Guochun Liao

3.5k citations
26 papers · 2.7k indexed · 1 hit paper · h-index 23
Topics
Pain Mechanisms and Treatments (5 papers)Pharmacological Effects of Natural Compounds (5 papers)Neuropeptides and Animal Physiology (5 papers)

In The Last Decade

Guochun Liao

26 papers receiving 2.6k citations

Hit Papers

The BDGP Gene Disruption Project20042026201120182004200400600

Peers

Guochun Liao
Comparison fields: 5 of 124
  • Molecular Biology 1.6k
  • Cellular and Molecular Neuroscience 537
  • Genetics 407
  • Plant Science 351
  • Physiology 326
Replace Tae Hoon Kim with:
Tae Hoon Kim South Korea
Anne Danckaert France
James R. Lundblad United States
Susan J. Birren United States
Yuan Zhu China
Bruce J. Nicholson United States
Lujian Liao United States
Li He China
Hiroshi Shitara Japan
Guochun Liao relative to Tae Hoon Kim South Korea Tae Hoon Kim's profile →
Citations per field
00.5×1.5×1.8×
Tae Hoon Kim · 1×
Citations per year

Countries citing papers authored by Guochun Liao

Since Specialization
Citations

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

Fields of papers citing papers by Guochun Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guochun Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Guochun Liao. A scholar is included among the top collaborators of Guochun Liao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guochun Liao. Guochun Liao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 122
2 77
3 36
4 34
5 62
6 44
7 13
8 110
9 30
10 43
11 53
12 56
13 52
14 96
15 46
16 52
17 164
18 341
19 87
20 185

About Guochun Liao

Guochun Liao is a scholar working on Pharmacology, Cellular and Molecular Neuroscience and Physiology, having authored 26 papers that have together received 2.7k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (5 papers), Pharmacological Effects of Natural Compounds (5 papers) and Neuropeptides and Animal Physiology (5 papers). The work is most often cited by research in Aging (77 citations), Cellular and Molecular Neuroscience (537 citations) and Molecular Biology (1.6k citations). Guochun Liao has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Gerald M. Rubin, Gary Peltz, Uwe Ohler, Heinrich Niemann, Allan C. Spradling, P. Robin Hiesinger, Yuchun He, Robert Levis, Martha Evans-Holm and Karen L. Schulze. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Cell Biology.

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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