Guochun Wang

3.6k total citations · 1 hit paper
125 papers, 1.9k citations indexed

About

Guochun Wang is a scholar working on Epidemiology, Rheumatology and Immunology. According to data from OpenAlex, Guochun Wang has authored 125 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Epidemiology, 57 papers in Rheumatology and 31 papers in Immunology. Recurrent topics in Guochun Wang's work include Inflammatory Myopathies and Dermatomyositis (87 papers), Eosinophilic Disorders and Syndromes (36 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (22 papers). Guochun Wang is often cited by papers focused on Inflammatory Myopathies and Dermatomyositis (87 papers), Eosinophilic Disorders and Syndromes (36 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (22 papers). Guochun Wang collaborates with scholars based in China, United States and Brazil. Guochun Wang's co-authors include Qinglin Peng, Xiaoming Shu, Xin Lu, Xin Lü, Yongpeng Ge, Hanbo Yang, Jingli Shi, Yamei Zhang, Shanshan Li and Yu Zuo and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Guochun Wang

114 papers receiving 1.9k citations

Hit Papers

Anti-MDA5 antibody-positive dermatomyositis: pathogenesis... 2023 2026 2024 2025 2023 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guochun Wang China 24 1.3k 809 403 376 324 125 1.9k
Maryam Dastmalchi Sweden 23 1.4k 1.1× 620 0.8× 334 0.8× 105 0.3× 572 1.8× 55 1.9k
Michael Rozenbaum Israel 29 572 0.5× 1.1k 1.4× 649 1.6× 382 1.0× 467 1.4× 133 2.7k
Itzhak Rosner Israel 31 416 0.3× 839 1.0× 620 1.5× 293 0.8× 492 1.5× 135 2.7k
Helene Alexanderson Sweden 32 2.2k 1.7× 791 1.0× 391 1.0× 127 0.3× 1.1k 3.4× 84 3.0k
Antonio Tavoni Italy 22 310 0.2× 716 0.9× 218 0.5× 282 0.8× 140 0.4× 86 1.7k
P. J. Zilko Australia 23 888 0.7× 516 0.6× 513 1.3× 58 0.2× 321 1.0× 57 1.9k
A. Schnabel Germany 29 418 0.3× 995 1.2× 431 1.1× 1.6k 4.1× 168 0.5× 68 2.9k
Mike Oliver Becker Switzerland 20 384 0.3× 229 0.3× 476 1.2× 477 1.3× 186 0.6× 63 1.6k
Ahmet Mesut Onat Türkiye 23 129 0.1× 486 0.6× 338 0.8× 210 0.6× 370 1.1× 98 1.5k
Cengiz Korkmaz Türkiye 19 176 0.1× 619 0.8× 349 0.9× 332 0.9× 502 1.5× 132 1.6k

Countries citing papers authored by Guochun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guochun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guochun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Guochun Wang. A scholar is included among the top collaborators of Guochun Wang 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 Guochun Wang. Guochun Wang 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.
Sun, Chao, Xiaolan Tian, Shanshan Li, Guochun Wang, & Xin Lu. (2025). Tongue myositis in dermatomyositis with anti-PM-Scl 75 antibody: two case reports. BMC Musculoskeletal Disorders. 26(1). 868–868.
3.
Tian, Xiaolan, Chao Sun, Wei Jiang, et al.. (2025). Outcome of COVID-19 in patients with idiopathic inflammatory myopathy during the Omicron wave in China: A longitudinal observational study. PLoS ONE. 20(2). e0317319–e0317319.
4.
Jiang, Wei, et al.. (2024). Prevalence, Risk Factors, and Mortality of Invasive Pulmonary Aspergillosis in Patients with Anti-MDA5+ Dermatomyositis: A Retrospective Study in China. Journal of Inflammation Research. Volume 17. 3247–3257. 5 indexed citations
5.
Tang, Yong, et al.. (2024). Design of novel sandwich double-hat beams filled with aluminum hierarchical structures under axial impact loading. Structures. 70. 107758–107758. 2 indexed citations
6.
Tian, Xiaolan, Hongxia Yang, Hanbo Yang, et al.. (2024). Polymyositis is a rare and favourable outcome subtype of idiopathic inflammatory myopathy in Chinese patients. Clinical and Experimental Rheumatology. 42(2). 302–308.
7.
Liu, Lei, Xinwang Duan, Lili Jiang, et al.. (2024). Longitudinal study of patients with anti-SAE antibody-positive dermatomyositis: a multicenter cohort study in China. Lara D. Veeken. 64(3). 1377–1385. 2 indexed citations
8.
Yang, Hongxia, et al.. (2024). Association of anti-HMGCR antibodies of the IgM isotype with refractory immune-mediated necrotizing myopathy. Arthritis Research & Therapy. 26(1). 158–158.
10.
Wang, Yuli, Zhenguo Huang, Jieping Lei, et al.. (2024). Fatty infiltration in the posterior muscles of the lower extremities as an MRI feature in antimitochondrial antibody–associated myopathy. Clinical Rheumatology. 43(3). 1127–1133. 1 indexed citations
11.
Xia, Qisheng, Wenli Li, Qingyan Liu, et al.. (2023). Immunoproteasome subunit β5i promotes perifascicular muscle atrophy in dermatomyositis by upregulating RIG-I. RMD Open. 9(1). e002818–e002818. 5 indexed citations
12.
Zhang, Yinli, Zhengyi Cao, Xiaoming Shu, et al.. (2023). Decrease in cell counts and alteration of phenotype characterize peripheral NK cells of patients with anti-MDA5-positive dermatomyositis. Clinica Chimica Acta. 543. 117321–117321. 11 indexed citations
13.
Saygın, Didem, Matteo Bottai, Marjolein Visser, et al.. (2023). Performance of the 2017 EULAR/ACR Classification Criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups: a scoping review. Clinical and Experimental Rheumatology. 42(2). 403–412. 4 indexed citations
14.
Jiang, Wei, Qinglin Peng, Xin Lü, et al.. (2023). Clinical, radiological and pathological features of anti-MDA5 antibody-associated interstitial lung disease. RMD Open. 9(2). e003150–e003150. 24 indexed citations
15.
Fu, Lijun, Hongxia Yang, Zhenguo Huang, et al.. (2023). Peripheral lymphocyte count defines the clinical phenotypes and prognosis in patients with anti‐MDA5‐positive dermatomyositis. Journal of Internal Medicine. 293(4). 494–507. 34 indexed citations
16.
Peng, Qinglin, Yamei Zhang, Yanchun Liu, et al.. (2022). Contribution of Necroptosis to Myofiber Death in Idiopathic Inflammatory Myopathies. Arthritis & Rheumatology. 74(6). 1048–1058. 13 indexed citations
18.
Wang, Guochun, et al.. (2015). Body-in-white Load Path Planning Method Based on Progressive Space Topology Optimization Technique. Zhongguo jixie gongcheng. 26(20). 2827. 1 indexed citations
19.
Wang, Guochun. (2011). Expression of TRAIL and its receptors in interstitial lung tissue of autoimmune myositis in rats. 1 indexed citations
20.
Shu, Xiaoming, Guochun Wang, Xin Lü, & Yao Xie. (2009). Rheumatoid-like deformities in Parkinson’s disease with 1-year follow-up: case report and literature review. Rheumatology International. 30(11). 1493–1497. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026