Qin Ryan

1.2k citations
11 papers · 1.0k · h-index 10

Impact in

  • Hematology top 10%
    • Iron Metabolism and Disorders
    • Erythropoietin and Anemia Treatment
  • Oncology top 10%
    • HER2/EGFR in Cancer Research
    • Peptidase Inhibition and Analysis

Papers in

Qin Ryan

11 papers receiving 969 citations

Peers

Qin Ryan
Comparison fields: 5 of 90
  • Hematology 134
  • Oncology 275
  • Molecular Biology 552
  • Genetics 77
  • Health Informatics 7
Replace Anusha Vakiti with:
Anusha Vakiti United States
Virginia E. Kwitkowski United States
Daniel Mulkerin United States
Francesca Cottini United States
Darrell Nix United States
Dennis A. Noe United States
Michael Xiang United States
A.S.T. Planting Netherlands
Anja Henningsson Sweden
Chung-Tsen Hsueh United States
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Citations per field
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Citations per year

Countries citing papers authored by Qin Ryan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Qin Ryan Line = papers co-authored together Qin Ryan links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2005361
2 2008247
3 2015158
4 2007112
5 202228
6 201627
7 200620
8
Histone deacetylase inhibitor pharmacodynamic analysis by multiparameter flow cytometry.
200519
9 201415
10 200313
11 20212

About Qin Ryan

Qin Ryan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Health Information Management and Oncology, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (3 papers), Artificial Intelligence in Healthcare and Education (1 paper), Biomedical and Engineering Education (1 paper), Medical Imaging and Pathology Studies (1 paper), Electronic Health Records Systems (1 paper), Epigenetics and DNA Methylation (1 paper), Protein Degradation and Inhibitors (1 paper) and Erythropoietin and Anemia Treatment (1 paper). The work is most often cited by research in Hematology (134 citations), Oncology (275 citations), Molecular Biology (552 citations), Genetics (77 citations) and Health Informatics (7 citations). Qin Ryan has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Chia‐Wen Ko, Martin H. Cohen, Kyunghwa Hwang, Eun Joo Chung, Rajeshwari Sridhara, Robert Justice, Amna Ibrahim, Richard Pazdur, Jane B. Trepel and John R. Johnson. Their work appears in journals such as Clinical Cancer Research, The Oncologist, JAMA Internal Medicine, Journal of Clinical Oncology and Cancer Chemotherapy and Pharmacology.

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.

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