Kun Ling Ma

1.8k citations
52 papers · 1.3k · h-index 20

Impact in

  • Nephrology top 5%
    • Chronic Kidney Disease and Diabetes
    • Renal Diseases and Glomerulopathies
  • Biochemistry top 10%
    • Antioxidant Activity and Oxidative Stress

Papers in

    • Chronic Kidney Disease and Diabetes 4
    • Renal Diseases and Glomerulopathies 3
    • Cholesterol and Lipid Metabolism 5
    • Lipoproteins and Cardiovascular Health 3

Kun Ling Ma

52 papers receiving 1.3k citations

Peers

Kun Ling Ma
Comparison fields: 5 of 118
  • Nephrology 189
  • Biochemistry 70
  • Endocrinology, Diabetes and Metabolism 163
  • Clinical Biochemistry 50
  • Biological Psychiatry 17
Replace Juan Chen with:
Juan Chen China
Mariana Floria Romania
Nadereh Rashtchizadeh Iran
Wenshan Lv China
Beibei Luo China
Itamar Grosskopf Israel
Kei Nakajima Japan
Hayley Lund United States
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Kun Ling Ma relative to Juan Chen China Juan Chen's profile →
Citations per field
00.5×2×2.6×
Juan Chen · 1×
Citations per year

Countries citing papers authored by Kun Ling Ma

Since Specialization
Citations

This map shows the geographic impact of Kun Ling Ma'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 Ma 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 Ma more than expected).

Fields of papers citing papers by Kun Ling Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun Ling Ma. 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 Ma. The network helps show where Kun Ling Ma may publish in the future.

Co-authors

The 25 scholars most cited alongside Kun Ling Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kun Ling Ma Line = papers co-authored together Kun Ling Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996141
2 2016113
3 1995100
4 202087
5 201881
6 201553
7 201552
8 201846
9 201545
10 202344
11 201341
12 201539
13 202135
14 201235
15 201628
16 201427
17 201727
18 201726
19 201924
20 201322

About Kun Ling Ma

Kun Ling Ma 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 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), Lipoproteins and Cardiovascular Health (3 papers), Renal Diseases and Glomerulopathies (3 papers), Diabetes and associated disorders (2 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). The work is most often cited by research in Nephrology (189 citations), Biochemistry (70 citations), Endocrinology, Diabetes and Metabolism (163 citations), Clinical Biochemistry (50 citations) and Biological Psychiatry (17 citations). Kun Ling Ma has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Bi Cheng Liu, Xiong Zhong Ruan, Ze Bo Hu, Chen Lu, Yang Zhang, Simon P. Wolff, Jian Guo Lu, Jaffar Nourooz‐Zadeh, Pei Pei Chen and Gui Hua Wang. Their work appears in journals such as International Journal of Medical Sciences, International Journal of Biological Sciences, BMC Nephrology, Atherosclerosis and Journal of the American Society of Nephrology.

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.

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