Mingzi Li

1.5k citations
69 papers · 993 · h-index 19

Impact in

Papers in

Mingzi Li

60 papers receiving 971 citations

Peers

Mingzi Li
Comparison fields: 5 of 117
  • Endocrinology, Diabetes and Metabolism 308
  • Research and Theory 7
  • Rehabilitation 44
  • Health Informatics 8
  • Family Practice 9
Replace Willy Marcos Valencia with:
Willy Marcos Valencia United States
Mary Larkin United States
Maria Chiara Rossi Italy
P. Passera Italy
Leonor Corsino United States
Ann-Britt Wiréhn Sweden
Antonio Segura‐Fragoso Spain
Marcel C. Adriaanse Netherlands
Kingshuk Pal United Kingdom
Kees J. Gorter Netherlands
Mingzi Li relative to Willy Marcos Valencia United States Willy Marcos Valencia's profile →
Citations per field
00.5×3.6×
Willy Marcos Valencia · 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 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201797
2 201985
3 202170
4 202063
5 201944
6 202235
7 202133
8 202030
9 202330
10 201830
11 201927
12 201827
13 201926
14 202424
15 202122
16 202121
17 201020
18 202219
19 202119
20 202318

About Mingzi Li

Mingzi Li is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, General Health Professions, Epidemiology and Obstetrics and Gynecology, having authored 69 papers that have together received 993 indexed citations. Recurring topics across this work include Diabetes Management and Education (12 papers), Diabetes Management and Research (4 papers), Gestational Diabetes Research and Management (4 papers), Obesity, Physical Activity, Diet (2 papers), Dementia and Cognitive Impairment Research (2 papers), Stroke Rehabilitation and Recovery (2 papers), Ferroelectric and Negative Capacitance Devices (1 paper) and Nursing education and management (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (308 citations), Research and Theory (7 citations), Rehabilitation (44 citations), Health Informatics (8 citations) and Family Practice (9 citations). Mingzi Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yanhui Lu, Xinjun Jiang, Dan Luo, Hua Jiang, Xue Cai, Yating Zhang, Ruxue Li, Qi Zhang, Jingpin Wang and Chang Park. Their work appears in journals such as Journal of Clinical Nursing, Diabetes Research and Clinical Practice, Worldviews on Evidence-Based Nursing, Diabetes Metabolic Syndrome and Obesity and Nutrients.

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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