John K.C. Chan

8.4k citations
102 papers · 5.6k indexed · 1 hit paper · h-index 39

Impact in

Papers in

John K.C. Chan

100 papers receiving 5.4k citations

Hit Papers

Report of the Workshop on Nasal and Related Extranodal Angiocentric T/Natural Killer Cell Lymphomas 1996 · 581 citations
5811996202620062016100200300400500

Peers

John K.C. Chan
Comparison fields: 5 of 113
  • Pathology and Forensic Medicine 2.6k
  • Oncology 2.3k
  • Rheumatology 1.2k
  • Genetics 552
  • Dermatology 436
Replace CDM Fletcher with:
CDM Fletcher United States
Masaru Kojima Japan
John K. C. Chan China
Susan L. Abbondanzo United States
Lester D.�R. Thompson United States
Tadaaki Eimoto Japan
James J. Butler United States
Judith A. Ferry United States
Bruce M. Wenig United States
William A. Newton United States
John K.C. Chan relative to CDM Fletcher United States CDM Fletcher's profile →
Citations per field
00.5×2.7×
CDM Fletcher · 1×
Citations per year

Countries citing papers authored by John K.C. Chan

Since Specialization
Citations

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

Fields of papers citing papers by John K.C. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201565
2 2012101
3 2010299
4 201031
5 200519
6 200218
7 20019
8 199927
9 199847
10 199731
11
Report of the Workshop on Nasal and Related Extranodal Angiocentric T/Natural Killer Cell Lymphomas
Hit paper breakdown →
1996581
12 19956
13 199462
14 199416
15 1993143
16 1992374
17 199223
18 199220
19 199255
20 199115

About John K.C. Chan

John K.C. Chan is a scholar working on Pathology and Forensic Medicine, Rheumatology, Oncology, Genetics and Neurology, having authored 102 papers that have together received 5.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (36 papers), Viral-associated cancers and disorders (25 papers), Chronic Lymphocytic Leukemia Research (10 papers), Histiocytic Disorders and Treatments (10 papers), IgG4-Related and Inflammatory Diseases (8 papers), CNS Lymphoma Diagnosis and Treatment (8 papers), Vascular Tumors and Angiosarcomas (7 papers) and Eosinophilic Disorders and Syndromes (7 papers). The work is most often cited by research in Pathology and Forensic Medicine (2.6k citations), Oncology (2.3k citations), Rheumatology (1.2k citations), Genetics (552 citations) and Dermatology (436 citations). John K.C. Chan has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Wah Cheuk, C.S. Ng, William Y.W. Tsang, J. Rosal, Elaine S. Jaffe, P G Isaacson, Shigeo Mori, Faith Ho, Ih‐Jen Su and Glauco Frizzera. Their work appears in journals such as The American Journal of Surgical Pathology, Histopathology, Human Pathology, Advances in Anatomic Pathology and American Journal of Clinical Pathology.

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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