Joseph Hackett
Impact in
- Statistics and Probability top 10%
- Statistical Methods in Clinical Trials
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- Gene expression and cancer classification
- Advanced Biosensing Techniques and Applications
- Molecular Biology Techniques and Applications
- Bioinformatics and Genomic Networks
Papers in
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- Gene expression and cancer classification 5
- Genetics, Bioinformatics, and Biomedical Research 3
- Advanced Biosensing Techniques and Applications 2
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- Pharmacogenetics and Drug Metabolism 3
- Co-authors
- Steven Gutman (3 shared papers)Lawrence J. Lesko (2 shared papers)Kathryn C. Zoon (1 shared paper)Raj K. Puri (1 shared paper)David W. Feigal (1 shared paper)Janet Woodcock (1 shared paper)Emanuel F. Petricoin (2 shared papers)Konstantin Chumakov (1 shared paper)
- Journals
- Nature Genetics (2 papers)The Pharmacogenomics Journal (2 papers)Pharmacogenomics (1 paper)Expert Review of Molecular Diagnostics (1 paper)Journal of Proteome Research (1 paper)
- Partner nations
- United StatesThailandCanada
In The Last Decade
Joseph Hackett
10 papers receiving 277 citations
Peers
Comparison fields: 5 of 71
- Statistics and Probability 26
- Molecular Biology 195
- Pharmacology 23
- Cancer Research 37
- Computational Theory and Mathematics 35
Countries citing papers authored by Joseph Hackett
This map shows the geographic impact of Joseph Hackett'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 Joseph Hackett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Hackett more than expected).
Fields of papers citing papers by Joseph Hackett
This network shows the impact of papers produced by Joseph Hackett. 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 Joseph Hackett. The network helps show where Joseph Hackett may publish in the future.
Co-authors
The 25 scholars most cited alongside Joseph Hackett, 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 | 2002 | 166 | |
| 2 | 2006 | 60 | |
| 3 | 2003 | 22 | |
| 4 | 2005 | 18 | |
| 5 | 1967 | 14 | |
| 6 | 2003 | 10 | |
| 7 | 2006 | 7 | |
| 8 | 2006 | 4 | |
| 9 | Medical applications of microarray technologies: a regulatory science perspective: a regulatory science perspective | 2002 | 1 |
| 10 | 2025 | 1 | |
| 11 | 2008 | 1 | |
| 12 | 1985 | 0 |
About Joseph Hackett
Joseph Hackett is a scholar working on Molecular Biology, Pharmacology, Economics and Econometrics, Genetics and Immunology, having authored 12 papers that have together received 304 indexed citations. Recurring topics across this work include Gene expression and cancer classification (5 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Biosimilars and Bioanalytical Methods (2 papers), Pharmaceutical Economics and Policy (2 papers), Advanced Biosensing Techniques and Applications (2 papers) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Statistics and Probability (26 citations), Molecular Biology (195 citations), Pharmacology (23 citations), Cancer Research (37 citations) and Computational Theory and Mathematics (35 citations). Joseph Hackett has collaborated with scholars based in United States, Thailand and Canada. Frequent co-authors include Steven Gutman, Lawrence J. Lesko, Kathryn C. Zoon, Raj K. Puri, David W. Feigal, Janet Woodcock, Emanuel F. Petricoin, Konstantin Chumakov, Frank D. Sistare and Lois M. Hinman. Their work appears in journals such as Nature Genetics, The Pharmacogenomics Journal, Pharmacogenomics, Expert Review of Molecular Diagnostics and Journal of Proteome 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.