Peter C. Sapp
Impact in
Papers in
- Co-authors
- Robert H. Brown (26 shared papers)Diane McKenna‐Yasek (18 shared papers)H. Robert Horvitz (11 shared papers)D. McKenna‐Yasek (8 shared papers)Daryl A. Bosco (3 shared papers)Thomas J. Kwiatkowski (3 shared papers)John E. Landers (9 shared papers)Lawrence J. Hayward (2 shared papers)
- Journals
- Human Molecular Genetics (4 papers)Neurology (4 papers)Neurogenetics (3 papers)The American Journal of Human Genetics (2 papers)Neurobiology of Aging (2 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Peter C. Sapp
34 papers receiving 2.3k citations
Peter C. Sapp's Hit Papers
Peers
Comparison fields: 5 of 74
- Neurology 1.8k
- Genetics 1.0k
- Neurology 564
- Cellular and Molecular Neuroscience 258
- Biochemistry 102
Countries citing papers authored by Peter C. Sapp
This map shows the geographic impact of Peter C. Sapp'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 C. Sapp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter C. Sapp more than expected).
Fields of papers citing papers by Peter C. Sapp
This network shows the impact of papers produced by Peter C. Sapp. 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 C. Sapp. The network helps show where Peter C. Sapp may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter C. Sapp, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 433 | |
| 2 | Linkage of a Gene Causing Familial Amyotrophic Lateral Sclerosis to Chromosome 21 and Evidence of Genetic-Locus Heterogeneity Hit paper breakdown → | 1991 | 310 |
| 3 | 2011 | 141 | |
| 4 | 1994 | 138 | |
| 5 | 2009 | 131 | |
| 6 | 1994 | 131 | |
| 7 | 2003 | 104 | |
| 8 | 1995 | 98 | |
| 9 | 2014 | 87 | |
| 10 | 1994 | 68 | |
| 11 | 2010 | 62 | |
| 12 | 2004 | 61 | |
| 13 | 2015 | 61 | |
| 14 | 2014 | 57 | |
| 15 | 1994 | 56 | |
| 16 | 2009 | 52 | |
| 17 | 2012 | 50 | |
| 18 | 1995 | 49 | |
| 19 | 2008 | 48 | |
| 20 | 1998 | 41 |
About Peter C. Sapp
Peter C. Sapp is a scholar working on Neurology, Genetics, Neurology, Molecular Biology and Biomaterials, having authored 34 papers that have together received 2.4k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (29 papers), Neurogenetic and Muscular Disorders Research (14 papers), Neurological diseases and metabolism (11 papers), Parkinson's Disease Mechanisms and Treatments (8 papers), biodegradable polymer synthesis and properties (4 papers), Alzheimer's disease research and treatments (3 papers), Prion Diseases and Protein Misfolding (2 papers) and Muscle Physiology and Disorders (2 papers). The work is most often cited by research in Neurology (1.8k citations), Genetics (1.0k citations), Neurology (564 citations), Cellular and Molecular Neuroscience (258 citations) and Biochemistry (102 citations). Peter C. Sapp has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Robert H. Brown, Diane McKenna‐Yasek, H. Robert Horvitz, D. McKenna‐Yasek, Daryl A. Bosco, Thomas J. Kwiatkowski, John E. Landers, Lawrence J. Hayward, D.R. Rosen and Christopher J. Burke. Their work appears in journals such as Human Molecular Genetics, Neurology, Neurogenetics, The American Journal of Human Genetics and Neurobiology of Aging.
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.