Michelle Quinlan
Impact in
-
- Chronic Myeloid Leukemia Treatments
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- Chronic Lymphocytic Leukemia Research
- Estrogen and related hormone effects
Papers in
- Genetics 9
- Chronic Lymphocytic Leukemia Research 8
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- Statistical Methods in Clinical Trials 4
- Co-authors
- James R. SchwenkeJ.L. HaywardWalter W. StroupJohn W. MooreDavid ChristopherSusan HoareD. Y. WangFlorence Hourcade‐Potelleret
- Journals
- AAPS PharmSciTech (5 papers)British Journal of Clinical Pharmacology (4 papers)Journal of Biopharmaceutical Statistics (3 papers)The Journal of Clinical Pharmacology (3 papers)Clinical Pharmacokinetics (3 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Michelle Quinlan
33 papers receiving 299 citations
Peers
Comparison fields: 5 of 88
- Hematology 50
- Genetics 46
- Pharmaceutical Science 21
- Oncology 82
- Statistics and Probability 15
Countries citing papers authored by Michelle Quinlan
This map shows the geographic impact of Michelle Quinlan'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 Michelle Quinlan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle Quinlan more than expected).
Fields of papers citing papers by Michelle Quinlan
This network shows the impact of papers produced by Michelle Quinlan. 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 Michelle Quinlan. The network helps show where Michelle Quinlan may publish in the future.
Co-authors
The 25 scholars most cited alongside Michelle Quinlan, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 16 | |
| 8 | 2021 | 2 | |
| 9 | 2020 | 4 | |
| 10 | 2020 | 2 | |
| 11 | 2017 | 15 | |
| 12 | 2017 | 7 | |
| 13 | 2016 | 2 | |
| 14 | 2015 | 4 | |
| 15 | 2014 | 5 | |
| 16 | 2013 | 5 | |
| 17 | 2013 | 2 | |
| 18 | 2012 | 43 | |
| 19 | 1987 | 5 | |
| 20 | PAS in urine. | 1958 | 1 |
About Michelle Quinlan
Michelle Quinlan is a scholar working on Genetics, Statistics and Probability, Hematology, Statistics, Probability and Uncertainty and Hepatology, having authored 34 papers that have together received 305 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (8 papers), Chronic Myeloid Leukemia Treatments (8 papers), Advanced Statistical Process Monitoring (5 papers), Advanced Breast Cancer Therapies (4 papers), Statistical Methods in Clinical Trials (4 papers), Hedgehog Signaling Pathway Studies (3 papers), Liver physiology and pathology (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Hematology (50 citations), Genetics (46 citations), Pharmaceutical Science (21 citations), Oncology (82 citations) and Statistics and Probability (15 citations). Michelle Quinlan has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include James R. Schwenke, J.L. Hayward, Walter W. Stroup, John W. Moore, David Christopher, Susan Hoare, D. Y. Wang, Florence Hourcade‐Potelleret, G.M.G. Clark and R.D. Bulbrook. Their work appears in journals such as AAPS PharmSciTech, British Journal of Clinical Pharmacology, Journal of Biopharmaceutical Statistics, The Journal of Clinical Pharmacology and Clinical Pharmacokinetics.
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.