Chong Yan

1.4k total citations
75 papers, 901 citations indexed

About

Chong Yan is a scholar working on Neurology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Chong Yan has authored 75 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Neurology, 16 papers in Molecular Biology and 12 papers in Infectious Diseases. Recurrent topics in Chong Yan's work include Myasthenia Gravis and Thymoma (34 papers), Peripheral Neuropathies and Disorders (21 papers) and Antifungal resistance and susceptibility (10 papers). Chong Yan is often cited by papers focused on Myasthenia Gravis and Thymoma (34 papers), Peripheral Neuropathies and Disorders (21 papers) and Antifungal resistance and susceptibility (10 papers). Chong Yan collaborates with scholars based in China, United States and United Kingdom. Chong Yan's co-authors include Chongbo Zhao, Jianying Xi, Jie Song, Sushan Luo, Hongju Liu, Xiao Huan, David Grove, Naim Alkhouri, Frank Cikach and Raed A. Dweik and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Small and Frontiers in Immunology.

In The Last Decade

Chong Yan

68 papers receiving 886 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chong Yan China 18 273 242 131 100 95 75 901
Sirsendu Jana United States 16 518 1.9× 175 0.7× 50 0.4× 33 0.3× 63 0.7× 33 1.1k
Hiroyasu Tsutsuki Japan 22 430 1.6× 54 0.2× 58 0.4× 70 0.7× 119 1.3× 62 994
Joelma Freire De Mesquita Brazil 16 406 1.5× 87 0.4× 92 0.7× 83 0.8× 98 1.0× 32 718
Rakhi Sharma India 16 528 1.9× 136 0.6× 84 0.6× 31 0.3× 120 1.3× 26 1.4k
Fernando L. Palhano Brazil 21 669 2.5× 161 0.7× 69 0.5× 38 0.4× 26 0.3× 44 1.4k
Т. А. Короленко Russia 20 387 1.4× 94 0.4× 234 1.8× 38 0.4× 20 0.2× 116 1.4k
Mohammed Alrouji Saudi Arabia 17 238 0.9× 111 0.5× 47 0.4× 16 0.2× 38 0.4× 58 720
Ricardo A. Gomes Portugal 19 577 2.1× 100 0.4× 51 0.4× 75 0.8× 33 0.3× 35 1.2k
Cao Chen China 21 751 2.8× 66 0.3× 43 0.3× 69 0.7× 29 0.3× 103 1.5k
Huan Du China 20 613 2.2× 52 0.2× 127 1.0× 106 1.1× 19 0.2× 76 1.2k

Countries citing papers authored by Chong Yan

Since Specialization
Citations

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

Fields of papers citing papers by Chong Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chong Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Chong Yan. A scholar is included among the top collaborators of Chong Yan 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 Chong Yan. Chong Yan 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.
Zhou, Qian, Sushan Luo, Chong Yan, et al.. (2025). Efgartigimod for induction and maintenance therapy in muscle-specific kinase myasthenia gravis. Therapeutic Advances in Neurological Disorders. 18. 4243607866–4243607866.
2.
Zhang, Hang, Chong Yan, Daowen Zhang, et al.. (2025). Solitary fibrous tumor of the prostate: a case report and the systematic review of 74 published cases. Frontiers in Oncology. 15. 1593184–1593184.
3.
Huang, Kai, Guochang Xu, Chong Yan, et al.. (2025). Study on the optimization and performance of expansive soil stabilized by alkali-activated fly ash-phosphogypsum using response surface methodology. Journal of Building Engineering. 113. 114032–114032.
4.
Zhong, Huahua, Hongyu Zhou, Zhang‐Yu Zou, et al.. (2025). Efgartigimod versus standard of care in new-Onset AChR subtype generalized myasthenia gravis: A prospective cohort study. Clinical Immunology. 281. 110587–110587.
5.
Zhang, Jialong, Xinyu Chen, Chong Yan, et al.. (2025). A cohort of GFPT1 related congenital myasthenic syndrome in China: high frequency of c.331 c > t variant. Orphanet Journal of Rare Diseases. 20(1). 259–259.
6.
Kong, Xinyu, Zewen Shen, Hao Pan, et al.. (2025). Photothermal Promotion of Uranium Extraction from Seawater with Self‐Supporting Functionalized Polyurethane Sponge. Solar RRL. 9(8). 2 indexed citations
7.
8.
Li, Bei, et al.. (2024). Prevalence of antiphospholipid antibodies in COVID-19 patients: A meta-analysis. Vascular Pharmacology. 158. 107444–107444. 1 indexed citations
9.
Tan, Song, Jian‐Quan Shi, Ying Liu, et al.. (2024). Eculizumab in thymoma-associated myasthenia gravis: a real-world cohort study. Therapeutic Advances in Neurological Disorders. 17. 4233590519–4233590519. 2 indexed citations
10.
Zhong, Huahua, Zhe Ruan, Chong Yan, et al.. (2023). Short-term outcome prediction for myasthenia gravis: an explainable machine learning model. Therapeutic Advances in Neurological Disorders. 16. 4223436064–4223436064. 10 indexed citations
11.
Wang, Yan, Chong Yan, Ying Wang, et al.. (2022). Increased Frequency of Myeloid-Derived Suppressor Cells in Myasthenia Gravis After Immunotherapy. Frontiers in Neurology. 13. 902384–902384. 1 indexed citations
12.
Chen, Jialin, Song Tan, Chong Yan, et al.. (2022). Clinical Features of Myasthenia Gravis With Antibodies to MuSK Based on Age at Onset: A Multicenter Retrospective Study in China. Frontiers in Neurology. 13. 879261–879261. 6 indexed citations
13.
Wang, Yuan, Xiao Huan, Jian‐Quan Shi, et al.. (2022). Plasma exchange versus intravenous immunoglobulin in AChR subtype myasthenic crisis: A prospective cohort study. Clinical Immunology. 241. 109058–109058. 14 indexed citations
14.
Zhong, Huahua, Xiao Huan, He Shen, et al.. (2022). Causal relationships between mood instability and autoimmune diseases: A mendelian randomization analysis. Autoimmunity Reviews. 22(1). 103214–103214. 7 indexed citations
15.
Song, Jie, Jie Yang, Chong Yan, et al.. (2021). Berberine attenuates experimental autoimmune myasthenia gravis via rebalancing the T cell subsets. Journal of Neuroimmunology. 362. 577787–577787. 7 indexed citations
16.
Song, Jie, Jianying Xi, Wenbo Yu, et al.. (2019). Inhibition of ROCK activity regulates the balance of Th1, Th17 and Treg cells in myasthenia gravis. Clinical Immunology. 203. 142–153. 24 indexed citations
17.
Jin, Yan, et al.. (2017). Hair Mercury Levels and Their Relationship with Seafood Consumption among Preschool Children in Shanghai.. PubMed. 30(3). 220–223. 6 indexed citations
18.
Yan, Chong, Jie Song, Fangfang Yi, et al.. (2017). Palpebral portion of the orbicularis oculi muscle to repetitive nerve stimulation testing: A potential assessment indicator in patients with generalized myasthenia gravis. Journal of Clinical Neuroscience. 48. 238–242. 3 indexed citations
19.
Li, Hongquan, et al.. (2015). Research on quality analysis and regulatory countermeasures of imported salmon in China.. Shipin anquan zhiliang jiance xuebao. 6(10). 3947–3952. 3 indexed citations
20.
Wang, Wei, et al.. (1990). Fine structure, genome and polypeptides of a grass carp hemorrhage virus (GCHV) isolate from the South Lake in Wuhan.. 6(1). 44–49. 1 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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