Fred A. Wright
- Cancer Research top 2%
- Carcinogens and Genotoxicity Assessment 15
- Genetics top 1%
- Genetic Associations and Epidemiology 30
- Genetic Mapping and Diversity in Plants and Animals 27
- Genetic and phenotypic traits in livestock 22
- Molecular Biology top 2%
- Gene expression and cancer classification 33
- Epigenetics and DNA Methylation 12
-
- Effects and risks of endocrine disrupting chemicals 15
- Small Animals top 2%
-
- Computational Drug Discovery Methods 14
- Co-authors
- Ivan RusynAlbert de la ChapelleFei ZouWilliam T. BarryAndrew B. NobelWeihsueh A. ChiuYi‐Hui ZhouWilliam J. Lemon
- Journals
- The American Journal of Human Genetics (10 papers)Toxicological Sciences (10 papers)Bioinformatics (9 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Fred A. Wright
183 papers receiving 8.0k citations
Peers
Comparison fields: 5 of 189
- Cancer Research 954
- Genetics 1.8k
- Molecular Biology 3.7k
- Health, Toxicology and Mutagenesis 677
- Small Animals 229
Countries citing papers authored by Fred A. Wright
This map shows the geographic impact of Fred A. Wright'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 Fred A. Wright with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred A. Wright more than expected).
Fields of papers citing papers by Fred A. Wright
This network shows the impact of papers produced by Fred A. Wright. 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 Fred A. Wright. The network helps show where Fred A. Wright may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fred A. Wright, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 8 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 7 | |
| 9 | 2022 | 34 | |
| 10 | 2020 | 12 | |
| 11 | 2019 | 22 | |
| 12 | HT-eQTL: Integrative eQTL Analysis in a Large Number of Human Tissues | 2017 | 1 |
| 13 | 2017 | 35 | |
| 14 | 2015 | 74 | |
| 15 | 2009 | 18 | |
| 16 | 2001 | 226 | |
| 17 | 2001 | 13 | |
| 18 | 2001 | 48 | |
| 19 | 1998 | 94 | |
| 20 | 1993 | 340 |
About Fred A. Wright
Fred A. Wright is a scholar working on Chemical Health and Safety, Genetics and Health, Toxicology and Mutagenesis, having authored 195 papers that have together received 8.2k indexed citations. Recurring topics across this work include Gene expression and cancer classification (33 papers), Genetic Associations and Epidemiology (30 papers), Genetic Mapping and Diversity in Plants and Animals (27 papers), Genetic and phenotypic traits in livestock (22 papers), Carcinogens and Genotoxicity Assessment (15 papers), Effects and risks of endocrine disrupting chemicals (15 papers), Computational Drug Discovery Methods (14 papers) and Epigenetics and DNA Methylation (12 papers). The work is most often cited by research in Cancer Research (954 citations), Genetics (1.8k citations) and Molecular Biology (3.7k citations). Fred A. Wright has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Ivan Rusyn, Albert de la Chapelle, Fei Zou, William T. Barry, Andrew B. Nobel, Weihsueh A. Chiu, Yi‐Hui Zhou, William J. Lemon, Ralf Krahe and Michael R. Knowles. Their work appears in journals such as The American Journal of Human Genetics, Toxicological Sciences, Bioinformatics, Biometrics and Environmental Health Perspectives.
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.