Renyu Liu

130 papers receiving 2.5k citations

Peers

Renyu Liu
Comparison fields: 5 of 148
  • Anesthesiology and Pain Medicine 274
  • Developmental Neuroscience 138
  • Cellular and Molecular Neuroscience 534
  • Internal Medicine 83
  • Rehabilitation 149
Replace James E. Frampton with:
James E. Frampton New Zealand
Masataka Yokoyama Japan
Colin J.D. Ross Canada
Masayuki Niwa Japan
Donna McTavish New Zealand
Manfred Thiel Germany
Andrew J. Taylor Australia
Paul J. Feustel United States
Hans G. Kress Austria
Jonathan Moss United States
Renyu Liu relative to James E. Frampton New Zealand James E. Frampton's profile →
Citations per field
00.5×3.3×
James E. Frampton · 1×
Citations per year

Countries citing papers authored by Renyu Liu

Since Specialization
Citations

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

Fields of papers citing papers by Renyu Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20241
5 20241
6 20233
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9 202318
10 20213
11 20214
12 202010
13 20204
14 20200
15 202016
16 201926
17 20196
18 20141
19 201228
20
Evaluation of Exhaled Nitric Oxide in Thoracic Surgery Patients under One Lung Ventilation Using a Newly De- signed Online Exhaled Nitric Oxide Measuring System
20031

About Renyu Liu

Renyu Liu is a scholar working on Anesthesiology and Pain Medicine, Rehabilitation, Developmental Neuroscience, Cellular and Molecular Neuroscience and Internal Medicine, having authored 137 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (31 papers), Receptor Mechanisms and Signaling (26 papers), Acute Ischemic Stroke Management (24 papers), Stroke Rehabilitation and Recovery (17 papers), Pharmacological Receptor Mechanisms and Effects (16 papers), Anesthesia and Neurotoxicity Research (9 papers), Neuroscience and Neuropharmacology Research (8 papers) and Computational Drug Discovery Methods (7 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (274 citations), Developmental Neuroscience (138 citations), Cellular and Molecular Neuroscience (534 citations), Internal Medicine (83 citations) and Rehabilitation (149 citations). Renyu Liu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Roderic G. Eckenhoff, Xi Jin, Jing Zhao, Patrick J. Loll, Jeffery G. Saven, Yuichi Ishibe, Marc Fisher, Ying Shen, Xuan Liang and David Kung. Their work appears in journals such as Anesthesia & Analgesia, Anesthesiology, CNS Neuroscience & Therapeutics, PLoS ONE and Journal of Clinical Anesthesia.

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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2026