Mark Y. Chiang
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Cancer-related gene regulation 9
- Epigenetics and DNA Methylation 5
- Developmental Biology and Gene Regulation 5
- RNA modifications and cancer 4
- Renal and related cancers 3
- Hematology 10
- Acute Myeloid Leukemia Research 8
- Co-authors
- Warren S. Pear (12 shared papers)Jon C. Aster (10 shared papers)Olga Shestova (9 shared papers)Lanwei Xu (6 shared papers)Stephen C. Blacklow (4 shared papers)John G. Monroe (3 shared papers)Gavin Histen (2 shared papers)Ivan Maillard (5 shared papers)
- Journals
- Blood (10 papers)Journal of Clinical Investigation (2 papers)Genes & Development (2 papers)The Journal of Immunology (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Mark Y. Chiang
29 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 67
- Hematology 248
- Genetics 158
- Immunology 296
- Molecular Biology 699
- Pathology and Forensic Medicine 164
Countries citing papers authored by Mark Y. Chiang
This map shows the geographic impact of Mark Y. Chiang'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 Mark Y. Chiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Y. Chiang more than expected).
Fields of papers citing papers by Mark Y. Chiang
This network shows the impact of papers produced by Mark Y. Chiang. 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 Mark Y. Chiang. The network helps show where Mark Y. Chiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Y. Chiang, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 197 | |
| 2 | 2008 | 163 | |
| 3 | 2009 | 144 | |
| 4 | 2006 | 71 | |
| 5 | 2010 | 70 | |
| 6 | 2012 | 68 | |
| 7 | 2010 | 60 | |
| 8 | 2015 | 48 | |
| 9 | 2012 | 45 | |
| 10 | 2012 | 39 | |
| 11 | 1999 | 37 | |
| 12 | 2016 | 35 | |
| 13 | 2019 | 31 | |
| 14 | 2018 | 25 | |
| 15 | 2016 | 24 | |
| 16 | 2018 | 22 | |
| 17 | 2011 | 20 | |
| 18 | 2015 | 15 | |
| 19 | 2011 | 12 | |
| 20 | 2001 | 10 |
About Mark Y. Chiang
Mark Y. Chiang is a scholar working on Molecular Biology, Hematology, Public Health, Environmental and Occupational Health, Immunology and Genetics, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer-related gene regulation (9 papers), Acute Myeloid Leukemia Research (8 papers), Acute Lymphoblastic Leukemia research (8 papers), Epigenetics and DNA Methylation (5 papers), Developmental Biology and Gene Regulation (5 papers), RNA modifications and cancer (4 papers), Renal and related cancers (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Hematology (248 citations), Genetics (158 citations), Immunology (296 citations), Molecular Biology (699 citations) and Pathology and Forensic Medicine (164 citations). Mark Y. Chiang has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Warren S. Pear, Jon C. Aster, Olga Shestova, Lanwei Xu, Stephen C. Blacklow, John G. Monroe, Gavin Histen, Ivan Maillard, M. Eden Childs and Candice A. Romany. Their work appears in journals such as Blood, Journal of Clinical Investigation, Genes & Development, The Journal of Immunology and PLoS ONE.
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.