Zhonglin Chai
- Infectious Diseases top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics top 10%
- Neurology top 5%
- Co-authors
- Mark E. CooperPaul ZimmetGeorge AlbertiStephanie A. AmielStefano Del PratoStefan R. BornsteinJean Claude MbanyaRobert H. Eckel
- Topics
- Chronic Kidney Disease and Diabetes (11 papers)COVID-19 Clinical Research Studies (7 papers)Diabetes Management and Research (6 papers)
- Journals
- New England Journal of MedicineJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- AustraliaChinaUnited Kingdom
In The Last Decade
Zhonglin Chai
52 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Infectious Diseases 441
- Molecular Biology 365
- Endocrinology, Diabetes and Metabolism 349
- Genetics 338
- Neurology 205
Countries citing papers authored by Zhonglin Chai
This map shows the geographic impact of Zhonglin Chai'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 Zhonglin Chai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhonglin Chai more than expected).
Fields of papers citing papers by Zhonglin Chai
This network shows the impact of papers produced by Zhonglin Chai. 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 Zhonglin Chai. The network helps show where Zhonglin Chai may publish in the future.
Co-authorship network of co-authors of Zhonglin Chai
This figure shows the co-authorship network connecting the top 25 collaborators of Zhonglin Chai. A scholar is included among the top collaborators of Zhonglin Chai 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 Zhonglin Chai. Zhonglin Chai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 10 | |
| 6 | Projected rapid growth in diabetes disease burden and economic burden in China: a spatio-temporal study from 2020 to 2030breakdown → | 105 |
| 7 | 38 | |
| 8 | 1 | |
| 9 | 77 | |
| 10 | 11 | |
| 11 | 16 | |
| 12 | 5 | |
| 13 | 9 | |
| 14 | 9 | |
| 15 | 27 | |
| 16 | 29 | |
| 17 | 5 | |
| 18 | 62 | |
| 19 | 56 | |
| 20 | 12 |
About Zhonglin Chai
Zhonglin Chai is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Health Informatics, having authored 52 papers that have together received 1.6k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (11 papers), COVID-19 Clinical Research Studies (7 papers) and Diabetes Management and Research (6 papers). The work is most often cited by research in Nephrology (177 citations), Infectious Diseases (441 citations) and Endocrinology, Diabetes and Metabolism (349 citations). Zhonglin Chai has collaborated with scholars based in Australia, China and United Kingdom. Frequent co-authors include Mark E. Cooper, Paul Zimmet, George Alberti, Stephanie A. Amiel, Stefano Del Prato, Stefan R. Bornstein, Jean Claude Mbanya, Robert H. Eckel, Bernhard O. Boehm and Éric Renard. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry 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.