M. Li

1.4k citations
27 papers · 997 · 1 hit paper · h-index 13

Impact in

Papers in

M. Li

26 papers receiving 973 citations

M. Li's Hit Papers

Meta‐analysis on shift work and risks of specific obesity types 2017 · 251 citations
2510+3+6Years since publication50100150200250

Peers

M. Li
Comparison fields: 5 of 109
  • Endocrine and Autonomic Systems 165
  • Experimental and Cognitive Psychology 274
  • Rheumatology 288
  • Immunology 218
  • Orthopedics and Sports Medicine 75
Replace Rie Aoki with:
Rie Aoki Japan
Tamara S. Hannon United States
Eric W. Livingston United States
Johannes W G Jacobs Netherlands
Noreen Pundt Germany
Natalya Danchenko United States
Taciser Kaya Türkiye
Jin Soon Hwang South Korea
Juan Ybarra Spain
Giorgio Radetti Italy
M. Li relative to Rie Aoki Japan Rie Aoki's profile →
Citations per field
00.5×6.1×
Rie Aoki · 1×
Citations per year

Countries citing papers authored by M. Li

Since Specialization
Citations

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

Fields of papers citing papers by M. Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. 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 M. Li Line = papers co-authored together M. 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
Meta‐analysis on shift work and risks of specific obesity types
Hit paper breakdown →
2017251
2 2014210
3 2008203
4 200958
5 201441
6 200435
7 200027
8 200125
9 202323
10 200421
11 200219
12 200119
13 198813
14 198711
15 201310
16 20236
17 20206
18 20233
19 20053
20 20243

About M. Li

M. Li is a scholar working on Molecular Biology, Oncology, Rheumatology, Surgery and Pathology and Forensic Medicine, having authored 27 papers that have together received 997 indexed citations. Recurring topics across this work include Bone health and osteoporosis research (3 papers), Sleep and related disorders (3 papers), Spondyloarthritis Studies and Treatments (3 papers), Muscle Physiology and Disorders (3 papers), Tissue Engineering and Regenerative Medicine (2 papers), Sleep and Work-Related Fatigue (2 papers), Lung Cancer Research Studies (2 papers) and Bone health and treatments (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (165 citations), Experimental and Cognitive Psychology (274 citations), Rheumatology (288 citations), Immunology (218 citations) and Orthopedics and Sports Medicine (75 citations). M. Li has collaborated with scholars based in China, Hong Kong and Netherlands. Frequent co-authors include Feng Wang, Lap Ah Tse, Tracy Y. Zhu, Lai‐Shan Tam, T. K. Li, E. K. Li, E. M. C. Lau, Gary Tse, Jean Woo and Jelle Vlaanderen. Their work appears in journals such as Lara D. Veeken, Obesity Reviews, Japanese Journal of Clinical Oncology, Archives of Biochemistry and Biophysics and Bone.

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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