Peter White
Impact in
- Genetics top 1%
- Diabetes and associated disorders
- Genetics and Neurodevelopmental Disorders
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- Diabetes Management and Research
Papers in
-
- RNA modifications and cancer 9
- Congenital heart defects research 8
- Genetics 36
- Genomics and Rare Diseases 11
- Genetics and Neurodevelopmental Disorders 9
- Genomic variations and chromosomal abnormalities 6
- Diabetes and associated disorders 5
- Co-authors
- Klaus H. Kaestner (25 shared papers)Nancy E. Cooke (2 shared papers)Nan Gao (5 shared papers)Geetu Tuteja (5 shared papers)M. J. Dauncey (6 shared papers)John Brestelli (6 shared papers)Jonathan Schug (5 shared papers)David Newsom (7 shared papers)
- Journals
- Molecular Case Studies (10 papers)iScience (4 papers)Journal of Biological Chemistry (4 papers)Cell Metabolism (4 papers)Scientific Reports (4 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Peter White
135 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 159
- Genetics 1.1k
- Endocrinology, Diabetes and Metabolism 538
- Surgery 1.4k
- Molecular Biology 2.2k
- Hepatology 162
Countries citing papers authored by Peter White
This map shows the geographic impact of Peter White'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 Peter White with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter White more than expected).
Fields of papers citing papers by Peter White
This network shows the impact of papers produced by Peter White. 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 Peter White. The network helps show where Peter White may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter White, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 296 | |
| 2 | 2000 | 288 | |
| 3 | 2011 | 249 | |
| 4 | 2005 | 214 | |
| 5 | 2010 | 203 | |
| 6 | 2008 | 156 | |
| 7 | 1974 | 136 | |
| 8 | 2009 | 134 | |
| 9 | 2007 | 133 | |
| 10 | 2014 | 129 | |
| 11 | 1980 | 125 | |
| 12 | 2009 | 108 | |
| 13 | 2015 | 103 | |
| 14 | 2004 | 99 | |
| 15 | 2008 | 90 | |
| 16 | 2007 | 87 | |
| 17 | 2009 | 84 | |
| 18 | 2009 | 79 | |
| 19 | 2001 | 76 | |
| 20 | 2007 | 74 |
About Peter White
Peter White is a scholar working on Molecular Biology, Genetics, Surgery, Physiology and Endocrinology, Diabetes and Metabolism, having authored 141 papers that have together received 5.4k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (18 papers), Genomics and Rare Diseases (11 papers), RNA modifications and cancer (9 papers), Genetics and Neurodevelopmental Disorders (9 papers), Congenital heart defects research (8 papers), Cancer Genomics and Diagnostics (7 papers), Genomic variations and chromosomal abnormalities (6 papers) and Diabetes and associated disorders (5 papers). The work is most often cited by research in Genetics (1.1k citations), Endocrinology, Diabetes and Metabolism (538 citations), Surgery (1.4k citations), Molecular Biology (2.2k citations) and Hepatology (162 citations). Peter White has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Klaus H. Kaestner, Nancy E. Cooke, Nan Gao, Geetu Tuteja, M. J. Dauncey, John Brestelli, Jonathan Schug, David Newsom, Benjamin Kelly and Nir Rubins. Their work appears in journals such as Molecular Case Studies, iScience, Journal of Biological Chemistry, Cell Metabolism and Scientific Reports.
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.