David Whiteman
Impact in
- Public Administration top 5%
- Public Policy and Administration Research
- Physiology top 5%
- Lysosomal Storage Disorders Research
Papers in
- Physiology 27
- Lysosomal Storage Disorders Research 27
- Epidemiology 14
- Trypanosoma species research and implications 13
- Co-authors
- Kathryn N. North (3 shared papers)Alan Kimura (2 shared papers)Barbara K. Burton (9 shared papers)Paul Sabatier (1 shared paper)Peter H. Byers (1 shared paper)Melanie Pepin (1 shared paper)Arian Pano (4 shared papers)Roberto Giugliani (7 shared papers)
- Journals
- Molecular Genetics and Metabolism (11 papers)Mayo Clinic Proceedings (4 papers)Orphanet Journal of Rare Diseases (3 papers)Genetics in Medicine (3 papers)Journal of Inherited Metabolic Disease (3 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
David Whiteman
65 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 127
- Public Administration 91
- Physiology 585
- Rheumatology 250
- Physiology 54
- Genetics 332
Countries citing papers authored by David Whiteman
This map shows the geographic impact of David Whiteman'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 David Whiteman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Whiteman more than expected).
Fields of papers citing papers by David Whiteman
This network shows the impact of papers produced by David Whiteman. 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 David Whiteman. The network helps show where David Whiteman may publish in the future.
Co-authors
The 25 scholars most cited alongside David Whiteman, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 173 | |
| 2 | 1995 | 120 | |
| 3 | 1986 | 84 | |
| 4 | 1993 | 76 | |
| 5 | 2017 | 64 | |
| 6 | 2011 | 61 | |
| 7 | 1985 | 60 | |
| 8 | 1985 | 60 | |
| 9 | 2004 | 55 | |
| 10 | 2013 | 51 | |
| 11 | 2017 | 47 | |
| 12 | 1991 | 46 | |
| 13 | 2013 | 43 | |
| 14 | 1988 | 41 | |
| 15 | 1995 | 35 | |
| 16 | 1985 | 32 | |
| 17 | 2013 | 31 | |
| 18 | 1985 | 30 | |
| 19 | 1996 | 28 | |
| 20 | 1994 | 26 |
About David Whiteman
David Whiteman is a scholar working on Physiology, Epidemiology, Genetics, Molecular Biology and Rheumatology, having authored 72 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (27 papers), Trypanosoma species research and implications (13 papers), Glycogen Storage Diseases and Myoclonus (10 papers), Family and Disability Support Research (5 papers), Neurogenetic and Muscular Disorders Research (5 papers), Autoimmune and Inflammatory Disorders Research (4 papers), RNA regulation and disease (4 papers) and Craniofacial Disorders and Treatments (4 papers). The work is most often cited by research in Public Administration (91 citations), Physiology (585 citations), Rheumatology (250 citations), Physiology (54 citations) and Genetics (332 citations). David Whiteman has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Kathryn N. North, Alan Kimura, Barbara K. Burton, Paul Sabatier, Peter H. Byers, Melanie Pepin, Arian Pano, Roberto Giugliani, Paul Harmatz and Joseph Muenzer. Their work appears in journals such as Molecular Genetics and Metabolism, Mayo Clinic Proceedings, Orphanet Journal of Rare Diseases, Genetics in Medicine and Journal of Inherited Metabolic Disease.
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.