William E. Nash
Impact in
- Genetics top 0.5%
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
- Animal Genetics and Reproduction
- Developmental Neuroscience top 1%
Papers in
-
- Hormonal Regulation and Hypertension 5
-
- Enterobacteriaceae and Cronobacter Research 1
- Co-authors
- Zhi‐Hong Jiang (1 shared paper)Jane Y. Wu (1 shared paper)Sophie Dupuis (1 shared paper)Lijuan Zhou (1 shared paper)David M. Ornitz (1 shared paper)Wenlin Yuan (1 shared paper)Wei Wu (1 shared paper)Yi Rao (1 shared paper)
- Journals
- Nature (4 papers)The Journal of Steroid Biochemistry and Molecular Biology (3 papers)Journal of Biological Chemistry (2 papers)Nature Genetics (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
William E. Nash
13 papers receiving 8.1k citations
William E. Nash's Hit Papers
Peers
Comparison fields: 5 of 159
- Genetics 3.0k
- Developmental Neuroscience 327
- Molecular Biology 5.0k
- Endocrinology 350
- Plant Science 2.1k
Countries citing papers authored by William E. Nash
This map shows the geographic impact of William E. Nash'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 William E. Nash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William E. Nash more than expected).
Fields of papers citing papers by William E. Nash
This network shows the impact of papers produced by William E. Nash. 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 William E. Nash. The network helps show where William E. Nash may publish in the future.
Co-authors
The 25 scholars most cited alongside William E. Nash, 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 | Initial sequencing and comparative analysis of the mouse genome Hit paper breakdown → | 2002 | 5361 |
| 2 | The male-specific region of the human Y chromosome is a mosaic of discrete sequence classes Hit paper breakdown → | 2003 | 1637 |
| 3 | 1999 | 410 | |
| 4 | 2004 | 329 | |
| 5 | 2003 | 222 | |
| 6 | 2010 | 188 | |
| 7 | 2005 | 73 | |
| 8 | 1995 | 42 | |
| 9 | 1998 | 34 | |
| 10 | 1993 | 28 | |
| 11 | 1994 | 11 | |
| 12 | 1994 | 7 | |
| 13 | 1996 | 3 |
About William E. Nash
William E. Nash is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrinology, Cell Biology, Genetics and Molecular Biology, having authored 13 papers that have together received 8.3k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (5 papers), Genomics and Chromatin Dynamics (4 papers), Aldose Reductase and Taurine (3 papers), Chromosomal and Genetic Variations (3 papers), Steroid Chemistry and Biochemistry (2 papers), RNA and protein synthesis mechanisms (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper) and Enterobacteriaceae and Cronobacter Research (1 paper). The work is most often cited by research in Genetics (3.0k citations), Developmental Neuroscience (327 citations), Molecular Biology (5.0k citations), Endocrinology (350 citations) and Plant Science (2.1k citations). William E. Nash has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Zhi‐Hong Jiang, Jane Y. Wu, Sophie Dupuis, Lijuan Zhou, David M. Ornitz, Wenlin Yuan, Wei Wu, Yi Rao, James Lawrence Thomas and Ronald C. Strickler. Their work appears in journals such as Nature, The Journal of Steroid Biochemistry and Molecular Biology, Journal of Biological Chemistry, Nature Genetics and PLoS ONE.
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.