Yan Lü

3.5k citations
82 papers · 2.7k · h-index 28

Impact in

  • Physiology top 2%
    • Pain Mechanisms and Treatments
  • Neurology top 2%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Yan Lü

78 papers receiving 2.7k citations

Peers

Yan Lü
Comparison fields: 5 of 115
  • Physiology 959
  • Neurology 282
  • Biochemistry 240
  • Cellular and Molecular Neuroscience 586
  • Nutrition and Dietetics 433
Replace Valerio Chiurchiù with:
Valerio Chiurchiù Italy
Senthilkumar S. Karuppagounder United States
William F. Jackson United States
Toshikatsu Okumura Japan
Yoshio Tsuboi Japan
Takao Takeshima Japan
Giorgio Fanò Italy
Ye‐Bo Zhou China
Xingshun Xu China
Inés Armando United States
Yan Lü relative to Valerio Chiurchiù Italy Valerio Chiurchiù's profile →
Citations per field
00.5×1.5×1.8×
Valerio Chiurchiù · 1×
Citations per year

Countries citing papers authored by Yan Lü

Since Specialization
Citations

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

Fields of papers citing papers by Yan Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006316
2 2003221
3 2013218
4 2005189
5 2010121
6 2011117
7 2013102
8 2008100
9 200791
10 201290
11 201084
12 201367
13 199763
14 200762
15 201760
16 201957
17 201051
18 201046
19 201944
20 201343

About Yan Lü

Yan Lü is a scholar working on Physiology, Molecular Biology, Cellular and Molecular Neuroscience, Oncology and Neurology, having authored 82 papers that have together received 2.7k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (21 papers), Neuropeptides and Animal Physiology (8 papers), Neuroscience and Neuropharmacology Research (7 papers), Barrier Structure and Function Studies (4 papers), Fatty Acid Research and Health (4 papers), Nitric Oxide and Endothelin Effects (4 papers), Veterinary Equine Medical Research (3 papers) and Mesenchymal stem cell research (3 papers). The work is most often cited by research in Physiology (959 citations), Neurology (282 citations), Biochemistry (240 citations), Cellular and Molecular Neuroscience (586 citations) and Nutrition and Dietetics (433 citations). Yan Lü has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Edward R. Perl, Song Hong, Lize Xiong, Charles N. Serhan, Hailong Dong, Jihong Zheng, Axel Dignaß, Karsten H. Weylandt, Jingdong Wang and Jing X. Kang. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Pain Research, Diagnostic Pathology, The Journal of Physiology and Brain 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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