Man Li

184 papers receiving 4.8k citations

Man Li's Hit Papers

Interleukin-6: an emerging regulator of pathological pain 2016 · 328 citations
3280+3+6Years since publication100200300

Peers

Man Li
Comparison fields: 5 of 159
  • Complementary and alternative medicine 506
  • Physiology 1.1k
  • Biological Psychiatry 100
  • Neurology 270
  • Cellular and Molecular Neuroscience 556
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Daniel Pens Gelain Brazil
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Rosalba Siracusa Italy
Yi‐Wen Lin Taiwan
Carolina Muscoli Italy
Osamu Shido Japan
Jin Han South Korea
Yan Gao China
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Man Li relative to Daniel Pens Gelain Brazil Daniel Pens Gelain's profile →
Citations per field
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Daniel Pens Gelain · 1×
Citations per year

Countries citing papers authored by Man Li

Since Specialization
Citations

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

Fields of papers citing papers by Man Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 198 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Interleukin-6: an emerging regulator of pathological pain
Hit paper breakdown →
2016328
2 2014255
3 2019196
4 2016180
5 2013119
6 2017110
7 2006107
8 2011101
9 202094
10 201788
11 200781
12 201980
13 201478
14 201677
15 201173
16 201871
17 200968
18 201167
19 201164
20 201560

About Man Li

Man Li is a scholar working on Physiology, Molecular Biology, Cellular and Molecular Neuroscience, Complementary and alternative medicine and Pharmacology, having authored 198 papers that have together received 4.9k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (30 papers), Acupuncture Treatment Research Studies (17 papers), Food composition and properties (10 papers), Cannabis and Cannabinoid Research (9 papers), Tryptophan and brain disorders (9 papers), Dermatology and Skin Diseases (8 papers), Neuroscience and Neuropharmacology Research (6 papers) and Axon Guidance and Neuronal Signaling (6 papers). The work is most often cited by research in Complementary and alternative medicine (506 citations), Physiology (1.1k citations), Biological Psychiatry (100 citations), Neurology (270 citations) and Cellular and Molecular Neuroscience (556 citations). Man Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hui‐Lin Pan, Jing Shi, Hong-Chun Xiang, Qingjie Sun, Yuke Tian, Zhiheng Liu, Dawei Ye, Zheng Liu, Shuping Chen and Ya‐Qun Zhou. Their work appears in journals such as Molecular Pain, Molecular Neurobiology, Frontiers in Pharmacology, Chinese Medicine and Journal of Pain Research.

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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