Meiling Yu

433 citations
31 papers · 303 · h-index 11

Impact in

Papers in

Meiling Yu

28 papers receiving 302 citations

Peers

Meiling Yu
Comparison fields: 5 of 68
  • Complementary and alternative medicine 153
  • Neurology 46
  • Biological Psychiatry 12
  • Developmental Neuroscience 13
  • Behavioral Neuroscience 11
Replace Kamal Ranjbar with:
Kamal Ranjbar Iran
Cai D China
Rubo Sui China
Yongqiang Wang China
Yingling Xu China
Jorge Beleza Portugal
Ai‐Lun Yang Taiwan
Renáta Szabó Hungary
Virginie Bolduc Canada
Fernando da Silva Fiorin Brazil
Meiling Yu relative to Kamal Ranjbar Iran Kamal Ranjbar's profile →
Citations per field
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Citations per year

Countries citing papers authored by Meiling Yu

Since Specialization
Citations

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

Fields of papers citing papers by Meiling Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202042
2 202031
3 201029
4 201629
5 202122
6 201721
7 201917
8 201715
9 201615
10 201913
11 202112
12 20187
13 20137
14 20226
15 20246
16 20245
17 20215
18 20185
19
[Considerations about study on mechanisms of thermal efficacies of moxibustion from activities of transient receptor potential family].
20123
20 20193

About Meiling Yu

Meiling Yu is a scholar working on Complementary and alternative medicine, Physiology, Molecular Biology, Cardiology and Cardiovascular Medicine and Neurology, having authored 31 papers that have together received 303 indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (21 papers), Traditional Chinese Medicine Studies (6 papers), Healthcare and Venom Research (3 papers), Vagus Nerve Stimulation Research (3 papers), Adenosine and Purinergic Signaling (2 papers), Anesthesia and Neurotoxicity Research (2 papers), Adipose Tissue and Metabolism (2 papers) and Medical Research and Treatments (2 papers). The work is most often cited by research in Complementary and alternative medicine (153 citations), Neurology (46 citations), Biological Psychiatry (12 citations), Developmental Neuroscience (13 citations) and Behavioral Neuroscience (11 citations). Meiling Yu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shu-Ping Fu, Sheng-Feng Lu, S. Lu, Xin Yu, Bing‐Mei Zhu, Jun‐Meng Wang, Zhigang Lu, Fenfen Qin, Yi Qian and Jing Yuan. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Gene, Scientific Reports, Frontiers in Psychiatry and Renal Failure.

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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