Linlin Mai

862 citations
7 papers · 543 · 1 hit paper · h-index 6

Impact in

Papers in

Linlin Mai

7 papers receiving 536 citations

Hit Papers

Association between prediabetes and risk of all cause mortality and cardiovascular disease: updated meta-analysis 2020 · 450 citations
4500+2+4Years since publication100200300400

Peers

Linlin Mai
Comparison fields: 5 of 76
  • Endocrinology, Diabetes and Metabolism 303
  • Cardiology and Cardiovascular Medicine 174
  • Epidemiology 122
  • Physiology 86
  • Pharmacy 12
Replace Cristian Serafinceanu with:
Cristian Serafinceanu Romania
Bige Özkan United States
Sarah Nethercott United Kingdom
Farid Kurniawan Indonesia
Conghui Guan China
Irl B. Hirsch United States
E Eschwège France
Mona Hegazy Egypt
Jieling Xiao Singapore
Linlin Mai relative to Cristian Serafinceanu Romania Cristian Serafinceanu's profile →
Citations per field
00.5×2.6×
Cristian Serafinceanu · 1×
Citations per year

Countries citing papers authored by Linlin Mai

Since Specialization
Citations

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

Fields of papers citing papers by Linlin Mai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1
Association between prediabetes and risk of all cause mortality and cardiovascular disease: updated meta-analysis
Hit paper breakdown →
2020450
2 202159
3 202011
4 20209
5 20198
6 20215
7 20161

About Linlin Mai

Linlin Mai is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Epidemiology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 7 papers that have together received 543 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (2 papers), Acute Myocardial Infarction Research (2 papers), Coronary Interventions and Diagnostics (1 paper), MicroRNA in disease regulation (1 paper), Atherosclerosis and Cardiovascular Diseases (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Cardiac Arrhythmias and Treatments (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (303 citations), Cardiology and Cardiovascular Medicine (174 citations), Epidemiology (122 citations), Physiology (86 citations) and Pharmacy (12 citations). Linlin Mai has collaborated with scholars based in China and Australia. Frequent co-authors include Xiaoyan Cai, Meijun Li, Jason Wu, Yu Yang, Jun Li, Yunlong Zhang, Haoxiao Zheng, Lichang Sun, Min Qiu and Xiong Liu. Their work appears in journals such as Journal of the American College of Cardiology, Diabetes Obesity and Metabolism, BMJ Open, International Journal of Medical Sciences and BMJ.

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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