Renhao Liu

1.1k citations
44 papers · 818 · h-index 18

Impact in

Papers in

Renhao Liu

41 papers receiving 802 citations

Peers

Renhao Liu
Comparison fields: 5 of 135
  • Neurology 79
  • Behavioral Neuroscience 34
  • Cellular and Molecular Neuroscience 119
  • Metals and Alloys 15
  • Physiology 130
Replace Takashi Iwai with:
Takashi Iwai Japan
Yi-Ling Chen United States
Joohwi Lee South Korea
Tsuyoshi Nishimura Japan
Atsushi Kimura Japan
Libo Zhang China
Jinchen Li China
Tadaho Nakamura Japan
Renhao Liu relative to Takashi Iwai Japan Takashi Iwai's profile →
Citations per field
00.5×7.4×
Takashi Iwai · 1×
Citations per year

Countries citing papers authored by Renhao Liu

Since Specialization
Citations

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

Fields of papers citing papers by Renhao Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021144
2 201776
3 201760
4 202056
5 201929
6 202329
7 201628
8 201926
9 202321
10 202021
11 202420
12 202219
13 202419
14 202119
15 202419
16 201718
17 201718
18 202017
19 202216
20 202416

About Renhao Liu

Renhao Liu is a scholar working on Biomedical Engineering, Materials Chemistry, Electrical and Electronic Engineering, Molecular Biology and Cellular and Molecular Neuroscience, having authored 44 papers that have together received 818 indexed citations. Recurring topics across this work include Advanced Surface Polishing Techniques (12 papers), Corrosion Behavior and Inhibition (9 papers), Neuroscience and Neuropharmacology Research (4 papers), Pain Mechanisms and Treatments (3 papers), Advanced materials and composites (3 papers), Neuroendocrine regulation and behavior (2 papers), Advanced Neural Network Applications (2 papers) and Metal Extraction and Bioleaching (2 papers). The work is most often cited by research in Neurology (79 citations), Behavioral Neuroscience (34 citations), Cellular and Molecular Neuroscience (119 citations), Metals and Alloys (15 citations) and Physiology (130 citations). Renhao Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Min Zhuo, Xu‐Hui Li, Lawrence Hall, Man Xue, Dmitry B. Goldgof, Robert A. Gatenby, Qi‐Yu Chen, Xinyu Han, Fangyuan Wang and Tao Chen. Their work appears in journals such as Molecular Pain, Journal of Molecular Liquids, Colloids and Surfaces A Physicochemical and Engineering Aspects, Molecular Brain and Cellular Physiology and Biochemistry.

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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