Kun Ling
Impact in
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
- Biochemistry top 10%
Papers in
- Nephrology 19
- Renal Diseases and Glomerulopathies 10
- Chronic Kidney Disease and Diabetes 7
- Surgery 15
- Cholesterol and Lipid Metabolism 7
- Lipoproteins and Cardiovascular Health 5
- Co-authors
- Bi Cheng Liu (26 shared papers)Xiong Z. Ruan (22 shared papers)Ze Bo Hu (16 shared papers)Chen Lu (9 shared papers)Yang Zhang (4 shared papers)Jaffar Nourooz‐Zadeh (1 shared paper)Simon P. Wolff (1 shared paper)Pei Pei Chen (14 shared papers)
- Journals
- International Journal of Medical Sciences (4 papers)International Journal of Biological Sciences (4 papers)Theranostics (3 papers)BMC Nephrology (3 papers)Nephrology Dialysis Transplantation (3 papers)
- Partner nations
- ChinaUnited KingdomThailand
In The Last Decade
Kun Ling
49 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 120
- Nephrology 232
- Biochemistry 78
- Endocrinology, Diabetes and Metabolism 198
- Clinical Biochemistry 68
- Biological Psychiatry 20
Countries citing papers authored by Kun Ling
This map shows the geographic impact of Kun Ling'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 Kun Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Ling more than expected).
Fields of papers citing papers by Kun Ling
This network shows the impact of papers produced by Kun Ling. 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 Kun Ling. The network helps show where Kun Ling may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Ling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 139 | |
| 2 | 2016 | 107 | |
| 3 | 1995 | 94 | |
| 4 | 2020 | 77 | |
| 5 | 2018 | 76 | |
| 6 | 2021 | 66 | |
| 7 | 2015 | 48 | |
| 8 | 2015 | 47 | |
| 9 | 2015 | 42 | |
| 10 | 2018 | 41 | |
| 11 | 2013 | 39 | |
| 12 | 2015 | 35 | |
| 13 | 2023 | 34 | |
| 14 | 2012 | 34 | |
| 15 | 2021 | 28 | |
| 16 | 2014 | 26 | |
| 17 | 2016 | 26 | |
| 18 | 2017 | 25 | |
| 19 | 2019 | 23 | |
| 20 | 2017 | 23 |
About Kun Ling
Kun Ling is a scholar working on Nephrology, Surgery, Molecular Biology, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (10 papers), Extracellular vesicles in disease (8 papers), Cholesterol and Lipid Metabolism (7 papers), Chronic Kidney Disease and Diabetes (7 papers), Atherosclerosis and Cardiovascular Diseases (5 papers), Balance, Gait, and Falls Prevention (5 papers), Lipoproteins and Cardiovascular Health (5 papers) and Gut microbiota and health (4 papers). The work is most often cited by research in Nephrology (232 citations), Biochemistry (78 citations), Endocrinology, Diabetes and Metabolism (198 citations), Clinical Biochemistry (68 citations) and Biological Psychiatry (20 citations). Kun Ling has collaborated with scholars based in China, United Kingdom and Thailand. Frequent co-authors include Bi Cheng Liu, Xiong Z. Ruan, Ze Bo Hu, Chen Lu, Yang Zhang, Jaffar Nourooz‐Zadeh, Simon P. Wolff, Pei Pei Chen, Jian Lü and Gui Hua Wang. Their work appears in journals such as International Journal of Medical Sciences, International Journal of Biological Sciences, Theranostics, BMC Nephrology and Nephrology Dialysis Transplantation.
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.