Guohong Cai

1.4k citations
38 papers · 1.1k indexed · 1 hit paper · h-index 16
Topics
Pain Mechanisms and Treatments (11 papers)Neuroscience and Neuropharmacology Research (7 papers)Stress Responses and Cortisol (4 papers)

In The Last Decade

Guohong Cai

38 papers receiving 1.1k citations

Hit Papers

Astroglial Kir4.1 in the lateral habenula drives neuronal...20182026202020232018100200300400

Peers

Guohong Cai
Comparison fields: 5 of 97
  • Cellular and Molecular Neuroscience 348
  • Molecular Biology 314
  • Physiology 167
  • Hepatology 159
  • Biological Psychiatry 156
Replace Shenghua Zhu with:
Shenghua Zhu China
Iddo Magen Israel
Chenju Yi China
Giovanna Mulas Italy
Masoud Haghani Iran
Kazuhiko Nakadate Japan
Dan Song China
Kiren Ubhi United States
Felipe Serrano Chile
Hans‐J. Bidmon Germany
Guohong Cai relative to Shenghua Zhu China Shenghua Zhu's profile →
Citations per field
00.5×3.1×
Shenghua Zhu · 1×
Citations per year

Countries citing papers authored by Guohong Cai

Since Specialization
Citations

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

Fields of papers citing papers by Guohong Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guohong Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Guohong Cai. A scholar is included among the top collaborators of Guohong Cai 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 Guohong Cai. Guohong Cai 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 3
2 1
3 7
4 4
5 10
6 13
7 13
8 17
9 1
10 14
11 15
12 2
13 16
14 36
15 13
16
Astroglial Kir4.1 in the lateral habenula drives neuronal bursts in depressionbreakdown →
437
17 1
18 26
19 8
20 83

About Guohong Cai

Guohong Cai is a scholar working on Behavioral Neuroscience, Biological Psychiatry and Hepatology, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (11 papers), Neuroscience and Neuropharmacology Research (7 papers) and Stress Responses and Cortisol (4 papers). The work is most often cited by research in Biological Psychiatry (156 citations), Behavioral Neuroscience (104 citations) and Hepatology (159 citations). Guohong Cai has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Shengxi Wu, Yiyan Dong, Alexandre Foncelle, Hailan Hu, Hugues Berry, Shuangshuang Ma, Ying Shen, Siyang Tang, Yan Yang and Yihui Cui. Their work appears in journals such as Nature, Journal of Clinical Investigation 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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