Feng Liang

1.2k citations
32 papers · 847 · h-index 18

Impact in

Papers in

Feng Liang

32 papers receiving 825 citations

Peers

Feng Liang
Comparison fields: 5 of 77
  • Developmental Neuroscience 212
  • Critical Care and Intensive Care Medicine 190
  • Anesthesiology and Pain Medicine 100
  • Biological Psychiatry 32
  • Neurology 63
Replace Anna Carnini with:
Anna Carnini Canada
Ling-Sha Ju China
Ming‐Yang Lee Taiwan
Tomio Andoh Japan
Tuomas O. Lilius Finland
Rishma Vidyasagar United Kingdom
Ingemar Jacobson Sweden
I. Jacobson Sweden
Yilong Cui Japan
Feng Liang relative to Anna Carnini Canada Anna Carnini's profile →
Citations per field
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Anna Carnini · 1×
Citations per year

Countries citing papers authored by Feng Liang

Since Specialization
Citations

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

Fields of papers citing papers by Feng Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201493
2 201690
3 201767
4 201761
5 201547
6 202145
7 202144
8 201538
9 202238
10 202336
11 202330
12 202030
13 201621
14 201619
15 201919
16 202018
17 201618
18 201417
19 202316
20 202015

About Feng Liang

Feng Liang is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Critical Care and Intensive Care Medicine, Physiology and Molecular Biology, having authored 32 papers that have together received 847 indexed citations. Recurring topics across this work include Anesthesia and Neurotoxicity Research (12 papers), Intensive Care Unit Cognitive Disorders (10 papers), Alzheimer's disease research and treatments (8 papers), Anesthesia and Sedative Agents (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Neuroscience and Neuropharmacology Research (6 papers), Plasmonic and Surface Plasmon Research (4 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Developmental Neuroscience (212 citations), Critical Care and Intensive Care Medicine (190 citations), Anesthesiology and Pain Medicine (100 citations), Biological Psychiatry (32 citations) and Neurology (63 citations). Feng Liang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Qimin Quan, Zhongcong Xie, Yuanlin Dong, Mengchao Cui, Jiapei Dai, Kaixiang Zhou, Shaocong Hou, Yuzheng Guo, Guang Yang and Hongcun Bai. Their work appears in journals such as Anesthesia & Analgesia, Alzheimer s & Dementia, Scientific Reports, British Journal of Anaesthesia and Annals of Surgery.

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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