King Tan
Impact in
- Pathology and Forensic Medicine top 0.5%
- Lymphoma Diagnosis and Treatment
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Lymphoma Diagnosis and Treatment 21
- Genetic factors in colorectal cancer 3
- Genetics 8
- Chronic Lymphocytic Leukemia Research 6
- Co-authors
- Randy D. Gascoyne (22 shared papers)Christian Steidl (15 shared papers)Joseph M. Connors (16 shared papers)Susana Ben‐Neriah (11 shared papers)David W. Scott (14 shared papers)Robert Kridel (9 shared papers)Laurie H. Sehn (12 shared papers)Graham W. Slack (11 shared papers)
- Journals
- Blood (15 papers)British Journal of Haematology (2 papers)Journal of Clinical Oncology (1 paper)The Journal of Pathology (1 paper)Gynecologic Oncology (1 paper)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
King Tan
31 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 66
- Pathology and Forensic Medicine 1.0k
- Genetics 376
- Oncology 703
- Neurology 298
- Immunology 302
Countries citing papers authored by King Tan
This map shows the geographic impact of King Tan'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 King Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites King Tan more than expected).
Fields of papers citing papers by King Tan
This network shows the impact of papers produced by King Tan. 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 King Tan. The network helps show where King Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside King Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 243 | |
| 2 | 2014 | 233 | |
| 3 | 2012 | 159 | |
| 4 | 2014 | 128 | |
| 5 | 2016 | 125 | |
| 6 | 2013 | 103 | |
| 7 | 2012 | 96 | |
| 8 | 2015 | 80 | |
| 9 | 2016 | 70 | |
| 10 | 2019 | 56 | |
| 11 | 2013 | 52 | |
| 12 | 2012 | 44 | |
| 13 | 2015 | 41 | |
| 14 | 2019 | 21 | |
| 15 | 2008 | 17 | |
| 16 | 2009 | 12 | |
| 17 | 2011 | 11 | |
| 18 | 2011 | 11 | |
| 19 | 2012 | 10 | |
| 20 | 2011 | 10 |
About King Tan
King Tan is a scholar working on Pathology and Forensic Medicine, Genetics, Neurology, Oncology and Molecular Biology, having authored 31 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (21 papers), CNS Lymphoma Diagnosis and Treatment (7 papers), Viral-associated cancers and disorders (6 papers), Chronic Lymphocytic Leukemia Research (6 papers), Immune Cell Function and Interaction (3 papers), Genetic factors in colorectal cancer (3 papers), Cancer Genomics and Diagnostics (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.0k citations), Genetics (376 citations), Oncology (703 citations), Neurology (298 citations) and Immunology (302 citations). King Tan has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Randy D. Gascoyne, Christian Steidl, Joseph M. Connors, Susana Ben‐Neriah, David W. Scott, Robert Kridel, Laurie H. Sehn, Graham W. Slack, Adèle Telenius and Fong Chun Chan. Their work appears in journals such as Blood, British Journal of Haematology, Journal of Clinical Oncology, The Journal of Pathology and Gynecologic Oncology.
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.