Yanjie Li
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Genetics top 5%
- Epidemiology top 10%
- Co-authors
- Deborah B. ZambleHoward N. HodisWendy J. MackFrank Z. StanczykNaoko KonoDonna ShoupeFeng MeiJuliana Hwang-Levine
- Topics
- Cardiovascular Health and Disease Prevention (10 papers)Congenital Heart Disease Studies (10 papers)Cardiovascular Disease and Adiposity (10 papers)
- Journals
- New England Journal of MedicineChemical ReviewsProceedings of the National Academy of Sciences
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yanjie Li
128 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Molecular Biology 720
- Endocrinology, Diabetes and Metabolism 492
- Cardiology and Cardiovascular Medicine 477
- Genetics 392
- Epidemiology 348
Countries citing papers authored by Yanjie Li
This map shows the geographic impact of Yanjie 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 Yanjie Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanjie Li more than expected).
Fields of papers citing papers by Yanjie Li
This network shows the impact of papers produced by Yanjie 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 Yanjie Li. The network helps show where Yanjie Li may publish in the future.
Co-authorship network of co-authors of Yanjie Li
This figure shows the co-authorship network connecting the top 25 collaborators of Yanjie Li. A scholar is included among the top collaborators of Yanjie Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yanjie Li. Yanjie Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 10 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 9 | |
| 14 | 8 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 17 | |
| 19 | 30 | |
| 20 | Expression of C-erbB-2 protein and mRNA in esophageal cancer tissue | 0 |
About Yanjie Li
Yanjie Li is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Biochemistry, having authored 152 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (10 papers), Congenital Heart Disease Studies (10 papers) and Cardiovascular Disease and Adiposity (10 papers). The work is most often cited by research in Emergency Medicine (313 citations), Endocrinology, Diabetes and Metabolism (492 citations) and Biochemistry (135 citations). Yanjie Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Deborah B. Zamble, Howard N. Hodis, Wendy J. Mack, Frank Z. Stanczyk, Naoko Kono, Donna Shoupe, Feng Mei, Juliana Hwang-Levine, Robert H. Selzer and Victor W. Henderson. Their work appears in journals such as New England Journal of Medicine, Chemical Reviews and Proceedings of the National Academy of Sciences.
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.