Scott Topper
Impact in
- Genetics top 5%
- Genomics and Rare Diseases
- BRCA gene mutations in cancer
- Genomic variations and chromosomal abnormalities
- Genetics and Neurodevelopmental Disorders
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in ⓘ
- Genetics 11
- Genomics and Rare Diseases 9
- Genomic variations and chromosomal abnormalities 7
- Genetics and Neurodevelopmental Disorders 4
- BRCA gene mutations in cancer 3
- Genetic Associations and Epidemiology 1
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- Cancer Genomics and Diagnostics 4
- Co-authors
- Keith Nykamp (5 shared papers)Yuya Kobayashi (4 shared papers)John Garcia (3 shared papers)Martin P. Powers (2 shared papers)Blanca Herrera (2 shared papers)M. Jody Westbrook (1 shared paper)Nila Patil (1 shared paper)Janita Thusberg (1 shared paper)
- Journals
- Genetics in Medicine (3 papers)Clinical Genetics (2 papers)Journal of Molecular Diagnostics (2 papers)Human Mutation (1 paper)British Journal of Cancer (1 paper)
- Partner nations
- United StatesAustraliaIsrael
In The Last Decade
Scott Topper
16 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Genetics 574
- Cancer Research 181
- Molecular Biology 553
- Pathology and Forensic Medicine 115
- Genetics 53
Countries citing papers authored by Scott Topper
This map shows the geographic impact of Scott Topper'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 Scott Topper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Topper more than expected).
Fields of papers citing papers by Scott Topper
This network shows the impact of papers produced by Scott Topper. 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 Scott Topper. The network helps show where Scott Topper may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott Topper, 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 | Sherloc: a comprehensive refinement of the ACMG–AMP variant classification criteria Hit paper breakdown → | 2017 | 465 |
| 2 | 2011 | 237 | |
| 3 | 2017 | 129 | |
| 4 | 2017 | 68 | |
| 5 | 2019 | 66 | |
| 6 | 2011 | 48 | |
| 7 | 2020 | 27 | |
| 8 | 2013 | 25 | |
| 9 | 2017 | 22 | |
| 10 | 2015 | 21 | |
| 11 | 2016 | 19 | |
| 12 | 2020 | 12 | |
| 13 | 2015 | 11 | |
| 14 | 2015 | 11 | |
| 15 | 2021 | 2 | |
| 16 | 2024 | 1 |
About Scott Topper
Scott Topper is a scholar working on Genetics, Cancer Research, Molecular Biology, Cell Biology and Pathology and Forensic Medicine, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (9 papers), Genomic variations and chromosomal abnormalities (7 papers), Cancer Genomics and Diagnostics (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), BRCA gene mutations in cancer (3 papers), Cardiac electrophysiology and arrhythmias (1 paper), Genetic Associations and Epidemiology (1 paper) and Mobile Health and mHealth Applications (1 paper). The work is most often cited by research in Genetics (574 citations), Cancer Research (181 citations), Molecular Biology (553 citations), Pathology and Forensic Medicine (115 citations) and Genetics (53 citations). Scott Topper has collaborated with scholars based in United States, Australia and Israel. Frequent co-authors include Keith Nykamp, Yuya Kobayashi, John Garcia, Martin P. Powers, Blanca Herrera, M. Jody Westbrook, Nila Patil, Janita Thusberg, Michael J. Anderson and Yuan-Yuan Ho. Their work appears in journals such as Genetics in Medicine, Clinical Genetics, Journal of Molecular Diagnostics, Human Mutation and British Journal of Cancer.
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.