Shao‐Ling Zhang
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 1%
- Cardiology and Cardiovascular Medicine top 5%
- Nephrology top 1%
- Surgery top 10%
- Co-authors
- John S.D. ChanJulie R. IngelfingerJános G. FilepIsabelle ChénierShiow‐Shih TangChao‐Sheng LoChih‐Chang WeiNicolas Godin
- Topics
- Hormonal Regulation and Hypertension (29 papers)Renin-Angiotensin System Studies (26 papers)Chronic Kidney Disease and Diabetes (15 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaDiabetes
- Partner nations
- United StatesCanadaChina
In The Last Decade
Shao‐Ling Zhang
88 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 121
- Molecular Biology 803
- Endocrinology, Diabetes and Metabolism 786
- Cardiology and Cardiovascular Medicine 606
- Nephrology 483
- Surgery 357
Countries citing papers authored by Shao‐Ling Zhang
This map shows the geographic impact of Shao‐Ling Zhang'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 Shao‐Ling Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shao‐Ling Zhang more than expected).
Fields of papers citing papers by Shao‐Ling Zhang
This network shows the impact of papers produced by Shao‐Ling Zhang. 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 Shao‐Ling Zhang. The network helps show where Shao‐Ling Zhang may publish in the future.
Co-authorship network of co-authors of Shao‐Ling Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Shao‐Ling Zhang. A scholar is included among the top collaborators of Shao‐Ling Zhang 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 Shao‐Ling Zhang. Shao‐Ling Zhang 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 | 3 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 17 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 17 | |
| 10 | 50 | |
| 11 | 23 | |
| 12 | 9 | |
| 13 | 16 | |
| 14 | 3 | |
| 15 | 29 | |
| 16 | 19 | |
| 17 | 40 | |
| 18 | 40 | |
| 19 | 30 | |
| 20 | 24 |
About Shao‐Ling Zhang
Shao‐Ling Zhang is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Cardiology and Cardiovascular Medicine, having authored 91 papers that have together received 2.4k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (29 papers), Renin-Angiotensin System Studies (26 papers) and Chronic Kidney Disease and Diabetes (15 papers). The work is most often cited by research in Nephrology (483 citations), Endocrinology, Diabetes and Metabolism (786 citations) and Cardiology and Cardiovascular Medicine (606 citations). Shao‐Ling Zhang has collaborated with scholars based in United States, Canada and China. Frequent co-authors include John S.D. Chan, Julie R. Ingelfinger, János G. Filep, Isabelle Chénier, Shiow‐Shih Tang, Chao‐Sheng Lo, Chih‐Chang Wei, Nicolas Godin, Tusty‐Jiuan Hsieh and Yixuan Shi. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Diabetes.
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.