 635 indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (6 papers), Glycosylation and Glycoproteins Research (2 papers), RNA modifications and cancer (2 papers), COVID-19 Clinical Research Studies (2 papers), Connective tissue disorders research (2 papers), Dermatological and COVID-19 studies (1 paper), Advanced Proteomics Techniques and Applications (1 paper) and Cancer-related molecular mechanisms research (1 paper). The work is most often cited by research in Cell Biology (248 citations), Internal Medicine (38 citations), Immunology and Allergy (36 citations), Infectious Diseases (103 citations) and Molecular Biology (285 citations). Jin‐Ping Li has collaborated with scholars based in Sweden, China and United States. Frequent co-authors include Israël Vlodavsky, Ulf Lindahl, Tova Chajek‐Shaul, Helena Aingorn, Talia Weinstein, Eyal Zcharia, Michael Elkin, Shula Metzger, Yael Friedmann and Pia Ek. Their work appears in journals such as The FASEB Journal, Advanced Science, Clinical and Translational Science, International Immunopharmacology and Brain Pathology.
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.