Jianyong Ma

2.9k citations
86 papers · 1.8k indexed · 1 hit paper · h-index 22

Jianyong Ma

84 papers receiving 1.8k citations

Hit Papers

Relationship between the triglyceride-glucose index and r...209202220262023202450100150200

Peers

Jianyong Ma
Comparison fields: 5 of 126
  • Cardiology and Cardiovascular Medicine 656
  • Internal Medicine 91
  • Endocrinology, Diabetes and Metabolism 288
  • Nephrology 84
  • Infectious Diseases 187
Replace Panagiotis Theofilis with:
Panagiotis Theofilis Greece
Peng Yu China
Εugenia Gkaliagkousi Greece
Umberto Campia United States
Pablo Castro Chile
Yasushi Matsuzawa Japan
Krishnaraj S. Rathod United Kingdom
Antonio Muscari Italy
Enrico Vizzardi Italy
Jessica Gambardella Italy
Jianyong Ma relative to Panagiotis Theofilis Greece Panagiotis Theofilis's profile →
Citations per field
00.5×10×16×
Panagiotis Theofilis · 1×
Citations per year

Countries citing papers authored by Jianyong Ma

Since Specialization
Citations

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

Fields of papers citing papers by Jianyong Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jianyong 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 Jianyong Ma Line = papers co-authored together Jianyong Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20254
2 202318
3 202314
4 202314
5 202345
6 202319
7 202339
8 202214
9 202213
10 202215
11 20222
12 20210
13 202160
14 202121
15 202113
16 202129
17 202027
18 202051
19 202014
20 201748

About Jianyong Ma

Jianyong Ma is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine and Nephrology, having authored 86 papers that have together received 1.8k indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (27 papers), Cardiovascular Function and Risk Factors (14 papers), COVID-19 Clinical Research Studies (9 papers), Venous Thromboembolism Diagnosis and Management (9 papers), Cardiac Arrhythmias and Treatments (8 papers), Effects and risks of endocrine disrupting chemicals (7 papers), Heart Failure Treatment and Management (6 papers) and Liver Disease Diagnosis and Treatment (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (656 citations), Internal Medicine (91 citations) and Endocrinology, Diabetes and Metabolism (288 citations). Jianyong Ma has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Wengen Zhu, Peng Yu, Xiao Liu, Menglu Liu, Xiao Liu, Ziqi Tan, Hongsheng Wang, Huilei Zhao, Yue Zhou and Yujie Zhao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and PLoS ONE.

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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