Chaojun Hu

949 citations
58 papers · 506 · h-index 13

Impact in

    • Systemic Lupus Erythematosus Research
    • IgG4-Related and Inflammatory Diseases
  • Hepatology top 10%
    • Liver Diseases and Immunity

Papers in

    • Systemic Lupus Erythematosus Research 18
    • IgG4-Related and Inflammatory Diseases 3
    • Atherosclerosis and Cardiovascular Diseases 3

Chaojun Hu

51 papers receiving 502 citations

Peers

Chaojun Hu
Comparison fields: 5 of 75
  • Rheumatology 198
  • Hepatology 46
  • Immunology 87
  • Hematology 44
  • Pathology and Forensic Medicine 44
Replace In Ah Choi with:
In Ah Choi South Korea
R Fleischmann United States
DJ Wallace United States
Camelia Doina Vrabie Romania
Anna Södergren Sweden
Tomoyuki Asano Japan
Liyan Wan China
P. Emery United Kingdom
Ewa Haładyj Poland
Daisuke Hoshi Japan
Chaojun Hu relative to In Ah Choi South Korea In Ah Choi's profile →
Citations per field
00.5×
In Ah Choi · 1×
Citations per year

Countries citing papers authored by Chaojun Hu

Since Specialization
Citations

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

Fields of papers citing papers by Chaojun Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200938
2 200933
3 201029
4 201125
5 200924
6 201923
7 200920
8 202117
9 202217
10 202116
11
Clinical characteristics of systemic sclerosis patients with digital ulcers in China.
201315
12 202115
13 202114
14 201112
15 202112
16 201512
17 202111
18 201711
19 201111
20 201810

About Chaojun Hu

Chaojun Hu is a scholar working on Rheumatology, Immunology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 58 papers that have together received 506 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (18 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), IgG4-Related and Inflammatory Diseases (3 papers), Liver Diseases and Immunity (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Gastrointestinal motility and disorders (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Inflammatory Myopathies and Dermatomyositis (2 papers). The work is most often cited by research in Rheumatology (198 citations), Hepatology (46 citations), Immunology (87 citations), Hematology (44 citations) and Pathology and Forensic Medicine (44 citations). Chaojun Hu has collaborated with scholars based in China, United States and Iran. Frequent co-authors include Mengtao Li, Xiaofeng Zeng, Yongzhe Li, Jiuliang Zhao, Xinping Tian, Qian Wang, Shulan Zhang, Fengchun Zhang, Siting Li and Yang Xu. Their work appears in journals such as Frontiers in Immunology, Clinical Rheumatology, Lupus Science & Medicine, Clinical and Experimental Rheumatology and The Anatomical Record.

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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