Steven E. Scherer
Impact in
- Sensory Systems top 5%
- Hearing, Cochlea, Tinnitus, Genetics
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
-
- Epigenetics and DNA Methylation 4
- Genetics 9
- Co-authors
- Richard A. Gibbs (9 shared papers)Gábor Veres (2 shared papers)C. Thomas Caskey (2 shared papers)Dianna M. Milewicz (2 shared papers)Jie Li (1 shared paper)Lewis C. Cantley (1 shared paper)Zhenlin Ju (1 shared paper)Mary D. Dyer (1 shared paper)
- Journals
- Genome Research (3 papers)BMC Medical Genomics (2 papers)Laboratory Investigation (2 papers)Journal of Molecular Diagnostics (2 papers)Scientific Reports (1 paper)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Steven E. Scherer
36 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 109
- Sensory Systems 105
- Cancer Research 276
- Genetics 466
- Cardiology and Cardiovascular Medicine 303
- Molecular Biology 906
Countries citing papers authored by Steven E. Scherer
This map shows the geographic impact of Steven E. Scherer'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 Steven E. Scherer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven E. Scherer more than expected).
Fields of papers citing papers by Steven E. Scherer
This network shows the impact of papers produced by Steven E. Scherer. 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 Steven E. Scherer. The network helps show where Steven E. Scherer may publish in the future.
Co-authors
The 25 scholars most cited alongside Steven E. Scherer, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 352 | |
| 2 | 2006 | 223 | |
| 3 | 1987 | 204 | |
| 4 | 2007 | 195 | |
| 5 | 2013 | 140 | |
| 6 | 2012 | 108 | |
| 7 | 2003 | 96 | |
| 8 | 2008 | 94 | |
| 9 | 2006 | 53 | |
| 10 | 2013 | 42 | |
| 11 | 1997 | 34 | |
| 12 | 2012 | 29 | |
| 13 | 2022 | 28 | |
| 14 | 1988 | 27 | |
| 15 | 2001 | 26 | |
| 16 | 2001 | 25 | |
| 17 | 1998 | 24 | |
| 18 | 2022 | 22 | |
| 19 | 2017 | 18 | |
| 20 | 2016 | 18 |
About Steven E. Scherer
Steven E. Scherer is a scholar working on Molecular Biology, Genetics, Oncology, Pharmacology and Cardiology and Cardiovascular Medicine, having authored 37 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (7 papers), Neuroscience and Neuropharmacology Research (4 papers), Epigenetics and DNA Methylation (4 papers), Genetic factors in colorectal cancer (3 papers), Cancer Genomics and Diagnostics (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Bladder and Urothelial Cancer Treatments (3 papers) and Hormonal Regulation and Hypertension (3 papers). The work is most often cited by research in Sensory Systems (105 citations), Cancer Research (276 citations), Genetics (466 citations), Cardiology and Cardiovascular Medicine (303 citations) and Molecular Biology (906 citations). Steven E. Scherer has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Richard A. Gibbs, Gábor Veres, C. Thomas Caskey, Dianna M. Milewicz, Jie Li, Lewis C. Cantley, Zhenlin Ju, Mary D. Dyer, Shuangxing Yu and Bryan T. Hennessy. Their work appears in journals such as Genome Research, BMC Medical Genomics, Laboratory Investigation, Journal of Molecular Diagnostics 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.