Eric Q. Wu
- Health Informatics top 0.2%
- Family Practice top 0.5%
- Psychiatry and Mental health top 0.5%
- Biological Psychiatry top 2%
- Hematology top 1%
- Chronic Myeloid Leukemia Treatments 26
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- Health Systems, Economic Evaluations, Quality of Life 34
- Pharmaceutical Economics and Policy 16
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- Chronic Lymphocytic Leukemia Research 27
- Inflammatory Bowel Disease 18
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- Advanced Breast Cancer Therapies 20
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- Acute Lymphoblastic Leukemia research 18
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- Psoriasis: Treatment and Pathogenesis 14
- Co-authors
- Andrew P. YuParvez MulaniAnnie GuérinHoward G. BirnbaumJipan XieJames SignorovitchJames ZouLizheng Shi
- Journals
- Current Medical Research and Opinion (43 papers)Journal of Medical Economics (30 papers)Advances in Therapy (18 papers)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Eric Q. Wu
308 papers receiving 9.9k citations
Hit Papers
Peers
Comparison fields: 5 of 189
- Health Informatics 344
- Family Practice 261
- Psychiatry and Mental health 1.6k
- Biological Psychiatry 223
- Hematology 762
Countries citing papers authored by Eric Q. Wu
This map shows the geographic impact of Eric Q. Wu'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 Eric Q. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Q. Wu more than expected).
Fields of papers citing papers by Eric Q. Wu
This network shows the impact of papers produced by Eric Q. Wu. 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 Eric Q. Wu. The network helps show where Eric Q. Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric Q. Wu, 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 | 2024 | 2 | |
| 2 | 2024 | 3 | |
| 3 | From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatmentbreakdown → | 2023 | 282 |
| 4 | 2023 | 186 | |
| 5 | 2023 | 46 | |
| 6 | 2021 | 20 | |
| 7 | 2020 | 9 | |
| 8 | 2019 | 7 | |
| 9 | 2017 | 21 | |
| 10 | 2016 | 49 | |
| 11 | 2016 | 4 | |
| 12 | 2016 | 9 | |
| 13 | 2015 | 4 | |
| 14 | 2015 | 8 | |
| 15 | 2014 | 25 | |
| 16 | Treatment persistence & health care costs of adult MDD patients treated with escitalopram vs. citalopram in a medicaid population. | 2012 | 0 |
| 17 | 2011 | 48 | |
| 18 | 2011 | 128 | |
| 19 | 2009 | 3 | |
| 20 | 2009 | 14 |
About Eric Q. Wu
Eric Q. Wu is a scholar working on Health Informatics, Hematology and Family Practice, having authored 318 papers that have together received 10.2k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (34 papers), Chronic Lymphocytic Leukemia Research (27 papers), Chronic Myeloid Leukemia Treatments (26 papers), Advanced Breast Cancer Therapies (20 papers), Inflammatory Bowel Disease (18 papers), Acute Lymphoblastic Leukemia research (18 papers), Pharmaceutical Economics and Policy (16 papers) and Psoriasis: Treatment and Pathogenesis (14 papers). The work is most often cited by research in Health Informatics (344 citations), Family Practice (261 citations) and Psychiatry and Mental health (1.6k citations). Eric Q. Wu has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Andrew P. Yu, Parvez Mulani, Annie Guérin, Howard G. Birnbaum, Jipan Xie, James Signorovitch, James Zou, Lizheng Shi, Ronald C. Kessler and Jingdong Chao. Their work appears in journals such as Current Medical Research and Opinion, Journal of Medical Economics, Advances in Therapy, Blood and Journal of Clinical Oncology.
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.