Mingdi Li

404 citations
27 papers · 312 · h-index 9

Impact in

Papers in

Mingdi Li

25 papers receiving 305 citations

Peers

Mingdi Li
Comparison fields: 5 of 113
  • Complementary and alternative medicine 48
  • Pharmacology 37
  • Biochemistry 19
  • Nephrology 18
  • Endocrinology, Diabetes and Metabolism 32
Replace Neng Fisheri Kurniati with:
Neng Fisheri Kurniati Indonesia
Brian Chi‐Yan Cheng Hong Kong
Shuguang Wu China
Amrita Devi Khwairakpam India
Tae‐Young Oh South Korea
Youli Lu China
Yanyan Xuan China
Sarika M. Kamble India
Ramakrishna Chintala India
Amr D. Mariee Egypt
Mingdi Li relative to Neng Fisheri Kurniati Indonesia Neng Fisheri Kurniati's profile →
Citations per field
00.5×1.5×
Neng Fisheri Kurniati · 1×
Citations per year

Countries citing papers authored by Mingdi Li

Since Specialization
Citations

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

Fields of papers citing papers by Mingdi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201960
2 201958
3 202328
4
The therapeutic effect and possible harm of puerarin for treatment of stage III diabetic nephropathy: a meta-analysis.
201526
5 202316
6 202116
7 201914
8 202013
9 201911
10 20228
11 20198
12 20237
13 20237
14 20137
15 20216
16 20216
17 20224
18 20154
19 20233
20 20212

About Mingdi Li

Mingdi Li is a scholar working on Complementary and alternative medicine, Molecular Biology, Pharmacology, Nephrology and Epidemiology, having authored 27 papers that have together received 312 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (4 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Pharmacology and Obesity Treatment (2 papers), Complementary and Alternative Medicine Studies (2 papers), Traditional Chinese Medicine Studies (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Allergic Rhinitis and Sensitization (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Complementary and alternative medicine (48 citations), Pharmacology (37 citations), Biochemistry (19 citations), Nephrology (18 citations) and Endocrinology, Diabetes and Metabolism (32 citations). Mingdi Li has collaborated with scholars based in Australia, China and Vietnam. Frequent co-authors include Andrew Hung, Angela Wei Hong Yang, Hong Li, George Binh Lenon, Harsharn Gill, Daniel A. Dias, Shiqi Luo, Bin Wang, Xiaoshan Zhao and Yanyan Liu. Their work appears in journals such as PLoS ONE, Phytotherapy Research, Journal of Molecular Liquids, Evidence-based Complementary and Alternative Medicine and Journal of 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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