Qin C. 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 C. Ryan

11 papers receiving 998 citations

Peers

Qin C. Ryan
Comparison fields: 5 of 94
  • Hematology 144
  • Oncology 283
  • Molecular Biology 564
  • Genetics 80
  • Nephrology 35
Replace Sonja Mandl–Weber with:
Sonja Mandl–Weber Germany
Melissa Gaik Ming Ooi Singapore
Alberto Bessudo United States
Melanie Poulin-Costello Canada
A.S.T. Planting Netherlands
Katharine Hazell Switzerland
Motohiro Yamamori Japan
Chung-Tsen Hsueh United States
L. Jonathan Zwi New Zealand
Ramprasad Srinivasan United States
Qin C. Ryan relative to Sonja Mandl–Weber Germany Sonja Mandl–Weber's profile →
Citations per field
00.5×2×4×6×8.5×
Sonja Mandl–Weber · 1×
Citations per year

Countries citing papers authored by Qin C. Ryan

Since Specialization
Citations

This map shows the geographic impact of Qin C. 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 C. 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 C. Ryan more than expected).

Fields of papers citing papers by Qin C. Ryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qin C. 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 C. Ryan. The network helps show where Qin C. Ryan may publish in the future.

Co-authors

The 25 scholars most cited alongside Qin C. 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 C. Ryan Line = papers co-authored together Qin C. Ryan links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2005369
2 2008259
3 2015173
4 2007111
5 202232
6 201626
7
Histone deacetylase inhibitor pharmacodynamic analysis by multiparameter flow cytometry.
200522
8 200620
9 201415
10 200313
11 20212

About Qin C. Ryan

Qin C. Ryan is a scholar working on Health Informatics, Health Information Management, Pulmonary and Respiratory Medicine, Hematology and Molecular Biology, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (3 papers), Advanced Breast Cancer Therapies (1 paper), Protein Degradation and Inhibitors (1 paper), Cancer Treatment and Pharmacology (1 paper), Medical Imaging Techniques and Applications (1 paper), Artificial Intelligence in Healthcare and Education (1 paper), Biomedical and Engineering Education (1 paper) and Electronic Health Records Systems (1 paper). The work is most often cited by research in Hematology (144 citations), Oncology (283 citations), Molecular Biology (564 citations), Genetics (80 citations) and Nephrology (35 citations). Qin C. Ryan has collaborated with scholars based in United States. Frequent co-authors include Martin H. Cohen, Amna Ibrahim, Chia‐Wen Ko, Robert L. Justice, John R. Johnson, Rajeshwari Sridhara, Richard M. Pazdur, Eun Joo Chung, Jane B. Trepel and Kyunghwa Hwang. Their work appears in journals such as JAMA, Pharmacoepidemiology and Drug Safety, Journal of Clinical Oncology, The Oncologist and Clinical Cancer Research.

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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