Jingyan Tian
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Epidemiology
- Physiology top 10%
- Cardiology and Cardiovascular Medicine
- Co-authors
- Vilhelm A. BohrNadja C. de Souza‐PintoDeborah L. CroteauXiaomin SongTinna StevnsnerMiaoyan QiuWenxin TongWeiqing Wang
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers)Diabetes Management and Research (8 papers)Diabetes Treatment and Management (8 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Jingyan Tian
46 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 714
- Endocrinology, Diabetes and Metabolism 275
- Epidemiology 232
- Physiology 227
- Cardiology and Cardiovascular Medicine 119
Countries citing papers authored by Jingyan Tian
This map shows the geographic impact of Jingyan Tian'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 Jingyan Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingyan Tian more than expected).
Fields of papers citing papers by Jingyan Tian
This network shows the impact of papers produced by Jingyan Tian. 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 Jingyan Tian. The network helps show where Jingyan Tian may publish in the future.
Co-authorship network of co-authors of Jingyan Tian
This figure shows the co-authorship network connecting the top 25 collaborators of Jingyan Tian. A scholar is included among the top collaborators of Jingyan Tian 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 Jingyan Tian. Jingyan Tian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 10 | |
| 3 | 5 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 36 | |
| 10 | 33 | |
| 11 | 8 | |
| 12 | 26 | |
| 13 | 46 | |
| 14 | 5 | |
| 15 | 29 | |
| 16 | 119 | |
| 17 | 160 | |
| 18 | 6 | |
| 19 | Cloning and sequence analysis of tumor-associated gene hMMTAG2 from human multiple myeloma cell line ARH-77. | 2 |
| 20 | 104 |
About Jingyan Tian
Jingyan Tian is a scholar working on Endocrinology, Diabetes and Metabolism, Obstetrics and Gynecology and Physiology, having authored 47 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Diabetes Management and Research (8 papers) and Diabetes Treatment and Management (8 papers). The work is most often cited by research in Clinical Biochemistry (113 citations), Endocrinology, Diabetes and Metabolism (275 citations) and Aging (22 citations). Jingyan Tian has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Vilhelm A. Bohr, Nadja C. de Souza‐Pinto, Deborah L. Croteau, Xiaomin Song, Tinna Stevnsner, Miaoyan Qiu, Wenxin Tong, Weiqing Wang, Peter Sýkora and Lior Weissman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.
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.