Kenneth K. Chan
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hematology top 1%
- Acute Myeloid Leukemia Research
Papers in
- Hematology 24
- Acute Myeloid Leukemia Research 21
- Co-authors
- Zhongfa LiuGuido MarcucciShujun LiuMichael R. GreverRamiro GarzonZhiliang XieCarlo M. CroceJohn M. Cassady
- Journals
- Blood (16 papers)Cancer Chemotherapy and Pharmacology (12 papers)Clinical Cancer Research (7 papers)The AAPS Journal (7 papers)Journal of Pharmaceutical and Biomedical Analysis (6 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Kenneth K. Chan
171 papers receiving 7.9k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Cancer Research 1.5k
- Hematology 930
- Molecular Biology 5.0k
- Molecular Medicine 337
- Oncology 1.3k
Countries citing papers authored by Kenneth K. Chan
This map shows the geographic impact of Kenneth K. 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 Kenneth K. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth K. Chan more than expected).
Fields of papers citing papers by Kenneth K. Chan
This network shows the impact of papers produced by Kenneth K. 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 Kenneth K. Chan. The network helps show where Kenneth K. Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Kenneth K. Chan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 56 | |
| 2 | 2016 | 12 | |
| 3 | 2014 | 10 | |
| 4 | 2013 | 151 | |
| 5 | 2013 | 105 | |
| 6 | 2011 | 90 | |
| 7 | 2011 | 47 | |
| 8 | 2011 | 63 | |
| 9 | 2011 | 139 | |
| 10 | 2007 | 9 | |
| 11 | Preclinical pharmacokinetic studies with s-HDAC-42 (NSC 736012), an inhibitor of histone deacetylase, by LC-MS/MS | 2006 | 2 |
| 12 | 2006 | 42 | |
| 13 | Analytical method development and pharmacokinetics studies with parthenolide (NSC 157035) and a water-soluble analog (NSC 734325) | 2005 | 2 |
| 14 | 2005 | 144 | |
| 15 | 2003 | 38 | |
| 16 | 2003 | 32 | |
| 17 | 2002 | 23 | |
| 18 | 2002 | 22 | |
| 19 | N-acetyltransferase 2 phenotype but not NAT1*10 genotype affects aminobiphenyl-hemoglobin adduct levels. | 2000 | 39 |
| 20 | 1991 | 20 |
About Kenneth K. Chan
Kenneth K. Chan is a scholar working on Hematology, Toxicology, Molecular Biology, Cancer Research and Oncology, having authored 172 papers that have together received 8.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (21 papers), Epigenetics and DNA Methylation (20 papers), Histone Deacetylase Inhibitors Research (17 papers), Acute Lymphoblastic Leukemia research (16 papers), Cancer therapeutics and mechanisms (13 papers), Chemotherapy-induced organ toxicity mitigation (13 papers), Cancer Treatment and Pharmacology (11 papers) and Advanced biosensing and bioanalysis techniques (10 papers). The work is most often cited by research in Cancer Research (1.5k citations), Hematology (930 citations), Molecular Biology (5.0k citations), Molecular Medicine (337 citations) and Oncology (1.3k citations). Kenneth K. Chan has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Zhongfa Liu, Guido Marcucci, Shujun Liu, Michael R. Grever, Ramiro Garzon, Zhiliang Xie, Carlo M. Croce, John M. Cassady, Heinz G. Floss and George A. Calin. Their work appears in journals such as Blood, Cancer Chemotherapy and Pharmacology, Clinical Cancer Research, The AAPS Journal and Journal of Pharmaceutical and Biomedical Analysis.
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.