Su Chu
Impact in
- Hematology top 1%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 21
- Chronic Myeloid Leukemia Treatments 18
- Acute Myeloid Leukemia Research 4
- Genetics 15
- Chronic Lymphocytic Leukemia Research 13
- Myeloproliferative Neoplasms: Diagnosis and Treatment 3
- Co-authors
- Ravi Bhatia (22 shared papers)David S. Snyder (7 shared papers)Tessa L. Holyoake (6 shared papers)Allen Lin (6 shared papers)Melissa Holtz (2 shared papers)Stephen J. Forman (6 shared papers)Janardan K. Reddy (2 shared papers)Tinisha McDonald (6 shared papers)
- Journals
- Blood (15 papers)Cancer Research (3 papers)Journal of Biological Chemistry (2 papers)Cancer Cell (1 paper)Journal of Molecular Neuroscience (1 paper)
- Partner nations
- United StatesUnited KingdomNorway
In The Last Decade
Su Chu
29 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 92
- Hematology 1.1k
- Genetics 703
- Rheumatology 380
- Molecular Biology 749
- Cancer Research 161
Countries citing papers authored by Su Chu
This map shows the geographic impact of Su Chu'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 Su Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su Chu more than expected).
Fields of papers citing papers by Su Chu
This network shows the impact of papers produced by Su Chu. 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 Su Chu. The network helps show where Su Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Su Chu, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 261 | |
| 2 | 2010 | 199 | |
| 3 | 2011 | 188 | |
| 4 | 2004 | 155 | |
| 5 | 2003 | 142 | |
| 6 | 2014 | 128 | |
| 7 | 2006 | 95 | |
| 8 | 2016 | 89 | |
| 9 | 2008 | 83 | |
| 10 | 2007 | 58 | |
| 11 | 2004 | 58 | |
| 12 | 2012 | 51 | |
| 13 | 2007 | 49 | |
| 14 | 2002 | 46 | |
| 15 | 2010 | 44 | |
| 16 | 2000 | 43 | |
| 17 | 1995 | 30 | |
| 18 | 2014 | 27 | |
| 19 | 2017 | 24 | |
| 20 | 2007 | 17 |
About Su Chu
Su Chu is a scholar working on Hematology, Genetics, Molecular Biology, Rheumatology and Physiology, having authored 29 papers that have together received 1.8k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (18 papers), Chronic Lymphocytic Leukemia Research (13 papers), Eosinophilic Disorders and Syndromes (7 papers), Protein Degradation and Inhibitors (4 papers), Acute Myeloid Leukemia Research (4 papers), Histone Deacetylase Inhibitors Research (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Hematology (1.1k citations), Genetics (703 citations), Rheumatology (380 citations), Molecular Biology (749 citations) and Cancer Research (161 citations). Su Chu has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include Ravi Bhatia, David S. Snyder, Tessa L. Holyoake, Allen Lin, Melissa Holtz, Stephen J. Forman, Janardan K. Reddy, Tinisha McDonald, Mamta Gupta and Victoria E. Centonze. Their work appears in journals such as Blood, Cancer Research, Journal of Biological Chemistry, Cancer Cell and Journal of Molecular Neuroscience.
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.