Mingxia Li

597 citations
38 papers · 302 · h-index 12

Impact in

Papers in

Mingxia Li

31 papers receiving 297 citations

Peers

Mingxia Li
Comparison fields: 5 of 87
  • Obstetrics and Gynecology 35
  • Epidemiology 94
  • Microbiology 15
  • Endocrinology, Diabetes and Metabolism 38
  • Applied Psychology 11
Replace Nicolas Duport with:
Nicolas Duport France
Amelia Swift United Kingdom
Moein Zangiabadian Iran
Maria Tzitiridou‐Chatzopoulou Greece
Gagan Priya India
Pei‐Chao Lin Taiwan
Michael Harris United States
Carina Andriatta Blume Brazil
Jovelle Fernandez Japan
Douae El Fatouhi France
Mingxia Li relative to Nicolas Duport France Nicolas Duport's profile →
Citations per field
00.5×4.2×
Nicolas Duport · 1×
Citations per year

Countries citing papers authored by Mingxia Li

Since Specialization
Citations

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

Fields of papers citing papers by Mingxia Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201864
2 201531
3 202129
4 202020
5
A high-fat diet reverses improvement in glucose tolerance induced by duodenal-jejunal bypass in type 2 diabetic rats.
201216
6 202116
7 202215
8 201914
9 202113
10 202311
11 201311
12 202011
13 202010
14 20244
15 20224
16 20074
17 20193
18 20183
19 20133
20
[Evaluation of left ventricular dysfunction by Tei index in neonates with hypoxemia].
20113

About Mingxia Li

Mingxia Li is a scholar working on Surgery, Epidemiology, Cardiology and Cardiovascular Medicine, Clinical Psychology and Pulmonary and Respiratory Medicine, having authored 38 papers that have together received 302 indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (3 papers), Retinal Diseases and Treatments (3 papers), Bariatric Surgery and Outcomes (3 papers), Cervical Cancer and HPV Research (3 papers), COVID-19 and Mental Health (3 papers), Endometrial and Cervical Cancer Treatments (2 papers), Mobile Health and mHealth Applications (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Obstetrics and Gynecology (35 citations), Epidemiology (94 citations), Microbiology (15 citations), Endocrinology, Diabetes and Metabolism (38 citations) and Applied Psychology (11 citations). Mingxia Li has collaborated with scholars based in China, United States and Tunisia. Frequent co-authors include Lihui Wei, Yuanguang Meng, Jianliu Wang, Min Wang, Shufang Jiang, Weiyi Zhang, Lijun Zhao, Zhihui Sun, Yali Li and Xinxin Du. Their work appears in journals such as Medicine, Scientific Reports, JMIR mhealth and uhealth, Knee Surgery Sports Traumatology Arthroscopy and Food Chemistry.

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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