Eric Q. Wu

313 papers receiving 10.7k citations

Eric Q. Wu's Hit Papers

From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment 2023 · 337 citations
3370+3+6Years since publication100200300

Peers

Eric Q. Wu
Comparison fields: 5 of 192
  • Health Informatics 383
  • Psychiatry and Mental health 1.3k
  • Family Practice 148
  • Biological Psychiatry 184
  • Hematology 653
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Citations per year

Countries citing papers authored by Eric Q. Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 325 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005472
2
The Economic Burden of Schizophrenia in the United States in 2013
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2016388
3 2005344
4
From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment
Hit paper breakdown →
2023337
5 2012329
6
How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals
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2021307
7 2008300
8 2010271
9
Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach.
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2021269
10 2023239
11 2010232
12 2007165
13 2008162
14 2010161
15 2006159
16 2012153
17 2006147
18 2017133
19 2011131
20 2012131

About Eric Q. Wu

Eric Q. Wu is a scholar working on Pulmonary and Respiratory Medicine, Hematology, Oncology, Psychiatry and Mental health and Immunology, having authored 325 papers that have together received 11.1k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (27 papers), Inflammatory Bowel Disease (17 papers), Health Systems, Economic Evaluations, Quality of Life (15 papers), Advanced Breast Cancer Therapies (14 papers), Psoriasis: Treatment and Pathogenesis (13 papers), Attention Deficit Hyperactivity Disorder (13 papers), Chronic Lymphocytic Leukemia Research (13 papers) and Acute Lymphoblastic Leukemia research (8 papers). The work is most often cited by research in Health Informatics (383 citations), Psychiatry and Mental health (1.3k citations), Family Practice (148 citations), Biological Psychiatry (184 citations) and Hematology (653 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 Zou, James Signorovitch, 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 Value in Health.

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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