Jason Chan

2.6k total citations
21 papers, 1.3k citations indexed

About

Jason Chan is a scholar working on Epidemiology, Rheumatology and Molecular Biology. According to data from OpenAlex, Jason Chan has authored 21 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 8 papers in Rheumatology and 6 papers in Molecular Biology. Recurrent topics in Jason Chan's work include Inflammatory Myopathies and Dermatomyositis (8 papers), Systemic Lupus Erythematosus Research (5 papers) and Eosinophilic Disorders and Syndromes (4 papers). Jason Chan is often cited by papers focused on Inflammatory Myopathies and Dermatomyositis (8 papers), Systemic Lupus Erythematosus Research (5 papers) and Eosinophilic Disorders and Syndromes (4 papers). Jason Chan collaborates with scholars based in United States, Italy and Mexico. Jason Chan's co-authors include Minoru Satoh, Edward K. L. Chan, Steven J. Ross, Angela Ceribelli, Brad A. Pauley, Hideko Kasahara, Ilaria Cavazzana, Franco Franceschini, Hartmut Schmidt and Pedro Trigo and has published in prestigious journals such as PLoS ONE, Circulation Research and Neurology.

In The Last Decade

Jason Chan

20 papers receiving 1.3k citations

Peers

Jason Chan
Comparison fields: 5 of 86
  • Molecular Biology 601
  • Epidemiology 529
  • Rheumatology 432
  • Immunology 245
  • Pathology and Forensic Medicine 153
Replace Qinglin Peng with:
Qinglin Peng China
Nicole Hartwig Trier Denmark
Gil Bornstein Israel
K A Siminovitch Canada
Jorg van Loosdregt Netherlands
Naoko Seki Japan
Kelvin W. Li United States
Isabella Cascino Italy
Jules M. Elias United States
Yuji Nakamachi Japan
Qinglin Peng China View profile →
Citations per field, relative to Jason Chan
Jason Chan · 1×
Citations per year, relative to Jason Chan
Jason Chan · 1×

Countries citing papers authored by Jason Chan

Since Specialization
Citations

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

Fields of papers citing papers by Jason Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Chan. A scholar is included among the top collaborators of Jason Chan 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 Jason Chan. Jason Chan 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
# Work Indexed citations
1 0
2 3
3 50
4 21
5
Prevalence and clinical profiles of 'autoantibody-negative' systemic sclerosis subjects.
13
6 4
7 25
8 266
9 51
10 25
11 114
12 21
13 297
14 33
15 5
16 152
17
Autoantibodies to a miRNA-binding protein Argonaute2 (Su antigen) in patients with hepatitis C virus infection.
10
18 15
19 15
20 120

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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