Andrew Conroy
Impact in
- Toxicology top 10%
- Bioactive Compounds and Antitumor Agents
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- Cancer-related Molecular Pathways
Papers in
- Oncology 10
- CAR-T cell therapy research 5
- Cancer Immunotherapy and Biomarkers 2
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- Cancer therapeutics and mechanisms 3
- CRISPR and Genetic Engineering 2
- Kruppel-like factors research 1
- Co-authors
- Rachael E. Hawtin (5 shared papers)Judith A. Fox (4 shared papers)David E. Stockett (2 shared papers)Michelle R. Arkin (2 shared papers)Duncan Walker (1 shared paper)Ute Hoch (1 shared paper)Neil Osheroff (1 shared paper)Jo Ann W. Byl (1 shared paper)
- Journals
- Cancer Research (4 papers)Molecular Cancer Therapeutics (1 paper)Journal of Translational Medicine (1 paper)Journal of Clinical Oncology (1 paper)Current Issues in Molecular Biology (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Andrew Conroy
11 papers receiving 251 citations
Peers
Comparison fields: 5 of 46
- Toxicology 22
- Oncology 124
- Hematology 46
- Molecular Biology 165
- Organic Chemistry 60
Countries citing papers authored by Andrew Conroy
This map shows the geographic impact of Andrew Conroy'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 Andrew Conroy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Conroy more than expected).
Fields of papers citing papers by Andrew Conroy
This network shows the impact of papers produced by Andrew Conroy. 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 Andrew Conroy. The network helps show where Andrew Conroy may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew Conroy, 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 | 2010 | 127 | |
| 2 | 2009 | 106 | |
| 3 | 2014 | 6 | |
| 4 | Learning to Classify Utterances in a Task-Oriented Dialogue | 2003 | 4 |
| 5 | 2009 | 4 | |
| 6 | 2022 | 2 | |
| 7 | 2019 | 2 | |
| 8 | 2020 | 1 | |
| 9 | 2013 | 1 | |
| 10 | 2019 | 1 | |
| 11 | 2009 | 1 | |
| 12 | 2025 | 0 |
About Andrew Conroy
Andrew Conroy is a scholar working on Oncology, Molecular Biology, Pharmacology, Genetics and Genetics, having authored 12 papers that have together received 255 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Cancer therapeutics and mechanisms (3 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), CRISPR and Genetic Engineering (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Kruppel-like factors research (1 paper), Natural Language Processing Techniques (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Toxicology (22 citations), Oncology (124 citations), Hematology (46 citations), Molecular Biology (165 citations) and Organic Chemistry (60 citations). Andrew Conroy has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Rachael E. Hawtin, Judith A. Fox, David E. Stockett, Michelle R. Arkin, Duncan Walker, Ute Hoch, Neil Osheroff, Jo Ann W. Byl, Robert S. McDowell and Nguyêñ Duy Tân. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Journal of Translational Medicine, Journal of Clinical Oncology and Current Issues in Molecular Biology.
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.