Chun‐Ming Ma

1.0k total citations
58 papers, 733 citations indexed

About

Chun‐Ming Ma is a scholar working on Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health and Epidemiology. According to data from OpenAlex, Chun‐Ming Ma has authored 58 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Endocrinology, Diabetes and Metabolism, 18 papers in Public Health, Environmental and Occupational Health and 17 papers in Epidemiology. Recurrent topics in Chun‐Ming Ma's work include Diabetes, Cardiovascular Risks, and Lipoproteins (20 papers), Obesity, Physical Activity, Diet (16 papers) and Blood Pressure and Hypertension Studies (8 papers). Chun‐Ming Ma is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (20 papers), Obesity, Physical Activity, Diet (16 papers) and Blood Pressure and Hypertension Studies (8 papers). Chun‐Ming Ma collaborates with scholars based in China, Australia and United Kingdom. Chun‐Ming Ma's co-authors include Fuzai Yin, Qiang Lü, Xiaoli Liu, Na Lü, John K. Maesaka, Alexander Fuchs, Howard Trachtman, John A. Sturman, Elsa Valderrama and al et and has published in prestigious journals such as PEDIATRICS, Scientific Reports and Small.

In The Last Decade

Chun‐Ming Ma

56 papers receiving 706 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chun‐Ming Ma China 16 171 157 156 110 101 58 733
Diana Jędrzejuk Poland 18 138 0.8× 246 1.6× 224 1.4× 108 1.0× 166 1.6× 79 955
Shaoyong Xu China 16 240 1.4× 272 1.7× 282 1.8× 154 1.4× 190 1.9× 74 941
Mohammad Reza Mohajeri‐Tehrani Iran 18 93 0.5× 357 2.3× 118 0.8× 74 0.7× 146 1.4× 80 1.0k
Seong‐Su Moon South Korea 14 82 0.5× 129 0.8× 274 1.8× 42 0.4× 164 1.6× 28 828
Fangzhen Xia China 22 149 0.9× 340 2.2× 179 1.1× 128 1.2× 306 3.0× 61 1.3k
Hualing Zhai China 24 93 0.5× 401 2.6× 142 0.9× 33 0.3× 201 2.0× 49 1.2k
Kathleen M. Hill Gallant United States 24 188 1.1× 146 0.9× 293 1.9× 183 1.7× 123 1.2× 77 1.7k
Mohammad Kazem Fallahzadeh Iran 14 53 0.3× 124 0.8× 58 0.4× 51 0.5× 203 2.0× 49 931
Detlef Nachtigall Germany 4 151 0.9× 61 0.4× 229 1.5× 58 0.5× 30 0.3× 5 1.0k
P Jaeger Switzerland 18 70 0.4× 111 0.7× 185 1.2× 65 0.6× 55 0.5× 34 951

Countries citing papers authored by Chun‐Ming Ma

Since Specialization
Citations

This map shows the geographic impact of Chun‐Ming 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 Chun‐Ming Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun‐Ming Ma more than expected).

Fields of papers citing papers by Chun‐Ming Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Ming 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 Chun‐Ming Ma. The network helps show where Chun‐Ming Ma may publish in the future.

Co-authorship network of co-authors of Chun‐Ming Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Ming Ma. A scholar is included among the top collaborators of Chun‐Ming Ma 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 Chun‐Ming Ma. Chun‐Ming Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lü, Na, Gang Cheng, Chun‐Ming Ma, & Xiaoli Liu. (2023). Hypertriglyceridemic waist phenotype, hypertriglyceridemic waist-to-height ratio phenotype and abnormal glucose metabolism in adolescents. Diabetes Research and Clinical Practice. 198. 110622–110622. 3 indexed citations
2.
Ma, Chun‐Ming, Ning Wang, Yan Yan, et al.. (2022). Age, Pulse, Urea, and Albumin Score: A Tool for Predicting the Short-Term and Long-Term Outcomes of Community-Acquired Pneumonia Patients With Diabetes. Frontiers in Endocrinology. 13. 882977–882977. 7 indexed citations
3.
Liu, Xiaoli, et al.. (2021). Performance of Two Novel Obesity Indicators for the Management of Metabolic Syndrome in Young Adults. Frontiers in Endocrinology. 12. 719416–719416. 3 indexed citations
4.
Ma, Chun‐Ming & Fuzai Yin. (2020). <p>Glycosylated Hemoglobin A1c Improves the Performance of the Nomogram for Predicting the 5-Year Incidence of Type 2 Diabetes</p>. Diabetes Metabolic Syndrome and Obesity. Volume 13. 1753–1762. 5 indexed citations
5.
Ma, Chun‐Ming, et al.. (2019). <p>The Effects of Type 2 Diabetes and Postoperative Pneumonia on the Mortality in Inpatients with Surgery</p>. Diabetes Metabolic Syndrome and Obesity. Volume 12. 2507–2513. 17 indexed citations
6.
Ma, Chun‐Ming, Xiaoli Liu, Na Lü, et al.. (2019). Hypertriglyceridemic waist phenotype and abnormal glucose metabolism: a system review and meta-analysis. Endocrine. 64(3). 469–485. 20 indexed citations
7.
Ma, Chun‐Ming, Katherine Tonks, Dorit Samocha‐Bonet, & Jerry R. Greenfield. (2018). Complex interplay among adiposity, insulin resistance and bone health. Clinical Obesity. 8(2). 131–139. 22 indexed citations
8.
Ma, Chun‐Ming, Na Lü, Rui Wang, et al.. (2017). Three novel obese indicators perform better in monitoring management of metabolic syndrome in type 2 diabetes. Scientific Reports. 7(1). 9843–9843. 30 indexed citations
9.
Ma, Chun‐Ming, Rui Wang, Xiaoli Liu, et al.. (2017). The Relationship between Hypertriglyceridemic Waist Phenotype and Early Diabetic Nephropathy in Type 2 Diabetes. Cardiorenal Medicine. 7(4). 295–300. 17 indexed citations
10.
Ma, Chun‐Ming, et al.. (2016). How to Simplify the Diagnostic Criteria of Metabolic Syndrome in Adolescents. Pediatrics & Neonatology. 58(2). 178–184. 8 indexed citations
11.
Ma, Chun‐Ming, et al.. (2016). A new modified blood pressure-to-height ratio simplifies the screening of hypertension in Han Chinese children. Hypertension Research. 39(12). 893–898. 6 indexed citations
12.
Ma, Chun‐Ming, Qiang Lü, & Fuzai Yin. (2015). The performance of modified blood pressure-to-height ratio as a screening measure for identifying children with hypertension. Clinical and Experimental Hypertension. 38(2). 155–159. 5 indexed citations
13.
14.
Yin, Fuzai, et al.. (2012). Neck circumference is an accurate and simple index for evaluating overweight and obesity in Han children. Annals of Human Biology. 39(2). 161–165. 41 indexed citations
15.
16.
17.
Lü, Qiang, Tristan J. Iseli, Fuzai Yin, et al.. (2010). The relationship between the waist-to-height ratio and glucose and lipid metabolism in Han adolescents. The Indian Journal of Pediatrics. 77(5). 547–550. 4 indexed citations
18.
Liu, Bowei, et al.. (2009). Factors Associated with Insulin Resistance and Fasting Plasma Ghrelin Levels in Adolescents with Obesity and Family History of Type 2 Diabetes. Experimental and Clinical Endocrinology & Diabetes. 117(10). 600–604. 11 indexed citations
19.
Yin, Fuzai, et al.. (2008). [The best waist circumference cut-point for identifying cardiovascular risk factors among adolescents: a preliminary study].. PubMed. 88(34). 2410–3. 2 indexed citations
20.
Lü, Qiang, et al.. (2008). The study of insulin resistance and soluble intercellular adhesion molecule-1 in normotensive adolescents with a family history of hypertension. Journal of Human Hypertension. 23(6). 402–406. 3 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Diana Jędrzejuk Breakdown of academic impact, for papers by Shaoyong Xu Breakdown of academic impact, for papers by Mohammad Reza Mohajeri‐Tehrani Breakdown of academic impact, for papers by Seong‐Su Moon Breakdown of academic impact, for papers by Fangzhen Xia Breakdown of academic impact, for papers by Hualing Zhai Breakdown of academic impact, for papers by Kathleen M. Hill Gallant Breakdown of academic impact, for papers by Mohammad Kazem Fallahzadeh Breakdown of academic impact, for papers by Detlef Nachtigall Breakdown of academic impact, for papers by P Jaeger
Rankless by CCL
2026