Kyle Chan
Impact in
- Genetics top 2%
- Mesenchymal stem cell research
- Hemoglobinopathies and Related Disorders
- Hematology top 2%
- Multiple Myeloma Research and Treatments
Papers in
-
- Protein Degradation and Inhibitors 7
- Angiogenesis and VEGF in Cancer 4
- Epigenetics and DNA Methylation 3
- Hematology 12
- Multiple Myeloma Research and Treatments 6
- Acute Myeloid Leukemia Research 5
- Co-authors
- Neil H Riordan (6 shared papers)Thomas E. Ichim (6 shared papers)Helen Brady (7 shared papers)Dominique Verhelle (5 shared papers)Kristen Jensen-Pergakes (4 shared papers)James Jackson (3 shared papers)George W. Muller (4 shared papers)Xiaolong Meng (1 shared paper)
- Journals
- Blood (5 papers)Journal of Translational Medicine (5 papers)Cancer Research (4 papers)Journal of Clinical Oncology (2 papers)Journal of Hematology & Oncology (1 paper)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Kyle Chan
30 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 96
- Genetics 492
- Hematology 396
- Reproductive Medicine 126
- Immunology 289
- Obstetrics and Gynecology 91
Countries citing papers authored by Kyle Chan
This map shows the geographic impact of Kyle 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 Kyle Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle Chan more than expected).
Fields of papers citing papers by Kyle Chan
This network shows the impact of papers produced by Kyle 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 Kyle Chan. The network helps show where Kyle Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Kyle 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
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 476 | |
| 2 | 2007 | 192 | |
| 3 | 2004 | 149 | |
| 4 | 2001 | 148 | |
| 5 | 2008 | 144 | |
| 6 | 2009 | 139 | |
| 7 | 2008 | 126 | |
| 8 | 1985 | 79 | |
| 9 | 2007 | 52 | |
| 10 | 2008 | 37 | |
| 11 | 1987 | 33 | |
| 12 | 2009 | 32 | |
| 13 | 2007 | 22 | |
| 14 | 1990 | 18 | |
| 15 | 2018 | 17 | |
| 16 | 2022 | 13 | |
| 17 | 1986 | 13 | |
| 18 | 1987 | 12 | |
| 19 | 2010 | 11 | |
| 20 | 2022 | 9 |
About Kyle Chan
Kyle Chan is a scholar working on Molecular Biology, Hematology, Surgery, Genetics and Oncology, having authored 34 papers that have together received 1.8k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (7 papers), Multiple Myeloma Research and Treatments (6 papers), Acute Myeloid Leukemia Research (5 papers), Angiogenesis and VEGF in Cancer (4 papers), Hemoglobinopathies and Related Disorders (4 papers), Epigenetics and DNA Methylation (3 papers), Mesenchymal stem cell research (3 papers) and Electrochemical Analysis and Applications (3 papers). The work is most often cited by research in Genetics (492 citations), Hematology (396 citations), Reproductive Medicine (126 citations), Immunology (289 citations) and Obstetrics and Gynecology (91 citations). Kyle Chan has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Neil H Riordan, Thomas E. Ichim, Helen Brady, Dominique Verhelle, Kristen Jensen-Pergakes, James Jackson, George W. Muller, Xiaolong Meng, Wei Ge and Bernard Thébaud. Their work appears in journals such as Blood, Journal of Translational Medicine, Cancer Research, Journal of Clinical Oncology and Journal of Hematology & 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.