Qin Ryan
Impact in
- Hematology top 5%
- Iron Metabolism and Disorders
- Erythropoietin and Anemia Treatment
- Oncology top 10%
- HER2/EGFR in Cancer Research
- Peptidase Inhibition and Analysis
Papers in
-
- Histone Deacetylase Inhibitors Research 4
- Protein Degradation and Inhibitors 3
- Epigenetics and DNA Methylation 2
-
- Erythropoietin and Anemia Treatment 2
- Chronic Myeloid Leukemia Treatments 1
- Co-authors
- Richard Pazdur (1 shared paper)Amna Ibrahim (1 shared paper)Martin H. Cohen (1 shared paper)Kyunghwa Hwang (3 shared papers)John R. Johnson (1 shared paper)Rajeshwari Sridhara (1 shared paper)Robert Justice (1 shared paper)Chia‐Wen Ko (1 shared paper)
- Journals
- JAMA (1 paper)Journal of Clinical Oncology (1 paper)Investigational New Drugs (1 paper)Clinical Cancer Research (1 paper)Pharmacoepidemiology and Drug Safety (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Qin Ryan
11 papers receiving 924 citations
Peers
Comparison fields: 5 of 93
- Hematology 158
- Oncology 303
- Genetics 118
- Molecular Biology 558
- Nephrology 37
Countries citing papers authored by Qin Ryan
This map shows the geographic impact of Qin Ryan'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 Qin Ryan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qin Ryan more than expected).
Fields of papers citing papers by Qin Ryan
This network shows the impact of papers produced by Qin Ryan. 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 Qin Ryan. The network helps show where Qin Ryan may publish in the future.
Co-authors
The 25 scholars most cited alongside Qin Ryan, 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 | 2005 | 344 | |
| 2 | 2008 | 236 | |
| 3 | 2015 | 151 | |
| 4 | 2007 | 107 | |
| 5 | 2016 | 25 | |
| 6 | 2022 | 22 | |
| 7 | 2006 | 19 | |
| 8 | Histone deacetylase inhibitor pharmacodynamic analysis by multiparameter flow cytometry. | 2005 | 19 |
| 9 | 2014 | 15 | |
| 10 | 2003 | 13 | |
| 11 | 2021 | 1 |
About Qin Ryan
Qin Ryan is a scholar working on Molecular Biology, Hematology, Pulmonary and Respiratory Medicine, Oncology and Biomedical Engineering, having authored 11 papers that have together received 952 indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (4 papers), Protein Degradation and Inhibitors (3 papers), Epigenetics and DNA Methylation (2 papers), Erythropoietin and Anemia Treatment (2 papers), Peptidase Inhibition and Analysis (1 paper), Cancer Treatment and Pharmacology (1 paper), Pharmacological Effects and Toxicity Studies (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Hematology (158 citations), Oncology (303 citations), Genetics (118 citations), Molecular Biology (558 citations) and Nephrology (37 citations). Qin Ryan has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Richard Pazdur, Amna Ibrahim, Martin H. Cohen, Kyunghwa Hwang, John R. Johnson, Rajeshwari Sridhara, Robert Justice, Chia‐Wen Ko, Eun Joo Chung and Jane B. Trepel. Their work appears in journals such as JAMA, Journal of Clinical Oncology, Investigational New Drugs, Clinical Cancer Research and Pharmacoepidemiology and Drug Safety.
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.