Min‐Dian Li

2.2k citations
33 papers · 1.6k · h-index 19

Impact in

Papers in

Min‐Dian Li

33 papers receiving 1.5k citations

Peers

Min‐Dian Li
Comparison fields: 5 of 88
  • Endocrine and Autonomic Systems 401
  • Aging 81
  • Immunology 486
  • Physiology 463
  • Molecular Biology 901
Replace Heather Towery with:
Heather Towery United States
Dongyin Guan United States
Ángel Carazo Spain
Clinton A. Taylor United States
Kristine Griffett United States
B Filippi Canada
Michael A. Pearen Australia
Jean‐Louis Franc France
Jihong Xu United States
Shiva Kazerounian United States
Min‐Dian Li relative to Heather Towery United States Heather Towery's profile →
Citations per field
00.5×10×15.5×
Heather Towery · 1×
Citations per year

Countries citing papers authored by Min‐Dian Li

Since Specialization
Citations

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

Fields of papers citing papers by Min‐Dian Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012236
2 2014214
3 2013180
4 2013163
5 2009117
6 201866
7 201964
8 202063
9 201853
10
Leptin and beyond: an odyssey to the central control of body weight.
201147
11 202143
12
The role of circadian clocks in metabolic disease.
201242
13 201238
14 201135
15 202124
16 201723
17 202122
18 202320
19 202119
20 202016

About Min‐Dian Li

Min‐Dian Li is a scholar working on Physiology, Endocrine and Autonomic Systems, Molecular Biology, Immunology and Aging, having authored 33 papers that have together received 1.6k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (14 papers), Dietary Effects on Health (11 papers), Glycosylation and Glycoproteins Research (9 papers), Adipose Tissue and Metabolism (7 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Galectins and Cancer Biology (4 papers), Carbohydrate Chemistry and Synthesis (4 papers) and Diet and metabolism studies (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (401 citations), Aging (81 citations), Immunology (486 citations), Physiology (463 citations) and Molecular Biology (901 citations). Min‐Dian Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiaoyong Yang, Jay Prakash Singh, Hai‐Bin Ruan, Jing Wu, Kaisi Zhang, Kevin Qian, Lin Zhao, Anton M. Bennett, Steven P. Jones and Zhihui Zhang. Their work appears in journals such as Nature Communications, Cell Metabolism, Journal of Molecular Cell Biology, Journal of Biological Chemistry and iScience.

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.

Explore authors with similar magnitude of impact