Ying-Jun Mi

423 citations
15 papers · 342 · h-index 11

Impact in

Papers in

Ying-Jun Mi

15 papers receiving 336 citations

Peers

Ying-Jun Mi
Comparison fields: 5 of 85
  • Public Health, Environmental and Occupational Health 110
  • Cardiology and Cardiovascular Medicine 80
  • Endocrinology, Diabetes and Metabolism 53
  • Reproductive Medicine 25
  • Neurology 32
Replace Muagututi‘a Sefuiva Reupena with:
Muagututi‘a Sefuiva Reupena Samoa
Kung‐Ting Kao Australia
Florencia Ceriani Uruguay
Yanjun Wu China
Juliane Rothermel Germany
Seyit Ahmet Uçaktürk Türkiye
Bledar Daka Sweden
Agnieszka Zachurzok Poland
Anna Citko Poland
Güzin Fidan Yaylalı Türkiye
Ying-Jun Mi relative to Muagututi‘a Sefuiva Reupena Samoa Muagututi‘a Sefuiva Reupena's profile →
Citations per field
00.5×10.7×
Muagututi‘a Sefuiva Reupena · 1×
Citations per year

Countries citing papers authored by Ying-Jun Mi

Since Specialization
Citations

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

Fields of papers citing papers by Ying-Jun Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying-Jun Mi. 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 Ying-Jun Mi. The network helps show where Ying-Jun Mi may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2015123
2 201750
3 201533
4 201531
5 201518
6 201518
7 201615
8 202011
9 202011
10 201710
11 201710
12 20214
13 20204
14 20232
15 20202

About Ying-Jun Mi

Ying-Jun Mi is a scholar working on Public Health, Environmental and Occupational Health, Cardiology and Cardiovascular Medicine, Molecular Biology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 15 papers that have together received 342 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (4 papers), Nutritional Studies and Diet (3 papers), Obesity, Physical Activity, Diet (3 papers), Health Promotion and Cardiovascular Prevention (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Cardiovascular Health and Risk Factors (2 papers), Ubiquitin and proteasome pathways (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (110 citations), Cardiology and Cardiovascular Medicine (80 citations), Endocrinology, Diabetes and Metabolism (53 citations), Reproductive Medicine (25 citations) and Neurology (32 citations). Ying-Jun Mi has collaborated with scholars based in China, Taiwan and Belgium. Frequent co-authors include Qing‐Bao Tian, Dianwu Liu, Huijun Wang, Bing Zhang, Su-Fen Qi, Jing Yan, Wei Han, Jing Zhao, Pei Du and Yingli Liu. Their work appears in journals such as Journal of Epidemiology, Infection Genetics and Evolution, Gene, Annals of Epidemiology and American Journal of Preventive Medicine.

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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