Kun Ling
Impact in
- Nephrology top 2%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
- Biochemistry top 10%
- Antioxidant Activity and Oxidative Stress
Papers in
-
- Extracellular vesicles in disease 7
- Gut microbiota and health 4
- Surgery 12
- Cholesterol and Lipid Metabolism 5
- Lipoproteins and Cardiovascular Health 3
- 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)Jaffar Nourooz‐Zadeh (1 shared paper)Pei Pei Chen (15 shared papers)Simon P. Wolff (1 shared paper)Yang Zhang (4 shared papers)
- Journals
- International Journal of Medical Sciences (4 papers)International Journal of Biological Sciences (4 papers)BMC Nephrology (3 papers)Theranostics (3 papers)Nephrology Dialysis Transplantation (3 papers)
- Partner nations
- ChinaUnited KingdomHong Kong
In The Last Decade
Kun Ling
51 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 117
- Nephrology 200
- Biochemistry 72
- Endocrinology, Diabetes and Metabolism 167
- Clinical Biochemistry 53
- Biological Psychiatry 17
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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 142 | |
| 2 | 2016 | 107 | |
| 3 | 1995 | 100 | |
| 4 | 2020 | 81 | |
| 5 | 2018 | 77 | |
| 6 | 2021 | 73 | |
| 7 | 2015 | 51 | |
| 8 | 2015 | 49 | |
| 9 | 2018 | 45 | |
| 10 | 2015 | 44 | |
| 11 | 2023 | 40 | |
| 12 | 2013 | 39 | |
| 13 | 2015 | 39 | |
| 14 | 2012 | 34 | |
| 15 | 2021 | 30 | |
| 16 | 2016 | 28 | |
| 17 | 2014 | 27 | |
| 18 | 2017 | 27 | |
| 19 | 2017 | 25 | |
| 20 | 2019 | 24 |
About Kun Ling
Kun Ling is a scholar working on Molecular Biology, Surgery, Nephrology, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (7 papers), Cholesterol and Lipid Metabolism (5 papers), Chronic Kidney Disease and Diabetes (4 papers), Gut microbiota and health (4 papers), Renal Diseases and Glomerulopathies (4 papers), Lipoproteins and Cardiovascular Health (3 papers), Demographic Trends and Gender Preferences (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Nephrology (200 citations), Biochemistry (72 citations), Endocrinology, Diabetes and Metabolism (167 citations), Clinical Biochemistry (53 citations) and Biological Psychiatry (17 citations). Kun Ling has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Bi Cheng Liu, Xiong Z. Ruan, Ze Bo Hu, Chen Lu, Jaffar Nourooz‐Zadeh, Pei Pei Chen, Simon P. Wolff, Yang Zhang, Jian Lü and Gui Hua Wang. Their work appears in journals such as International Journal of Medical Sciences, International Journal of Biological Sciences, BMC Nephrology, Theranostics 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.