H. Kan

442 citations
23 papers · 364 · h-index 11

Impact in

Papers in

    • Systemic Lupus Erythematosus Research 11
    • Receptor Mechanisms and Signaling 3
    • Pharmacological Receptor Mechanisms and Effects 2

H. Kan

21 papers receiving 355 citations

Peers

H. Kan
Comparison fields: 5 of 71
  • Rheumatology 145
  • Immunology 58
  • Radiology, Nuclear Medicine and Imaging 55
  • Endocrinology, Diabetes and Metabolism 32
  • Cardiology and Cardiovascular Medicine 33
Replace Liu Zhang with:
Liu Zhang China
Haitao Xu China
Guanwu Li China
Alisa Rachlis Canada
Hakan Tıkız Türkiye
Shengzhuo Liu China
Jieming Mao China
Simona Toscano Italy
Mariz Kasoha Germany
H. Kan relative to Liu Zhang China Liu Zhang's profile →
Citations per field
00.5×4.6×
Liu Zhang · 1×
Citations per year

Countries citing papers authored by H. Kan

Since Specialization
Citations

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

Fields of papers citing papers by H. Kan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201697
2 201438
3 199636
4 200933
5 201832
6 201331
7 201520
8 199818
9 199617
10 199712
11 201011
12 20175
13 20223
14 19962
15
Cross-cultural adaptation and validation of the Dutch version of the High Activity Arthroplasty Score
20182
16 20121
17 20121
18 20181
19 20181
20 20131

About H. Kan

H. Kan is a scholar working on Rheumatology, Molecular Biology, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine, having authored 23 papers that have together received 364 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (11 papers), Receptor Mechanisms and Signaling (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Systemic Sclerosis and Related Diseases (2 papers), Lymphoma Diagnosis and Treatment (2 papers) and Pharmacological Receptor Mechanisms and Effects (2 papers). The work is most often cited by research in Rheumatology (145 citations), Immunology (58 citations), Radiology, Nuclear Medicine and Imaging (55 citations), Endocrinology, Diabetes and Metabolism (32 citations) and Cardiology and Cardiovascular Medicine (33 citations). H. Kan has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include C. Molta, Yongsen Ruan, Christopher Collins, David J. Chang, Vincent Castranova, Maria Dall’Era, Cynthia Macahilig, Daniel C. Pan, P McEwan and Marc Evans. Their work appears in journals such as Annals of the Rheumatic Diseases, Journal of Pharmacology and Experimental Therapeutics, Lupus, Quality of Life Research and Population Health Management.

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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