Joseph Hackett
Impact in
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
- Statistics and Probability top 10%
- Statistical Methods in Clinical Trials
Papers in
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- Pharmacogenetics and Drug Metabolism 3
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- Biosimilars and Bioanalytical Methods 3
- Co-authors
- Steven I. Gutman (3 shared papers)Lawrence J. Lesko (2 shared papers)Emanuel F. Petricoin (2 shared papers)David W. Feigal (1 shared paper)Raj K. Puri (1 shared paper)Janet Woodcock (1 shared paper)Kathryn C. Zoon (1 shared paper)Frank D. Sistare (1 shared paper)
- Journals
- The Pharmacogenomics Journal (2 papers)Nature Genetics (2 papers)Pharmacogenomics (1 paper)The Journal of Clinical Pharmacology (1 paper)The American Journal of the Medical Sciences (1 paper)
- Partner nations
- United StatesThailandUnited Kingdom
In The Last Decade
Joseph Hackett
11 papers receiving 366 citations
Peers
Comparison fields: 5 of 77
- Pharmacology 70
- Statistics and Probability 36
- Computational Theory and Mathematics 64
- Molecular Biology 237
- Cancer Research 47
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 | 172 | |
| 2 | 2003 | 94 | |
| 3 | 2006 | 68 | |
| 4 | 2003 | 25 | |
| 5 | 2005 | 24 | |
| 6 | 1967 | 14 | |
| 7 | 2003 | 11 | |
| 8 | 2006 | 10 | |
| 9 | 2006 | 3 | |
| 10 | 2008 | 2 | |
| 11 | Medical applications of microarray technologies: a regulatory science perspective: a regulatory science perspective | 2002 | 1 |
| 12 | 1985 | 0 |
About Joseph Hackett
Joseph Hackett is a scholar working on Pharmacology, Immunology, Economics and Econometrics, Pediatrics, Perinatology and Child Health and Molecular Biology, having authored 12 papers that have together received 424 indexed citations. Recurring topics across this work include Gene expression and cancer classification (5 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers), Biosimilars and Bioanalytical Methods (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Pharmaceutical studies and practices (2 papers) and Pharmaceutical Economics and Policy (2 papers). The work is most often cited by research in Pharmacology (70 citations), Statistics and Probability (36 citations), Computational Theory and Mathematics (64 citations), Molecular Biology (237 citations) and Cancer Research (47 citations). Joseph Hackett has collaborated with scholars based in United States, Thailand and United Kingdom. Frequent co-authors include Steven I. Gutman, Lawrence J. Lesko, Emanuel F. Petricoin, David W. Feigal, Raj K. Puri, Janet Woodcock, Kathryn C. Zoon, Frank D. Sistare, Konstantin C. Chumakov and Lois M. Hinman. Their work appears in journals such as The Pharmacogenomics Journal, Nature Genetics, Pharmacogenomics, The Journal of Clinical Pharmacology and The American Journal of the Medical Sciences.
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.