Mingzi Li

1.4k citations
63 papers · 898 · h-index 18

Impact in

Papers in

Mingzi Li

56 papers receiving 877 citations

Peers

Mingzi Li
Comparison fields: 5 of 119
  • Endocrinology, Diabetes and Metabolism 363
  • Research and Theory 10
  • Rehabilitation 59
  • Health Informatics 10
  • Applied Psychology 37
Replace Shu‐Hui Yeh with:
Shu‐Hui Yeh Taiwan
Maria F. Vasiloglou Switzerland
Shizheng Du China
Santiago Saldana United States
Mojtaba Lotfaliany Australia
Christine Ha Canada
Rimke C. Vos Netherlands
Kazuya Fujihara Japan
Kyra Whitmer United States
Marni J. Armstrong Canada
Mingzi Li relative to Shu‐Hui Yeh Taiwan Shu‐Hui Yeh's profile →
Citations per field
00.5×4.9×
Shu‐Hui Yeh · 1×
Citations per year

Countries citing papers authored by Mingzi Li

Since Specialization
Citations

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

Fields of papers citing papers by Mingzi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201794
2 201979
3 202166
4 202055
5 201941
6 201830
7 202030
8 202230
9 202129
10 201825
11 202325
12 201925
13 201924
14 201020
15 202120
16 202419
17 202219
18 202317
19 202017
20 202115

About Mingzi Li

Mingzi Li is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Public Health, Environmental and Occupational Health, Surgery and General Health Professions, having authored 63 papers that have together received 898 indexed citations. Recurring topics across this work include Diabetes Management and Education (14 papers), Diabetes Management and Research (13 papers), Chronic Disease Management Strategies (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Bariatric Surgery and Outcomes (5 papers), Childhood Cancer Survivors' Quality of Life (5 papers), Stroke Rehabilitation and Recovery (4 papers) and Obesity, Physical Activity, Diet (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (363 citations), Research and Theory (10 citations), Rehabilitation (59 citations), Health Informatics (10 citations) and Applied Psychology (37 citations). Mingzi Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yanhui Lu, Dan Luo, Hua Jiang, Xue Cai, Yating Zhang, Jingpin Wang, Qi Zhang, Ruxue Li, Xiudong Wang and Laurie Quinn. Their work appears in journals such as Journal of Clinical Nursing, Diabetes Research and Clinical Practice, Frontiers in Public Health, Worldviews on Evidence-Based Nursing and Diabetes Metabolic Syndrome and Obesity.

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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