Kun Huang

3.3k citations
53 papers · 2.5k · h-index 20

Impact in

Papers in

Kun Huang

50 papers receiving 2.5k citations

Peers

Kun Huang
Comparison fields: 5 of 102
  • Cellular and Molecular Neuroscience 981
  • Cell Biology 588
  • Developmental Neuroscience 104
  • Molecular Biology 1.4k
  • Neurology 137
Replace Jim Dompierre with:
Jim Dompierre France
Daniel P. Seeburg United States
James M. Angelastro United States
Byoung-Il Bae United States
Yasukazu Hozumi Japan
Blaise Bossy United States
Hiroko Yano United States
T Noda Japan
Paul S. Amieux United States
Abigail S. Hackam United States
Kun Huang relative to Jim Dompierre France Jim Dompierre's profile →
Citations per field
00.5×2.8×
Jim Dompierre · 1×
Citations per year

Countries citing papers authored by Kun Huang

Since Specialization
Citations

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

Fields of papers citing papers by Kun Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008453
2 2004259
3 2006252
4 2005219
5 2010131
6 2009129
7 2017125
8 2005115
9 201194
10 200894
11 201083
12 201172
13 201967
14 200845
15 201543
16 202031
17 201825
18 201124
19 201221
20 201819

About Kun Huang

Kun Huang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Epidemiology, Pulmonary and Respiratory Medicine and Cell Biology, having authored 53 papers that have together received 2.5k indexed citations. Recurring topics across this work include Inflammatory Myopathies and Dermatomyositis (9 papers), Neuroscience and Neuropharmacology Research (7 papers), Genetic Neurodegenerative Diseases (7 papers), Mitochondrial Function and Pathology (6 papers), Muscle Physiology and Disorders (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Cellular transport and secretion (3 papers) and Psoriasis: Treatment and Pathogenesis (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (981 citations), Cell Biology (588 citations), Developmental Neuroscience (104 citations), Molecular Biology (1.4k citations) and Neurology (137 citations). Kun Huang has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Alaa El‐Husseini, Rujun Kang, Pamela Arstikaitis, Michael R. Hayden, Roshni R. Singaraja, Alaa El-Husseini, Junmei Wan, Renaldo C. Drisdel, Anat Yanai and Nicholas G. Davis. Their work appears in journals such as Lara D. Veeken, PLoS ONE, Journal of Biological Chemistry, Human Molecular Genetics and Canadian Medical Association Journal.

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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