Fei Lin

18 papers receiving 302 citations

Peers

Fei Lin
Comparison fields: 5 of 64
  • Critical Care and Intensive Care Medicine 75
  • Developmental Neuroscience 46
  • Anesthesiology and Pain Medicine 27
  • Neurology 35
  • Immunology 60
Replace Andrew C. Pearson with:
Andrew C. Pearson United States
Kohei Godai Japan
Akira Utagawa Japan
Wei Chai China
Soichiro Mimuro Japan
Seong‐Won Min South Korea
Jeff Jacobson United States
Zifeng Xu China
Berit H. Munkeby Norway
Fei Lin relative to Andrew C. Pearson United States Andrew C. Pearson's profile →
Citations per field
00.5×
Andrew C. Pearson · 1×
Citations per year

Countries citing papers authored by Fei Lin

Since Specialization
Citations

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

Fields of papers citing papers by Fei Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 202154
2 201842
3 202040
4 201733
5 202031
6 201921
7 201917
8 201816
9
Comparison of three ventilatory modes during one-lung ventilation in elderly patients.
201512
10 202011
11 201410
12 20209
13
[Alveolar macrophage TLR4/MyD88 signaling pathway contributes to ventilator-induced lung injury in rats].
20153
14 20203
15 20242
16 20161
17 20201
18 20141

About Fei Lin

Fei Lin is a scholar working on Pulmonary and Respiratory Medicine, Critical Care and Intensive Care Medicine, Developmental Neuroscience, Cardiology and Cardiovascular Medicine and Anesthesiology and Pain Medicine, having authored 18 papers that have together received 307 indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (5 papers), Intensive Care Unit Cognitive Disorders (5 papers), Anesthesia and Neurotoxicity Research (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Anesthesia and Sedative Agents (2 papers), Immune Response and Inflammation (2 papers), Neonatal Respiratory Health Research (2 papers) and Foot and Ankle Surgery (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (75 citations), Developmental Neuroscience (46 citations), Anesthesiology and Pain Medicine (27 citations), Neurology (35 citations) and Immunology (60 citations). Fei Lin has collaborated with scholars based in China and United States. Frequent co-authors include Huijun Dai, Wanyun Ge, Linghui Pan, Zhiyi Zuo, Jinyuan Lin, Linghui Pan, Weiran Shan, Xueke Du, Cuiyuan Huang and Huimei Huang. Their work appears in journals such as Journal of Orthopaedic Surgery and Research, Neural Plasticity, International Immunopharmacology, BioMed Research International and PLoS ONE.

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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