Beihui Liu

1.3k citations
28 papers · 991 · h-index 20

Impact in

Papers in

Beihui Liu

28 papers receiving 965 citations

Peers

Beihui Liu
Comparison fields: 5 of 98
  • Endocrine and Autonomic Systems 206
  • Neurology 160
  • Cellular and Molecular Neuroscience 277
  • Developmental Neuroscience 62
  • Biological Psychiatry 25
Replace Takeshi Y. Hiyama with:
Takeshi Y. Hiyama Japan
Cristina Missale Italy
Margaret M. Koletar Canada
Pedro Nunez‐Abades Spain
Wannan Tang Germany
Supriti Samantaray United States
Meritxell Pons‐Espinal Spain
Antonio R. Artalejo Spain
Seng Kee Leong Singapore
Beihui Liu relative to Takeshi Y. Hiyama Japan Takeshi Y. Hiyama's profile →
Citations per field
00.5×3.6×
Takeshi Y. Hiyama · 1×
Citations per year

Countries citing papers authored by Beihui Liu

Since Specialization
Citations

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

Fields of papers citing papers by Beihui Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201789
2 201888
3 200786
4 201868
5 201867
6 200864
7 200058
8 201758
9 201455
10 201748
11 201037
12 200832
13 199930
14 200925
15 201225
16 201423
17 201323
18 199921
19 201519
20 199719

About Beihui Liu

Beihui Liu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Biomedical Engineering, Cardiology and Cardiovascular Medicine and Endocrine and Autonomic Systems, having authored 28 papers that have together received 991 indexed citations. Recurring topics across this work include Biofuel production and bioconversion (6 papers), Neuroscience and Neuropharmacology Research (5 papers), RNA Interference and Gene Delivery (4 papers), Virus-based gene therapy research (3 papers), Renin-Angiotensin System Studies (3 papers), Receptor Mechanisms and Signaling (3 papers), Neuroscience of respiration and sleep (3 papers) and Algal biology and biofuel production (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (206 citations), Neurology (160 citations), Cellular and Molecular Neuroscience (277 citations), Developmental Neuroscience (62 citations) and Biological Psychiatry (25 citations). Beihui Liu has collaborated with scholars based in United Kingdom, China and Russia. Frequent co-authors include Sergey Kasparov, Anja G. Teschemacher, Julian F. R. Paton, Yuan Kun Lee, Zuohu Li, Hidefumi Waki, M. Miyake, Kiyoaki Katahira, David Murphy and Valentina Mosienko. Their work appears in journals such as Biotechnology Letters, Glia, Cardiovascular Research, Process Biochemistry and BMC 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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