David E. Sterner
- Molecular Biology top 2%
- Ubiquitin and proteasome pathways 13
- Genomics and Chromatin Dynamics 12
- Fungal and yeast genetics research 10
- RNA Research and Splicing 5
- Protein Degradation and Inhibitors 4
- Histone Deacetylase Inhibitors Research 4
- Microbial Metabolic Engineering and Bioproduction 3
- Geriatrics and Gerontology top 5%
- Aging top 10%
- Oncology top 5%
- Peptidase Inhibition and Analysis 4
- Virology top 10%
- Co-authors
- Shelley L. BergerRimma BelotserkovskayaJerry L. WorkmanLaura J. DugganPatrick A. GrantArno L. GreenleafMichael R. MatternFred Winston
- Journals
- Molecular and Cellular Biology (4 papers)SLAS DISCOVERY (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesFranceBulgaria
In The Last Decade
David E. Sterner
31 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Molecular Biology 3.1k
- Geriatrics and Gerontology 80
- Aging 35
- Oncology 483
- Virology 56
Countries citing papers authored by David E. Sterner
This map shows the geographic impact of David E. Sterner'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 E. Sterner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Sterner more than expected).
Fields of papers citing papers by David E. Sterner
This network shows the impact of papers produced by David E. Sterner. 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 E. Sterner. The network helps show where David E. Sterner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David E. Sterner, 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 | 2025 | 0 | |
| 2 | 2024 | 12 | |
| 3 | 2022 | 2 | |
| 4 | 2021 | 29 | |
| 5 | 2019 | 27 | |
| 6 | 2016 | 91 | |
| 7 | 2015 | 7 | |
| 8 | 2014 | 10 | |
| 9 | 2013 | 22 | |
| 10 | 2012 | 20 | |
| 11 | 2008 | 19 | |
| 12 | 2008 | 115 | |
| 13 | 2006 | 234 | |
| 14 | 2005 | 24 | |
| 15 | 2005 | 68 | |
| 16 | 2002 | 99 | |
| 17 | 1999 | 154 | |
| 18 | 1998 | 147 | |
| 19 | 1997 | 19 | |
| 20 | 1995 | 122 |
About David E. Sterner
David E. Sterner is a scholar working on Molecular Biology, Oncology, Epidemiology, Infectious Diseases and Immunology, having authored 32 papers that have together received 3.5k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (13 papers), Genomics and Chromatin Dynamics (12 papers), Fungal and yeast genetics research (10 papers), RNA Research and Splicing (5 papers), Protein Degradation and Inhibitors (4 papers), Peptidase Inhibition and Analysis (4 papers), Histone Deacetylase Inhibitors Research (4 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). The work is most often cited by research in Molecular Biology (3.1k citations), Geriatrics and Gerontology (80 citations), Aging (35 citations), Oncology (483 citations) and Virology (56 citations). David E. Sterner has collaborated with scholars based in United States, France and Bulgaria. Frequent co-authors include Shelley L. Berger, Rimma Belotserkovskaya, Jerry L. Workman, Laura J. Duggan, Patrick A. Grant, Arno L. Greenleaf, Michael R. Mattern, Fred Winston, Tauseef R. Butt and Jae Moon Lee. Their work appears in journals such as Molecular and Cellular Biology, SLAS DISCOVERY, Proceedings of the National Academy of Sciences, Cell Biochemistry and Biophysics 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.