Huayan Li

486 citations
22 papers · 339 · h-index 9

Impact in

Papers in

Huayan Li

20 papers receiving 333 citations

Peers

Huayan Li
Comparison fields: 5 of 84
  • Sensory Systems 30
  • Obstetrics and Gynecology 27
  • Neurology 27
  • Biological Psychiatry 7
  • Neurology 34
Replace Vasiliki Staikopoulos with:
Vasiliki Staikopoulos Australia
Jingyin Dong China
Ling Nga Chan Hong Kong
Harrison J. Stratton United States
Meysam Hassani Moghaddam Iran
Maryam Soleimani Iran
Zuoming Zhang China
Hebert Luís Hernández-Montiel Mexico
Xinjia Han China
Shayne Hassler United States
Huayan Li relative to Vasiliki Staikopoulos Australia Vasiliki Staikopoulos's profile →
Citations per field
00.5×5.4×
Vasiliki Staikopoulos · 1×
Citations per year

Countries citing papers authored by Huayan Li

Since Specialization
Citations

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

Fields of papers citing papers by Huayan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202287
2 201773
3 202142
4 202236
5 202231
6 202013
7 202310
8 20238
9 20188
10 20256
11 20215
12 20234
13 20243
14 20243
15 20242
16 20232
17 20242
18 20142
19 20221
20 20151

About Huayan Li

Huayan Li is a scholar working on Surgery, Oncology, Neurology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 339 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Olfactory and Sensory Function Studies (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Circadian rhythm and melatonin (2 papers), Allergic Rhinitis and Sensitization (1 paper), Endometriosis Research and Treatment (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Sensory Systems (30 citations), Obstetrics and Gynecology (27 citations), Neurology (27 citations), Biological Psychiatry (7 citations) and Neurology (34 citations). Huayan Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jinfeng Duan, Lei Xiong, Dongdong Qin, Yuanyuan Wei, Meng Li, Bojun Chen, Gang Li, Qian Chen, Qi Yang and Edward Rockenstein. Their work appears in journals such as Frontiers in Pharmacology, Frontiers in Cellular Neuroscience, Frontiers in Genetics, Advanced Materials and Frontiers in Bioengineering and Biotechnology.

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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