Kun Huang

3.2k total citations
53 papers, 2.5k citations indexed

About

Kun Huang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Epidemiology. According to data from OpenAlex, Kun Huang has authored 53 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Cellular and Molecular Neuroscience and 14 papers in Epidemiology. Recurrent topics in Kun Huang's work include Inflammatory Myopathies and Dermatomyositis (9 papers), Genetic Neurodegenerative Diseases (7 papers) and Neuroscience and Neuropharmacology Research (7 papers). Kun Huang is often cited by papers focused on Inflammatory Myopathies and Dermatomyositis (9 papers), Genetic Neurodegenerative Diseases (7 papers) and Neuroscience and Neuropharmacology Research (7 papers). Kun Huang collaborates with scholars based in Canada, United States and China. Kun Huang's 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 and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Kun Huang

50 papers receiving 2.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kun Huang Canada 20 1.5k 1.0k 607 240 195 53 2.5k
Hiroko Yano United States 23 1.5k 1.0× 1.3k 1.3× 409 0.7× 143 0.6× 204 1.0× 56 2.8k
Ralf S. Schmid United States 23 1.2k 0.8× 703 0.7× 498 0.8× 103 0.4× 168 0.9× 35 2.4k
Åsa Fransson Sweden 11 1.9k 1.3× 433 0.4× 594 1.0× 281 1.2× 282 1.4× 13 2.4k
Dianna E. Willis United States 30 2.4k 1.6× 1.7k 1.7× 647 1.1× 108 0.5× 318 1.6× 53 3.7k
James M. Angelastro United States 26 1.5k 1.0× 367 0.4× 691 1.1× 272 1.1× 154 0.8× 49 2.2k
Daniel P. Seeburg United States 16 1.4k 1.0× 570 0.6× 293 0.5× 147 0.6× 259 1.3× 26 2.2k
Franca Codazzi Italy 25 1.1k 0.7× 432 0.4× 348 0.6× 141 0.6× 257 1.3× 54 2.1k
Amparo Acker‐Palmer Germany 31 1.7k 1.2× 1.0k 1.0× 527 0.9× 71 0.3× 237 1.2× 58 3.0k
Gesine Saher Germany 25 1.5k 1.0× 552 0.6× 405 0.7× 295 1.2× 426 2.2× 36 2.9k
Susan O. Meakin Canada 29 1.8k 1.2× 1.5k 1.5× 384 0.6× 79 0.3× 335 1.7× 64 3.2k

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-authorship network of co-authors of Kun Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Huang. A scholar is included among the top collaborators of Kun Huang 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 Kun Huang. Kun Huang 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
1.
Huang, Kun, et al.. (2025). Successful Guselkumab Treatment in a Patient with Comorbid Psoriasis and Amyotrophic Lateral Sclerosis: A Case Study and Literature Review. Clinical Cosmetic and Investigational Dermatology. Volume 18. 735–741. 1 indexed citations
2.
Chen, Aijun, Kun Huang, Shoumin Zhu, et al.. (2024). Prevalence, outcomes and associated factors of SARS-CoV-2 infection in psoriasis patients of Southwest China: a cross-sectional survey. Scientific Reports. 14(1). 6331–6331. 3 indexed citations
4.
Huang, Kun, et al.. (2024). Laparoscopic liver resection utilizing the ventral avascular area of the inferior vena cava: A retrospective cohort study. World Journal of Gastroenterology. 31(1). 100750–100750.
5.
Tan, Julia, et al.. (2023). Tofacitinib therapy in refractory inflammatory myositis: a retrospective cohort study of 41 patients. Lara D. Veeken. 63(5). 1432–1436. 13 indexed citations
6.
Storey, Susan, et al.. (2022). Differences in Health-Related Outcomes and Health Care Resource Utilization in Breast Cancer Survivors With and Without Type 2 Diabetes. SHILAP Revista de lepidopterología. 9(1). 15–23. 3 indexed citations
7.
Hu, Li, et al.. (2021). Risk factors related to postoperative recurrence of dermatofibrosarcoma protuberans: A retrospective study and literature review. World Journal of Clinical Cases. 9(20). 5442–5452. 9 indexed citations
8.
Li, Lingyi, Kristin M. D’Silva, Na Lu, et al.. (2020). Mortality trends in polymyositis and dermatomyositis: A general population-based study. Seminars in Arthritis and Rheumatism. 50(5). 834–839. 9 indexed citations
9.
Huang, Kun, Ophir Vinik, Kam Shojania, et al.. (2019). Clinical spectrum and therapeutics in Canadian patients with anti-melanoma differentiation-associated gene 5 (MDA5)-positive dermatomyositis: a case-based review. Rheumatology International. 39(11). 1971–1981. 65 indexed citations
10.
Huang, Kun, et al.. (2017). Laryngeal stridor in rheumatoid arthritis. Canadian Medical Association Journal. 189(38). E1213–E1213. 1 indexed citations
11.
Aviña‐Zubieta, J. Antonio, Ada Man, Marko Yurkovich, et al.. (2015). Early Cardiovascular Disease After the Diagnosis of Systemic Sclerosis. The American Journal of Medicine. 129(3). 324–331. 43 indexed citations
12.
Taggart, David J., Terry Camerlengo, Shanen M. Sherrer, et al.. (2013). A high-throughput and quantitative method to assess the mutagenic potential of translesion DNA synthesis. Nucleic Acids Research. 41(8). e96–e96. 8 indexed citations
13.
Huang, Kun, Shaun S. Sanders, Rujun Kang, et al.. (2011). Wild-type HTT modulates the enzymatic activity of the neuronal palmitoyl transferase HIP14. Human Molecular Genetics. 20(17). 3356–3365. 71 indexed citations
14.
Arstikaitis, Pamela, et al.. (2011). Proteins That Promote Filopodia Stability, but Not Number, Lead to More Axonal-Dendritic Contacts. PLoS ONE. 6(3). e16998–e16998. 18 indexed citations
15.
Verpelli, Chiara, Giovanni Piccoli, Cristina Zibetti, et al.. (2010). Synaptic Activity Controls Dendritic Spine Morphology by Modulating eEF2-Dependent BDNF Synthesis. Journal of Neuroscience. 30(17). 5830–5842. 128 indexed citations
16.
Kang, Rujun, Junmei Wan, Pamela Arstikaitis, et al.. (2008). Neural palmitoyl-proteomics reveals dynamic synaptic palmitoylation. Nature. 456(7224). 904–909. 450 indexed citations
17.
Arstikaitis, Pamela, Carolina Gutierrez Herrera, Kun Huang, et al.. (2008). Paralemmin-1, a Modulator of Filopodia Induction Is Required for Spine Maturation. Molecular Biology of the Cell. 19(5). 2026–2038. 44 indexed citations
18.
Huang, Kun & Alaa El‐Husseini. (2005). Modulation of neuronal protein trafficking and function by palmitoylation. Current Opinion in Neurobiology. 15(5). 527–535. 115 indexed citations
19.
Huang, Kun, Anat Yanai, Rujun Kang, et al.. (2004). Huntingtin-Interacting Protein HIP14 Is a Palmitoyl Transferase Involved in Palmitoylation and Trafficking of Multiple Neuronal Proteins. Neuron. 44(6). 977–986. 258 indexed citations
20.
Nemoto, Tooru, et al.. (2000). HIV Risk Behaviors Among Asian Drug Users in San Francisco. AIDS Education and Prevention. 12(2). 126–140. 12 indexed citations

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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