Scott Sproul
Impact in
- Genetics top 10%
- Virus-based gene therapy research
Papers in
-
- CRISPR and Genetic Engineering 10
- Biochemical and Molecular Research 3
- Glycosylation and Glycoproteins Research 2
-
- Lysosomal Storage Disorders Research 8
- Co-authors
- Michael C. Holmes (16 shared papers)Thomas Wechsler (16 shared papers)Russell C. DeKelver (11 shared papers)Julianne Rieders (1 shared paper)Yannick Doyon (1 shared paper)Jeffrey C. Miller (1 shared paper)David A. Shivak (1 shared paper)David E. Paschon (2 shared papers)
- Journals
- Molecular Genetics and Metabolism (7 papers)Molecular Therapy (6 papers)Blood (2 papers)Molecular Therapy — Methods & Clinical Development (1 paper)Cancer Research (1 paper)
- Partner nations
- United States
In The Last Decade
Scott Sproul
17 papers receiving 451 citations
Peers
Comparison fields: 5 of 45
- Business and International Management 23
- Genetics 227
- Physiology 149
- Molecular Biology 344
- Physiology 14
Countries citing papers authored by Scott Sproul
This map shows the geographic impact of Scott Sproul'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 Sproul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Sproul more than expected).
Fields of papers citing papers by Scott Sproul
This network shows the impact of papers produced by Scott Sproul. 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 Sproul. The network helps show where Scott Sproul may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott Sproul, 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 | 2015 | 235 | |
| 2 | 2018 | 91 | |
| 3 | 2018 | 64 | |
| 4 | 2020 | 41 | |
| 5 | 2021 | 13 | |
| 6 | 2015 | 3 | |
| 7 | 2015 | 3 | |
| 8 | 2015 | 2 | |
| 9 | 2016 | 1 | |
| 10 | 2017 | 1 | |
| 11 | 2016 | 1 | |
| 12 | 2018 | 1 | |
| 13 | 2018 | 1 | |
| 14 | 2018 | 1 | |
| 15 | 2016 | 1 | |
| 16 | 2017 | 1 | |
| 17 | 2011 | 1 |
About Scott Sproul
Scott Sproul is a scholar working on Molecular Biology, Physiology, Genetics, Epidemiology and Genetics, having authored 17 papers that have together received 461 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (10 papers), Lysosomal Storage Disorders Research (8 papers), Virus-based gene therapy research (7 papers), Biochemical and Molecular Research (3 papers), Trypanosoma species research and implications (3 papers), Glycosylation and Glycoproteins Research (2 papers), Neurogenetic and Muscular Disorders Research (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Business and International Management (23 citations), Genetics (227 citations), Physiology (149 citations), Molecular Biology (344 citations) and Physiology (14 citations). Scott Sproul has collaborated with scholars based in United States. Frequent co-authors include Michael C. Holmes, Thomas Wechsler, Russell C. DeKelver, Julianne Rieders, Yannick Doyon, Jeffrey C. Miller, David A. Shivak, David E. Paschon, Edward J. Rebar and Philip D. Gregory. Their work appears in journals such as Molecular Genetics and Metabolism, Molecular Therapy, Blood, Molecular Therapy — Methods & Clinical Development and Cancer Research.
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.