Kuei-chun Hung

612 total citations
10 papers, 502 citations indexed

About

Kuei-chun Hung is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology. According to data from OpenAlex, Kuei-chun Hung has authored 10 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 8 papers in Physiology and 7 papers in Molecular Biology. Recurrent topics in Kuei-chun Hung's work include Neuropeptides and Animal Physiology (9 papers), Pain Mechanisms and Treatments (8 papers) and Receptor Mechanisms and Signaling (6 papers). Kuei-chun Hung is often cited by papers focused on Neuropeptides and Animal Physiology (9 papers), Pain Mechanisms and Treatments (8 papers) and Receptor Mechanisms and Signaling (6 papers). Kuei-chun Hung collaborates with scholars based in United States, Japan and Netherlands. Kuei-chun Hung's co-authors include Nita H. Salzman, David Unold, Nicolaas A. Bos, El-ad David Amir, Leon F. Tseng, Hsiang-En Wu, Hirokazu Mizoguchi, Randy J. Leitermann, Maia Terashvili and Hiroshi Nagase and has published in prestigious journals such as Infection and Immunity, Journal of Pharmacology and Experimental Therapeutics and European Journal of Pharmacology.

In The Last Decade

Kuei-chun Hung

10 papers receiving 496 citations

Peers

Kuei-chun Hung
Comparison fields: 5 of 74
  • Molecular Biology 295
  • Physiology 136
  • Cellular and Molecular Neuroscience 131
  • Infectious Diseases 125
  • Food Science 111
Replace Atsuo Nakamura with:
Atsuo Nakamura Japan
Lucia Fenicia Italy
María C. López United States
Ritu Garg India
Adriana Jarillo‐Luna Mexico
J F Desjeux France
Agata A. Bielecka Germany
L M McCroskey United States
Janet Håkansson Sweden
Ewa Johansson Sweden
Atsuo Nakamura Japan View profile →
Citations per field, relative to Kuei-chun Hung
Kuei-chun Hung · 1×
Citations per year, relative to Kuei-chun Hung
Kuei-chun Hung · 1×

Countries citing papers authored by Kuei-chun Hung

Since Specialization
Citations

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

Fields of papers citing papers by Kuei-chun Hung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuei-chun Hung. 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 Kuei-chun Hung. The network helps show where Kuei-chun Hung may publish in the future.

Co-authorship network of co-authors of Kuei-chun Hung

This figure shows the co-authorship network connecting the top 25 collaborators of Kuei-chun Hung. A scholar is included among the top collaborators of Kuei-chun Hung 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 Kuei-chun Hung. Kuei-chun Hung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
# Work Indexed citations
1 16
2 334
3 28
4 15
5 12
6 30
7 21
8 8
9 16
10 22

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