John K.C. Chan

100 papers receiving 5.4k citations

John K.C. Chan's Hit Papers

Report of the Workshop on Nasal and Related Extranodal Angiocentric T/Natural Killer Cell Lymphomas 1996 · 580 citations
5800+10+20Years since publication100200300400500

Peers

John K.C. Chan
Comparison fields: 5 of 106
  • Pathology and Forensic Medicine 2.3k
  • Rheumatology 1.1k
  • Oncology 2.0k
  • Genetics 478
  • Dermatology 396
Replace CDM Fletcher with:
CDM Fletcher United States
Masaru Kojima Japan
Susan L. Abbondanzo United States
John K. C. Chan China
Tadaaki Eimoto Japan
Judith A. Ferry United States
William A. Newton United States
Young Hyeh Ko South Korea
Guido Pettinato Italy
Leon Barnes United States
John K.C. Chan relative to CDM Fletcher United States CDM Fletcher's profile →
Citations per field
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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-authors

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

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Report of the Workshop on Nasal and Related Extranodal Angiocentric T/Natural Killer Cell Lymphomas
Hit paper breakdown →
1996580
2 1992374
3 2004367
4 2010303
5 1991255
6
Relationship between high-grade lymphoma and low-grade B-cell mucosa-associated lymphoid tissue lymphoma (MALToma) of the stomach.
1990248
7 2001186
8 2008182
9 2001160
10 1993143
11 1994139
12 1994126
13 2012101
14 201091
15 199691
16 200390
17 200889
18 200083
19 199175
20 200072

About John K.C. Chan

John K.C. Chan is a scholar working on Pathology and Forensic Medicine, Oncology, Surgery, Rheumatology and Pulmonary and Respiratory Medicine, 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 (23 papers), Histiocytic Disorders and Treatments (10 papers), Chronic Lymphocytic Leukemia Research (10 papers), IgG4-Related and Inflammatory Diseases (8 papers), Eosinophilic Disorders and Syndromes (7 papers), Immune Cell Function and Interaction (7 papers) and CNS Lymphoma Diagnosis and Treatment (6 papers). The work is most often cited by research in Pathology and Forensic Medicine (2.3k citations), Rheumatology (1.1k citations), Oncology (2.0k citations), Genetics (478 citations) and Dermatology (396 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, Alfred C. Feller, Ih‐Jen Su, Faith Ho and Shigeo Mori. 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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