Chaojun Hu

910 citations
55 papers · 480 · h-index 13

Impact in

    • Systemic Lupus Erythematosus Research
    • IgG4-Related and Inflammatory Diseases
    • Liver Diseases and Immunity

Papers in

    • Systemic Lupus Erythematosus Research 23
    • IgG4-Related and Inflammatory Diseases 4
    • Atherosclerosis and Cardiovascular Diseases 7
    • Immunodeficiency and Autoimmune Disorders 4

Chaojun Hu

49 papers receiving 476 citations

Peers

Chaojun Hu
Comparison fields: 5 of 75
  • Rheumatology 201
  • Hepatology 49
  • Hematology 63
  • Immunology 111
  • Nephrology 23
Replace Masayuki Miyata with:
Masayuki Miyata Japan
Viola Signorini Italy
Е Н Александрова Russia
Mercedes García Argentina
S. Marzouk Tunisia
DJ Wallace United States
Dina Zucchi Italy
R Fleischmann United States
Darcy S. Majka United States
Liyan Wan China
Chaojun Hu relative to Masayuki Miyata Japan Masayuki Miyata's profile →
Citations per field
00.5×3.9×
Masayuki Miyata · 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 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200938
2 200933
3 201028
4 201125
5 200924
6 201922
7 200920
8 202215
9 202115
10
Clinical characteristics of systemic sclerosis patients with digital ulcers in China.
201315
11 202114
12 202114
13 202113
14 201112
15 201512
16 201711
17 201111
18 202110
19 201810
20 20219

About Chaojun Hu

Chaojun Hu is a scholar working on Rheumatology, Immunology, Radiology, Nuclear Medicine and Imaging, Hematology and Epidemiology, having authored 55 papers that have together received 480 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (23 papers), Monoclonal and Polyclonal Antibodies Research (14 papers), Platelet Disorders and Treatments (8 papers), Atherosclerosis and Cardiovascular Diseases (7 papers), Liver Diseases and Immunity (5 papers), IgG4-Related and Inflammatory Diseases (4 papers), Immunodeficiency and Autoimmune Disorders (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Rheumatology (201 citations), Hepatology (49 citations), Hematology (63 citations), Immunology (111 citations) and Nephrology (23 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, Shulan Zhang, Fengchun Zhang, Qian Wang, Yang Xu and Siting Li. Their work appears in journals such as Frontiers in Immunology, Clinical Rheumatology, Clinical and Experimental Rheumatology, Immunological Investigations 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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