Mingzi Li

1.6k citations
73 papers · 1.1k · h-index 20

Impact in

Papers in

Mingzi Li

61 papers receiving 1.1k citations

Peers

Mingzi Li
Comparison fields: 5 of 120
  • Endocrinology, Diabetes and Metabolism 327
  • Research and Theory 9
  • Rehabilitation 52
  • Family Practice 9
  • Pharmacy 22
Replace Willy Marcos Valencia with:
Willy Marcos Valencia United States
Maria Chiara Rossi Italy
Antonio Segura‐Fragoso Spain
Kingshuk Pal United Kingdom
Rodrigo O. Moreira Brazil
R.S. Weinstock United States
Rosana Bento Radominski Brazil
Eugenia D. Vlachou Greece
Elena Marqués‐Sulé Spain
Sean Page United Kingdom
Mingzi Li relative to Willy Marcos Valencia United States Willy Marcos Valencia's profile →
Citations per field
00.5×1.5×1.9×
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 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017100
2 201989
3 202176
4 202074
5 201945
6 202239
7 202138
8 202334
9 201832
10 202431
11 202031
12 201929
13 201928
14 201827
15 202124
16 202123
17 202222
18 202121
19 202320
20 201020

About Mingzi Li

Mingzi Li is a scholar working on Endocrinology, Diabetes and Metabolism, Obstetrics and Gynecology, Psychiatry and Mental health, General Health Professions and Research and Theory, having authored 73 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes Management and Education (12 papers), Gestational Diabetes Research and Management (4 papers), Diabetes Management and Research (4 papers), Dementia and Cognitive Impairment Research (2 papers), Obesity, Physical Activity, Diet (2 papers), Nursing education and management (2 papers), Nursing Roles and Practices (2 papers) and Luminescence and Fluorescent Materials (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (327 citations), Research and Theory (9 citations), Rehabilitation (52 citations), Family Practice (9 citations) and Pharmacy (22 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 J Cai, Yating Zhang, Ruxue Li, Qi Zhang, Jingpin Wang and Qifang Huang. Their work appears in journals such as Journal of Clinical Nursing, Diabetes Research and Clinical Practice, Frontiers in Endocrinology, Biological Research For Nursing and Frontiers in Public Health.

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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