Steven L. McKnight
- Aging top 0.2%
- Molecular Biology top 0.05%
- RNA Research and Splicing 38
- RNA and protein synthesis mechanisms 24
- RNA modifications and cancer 15
- Genomics and Chromatin Dynamics 13
- Viral Infectious Diseases and Gene Expression in Insects 11
- Cancer Research top 0.1%
- Endocrine and Autonomic Systems top 0.1%
- Circadian rhythm and melatonin 10
- Genetics top 0.1%
- Virus-based gene therapy research 18
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- Herpesvirus Infections and Treatments 18
- Co-authors
- Peter F. JohnsonWilliam LandschulzRobert C. KingsburyRichard K. BruickRobert M. UmekZ CaoLeeju C. WuMasato Kato
- Partner nations
- United StatesJapanSouth Africa
In The Last Decade
Steven L. McKnight
147 papers receiving 37.9k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Aging 702
- Molecular Biology 26.7k
- Cancer Research 5.6k
- Endocrine and Autonomic Systems 2.5k
- Genetics 6.2k
Countries citing papers authored by Steven L. McKnight
This map shows the geographic impact of Steven L. McKnight'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 L. McKnight with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven L. McKnight more than expected).
Fields of papers citing papers by Steven L. McKnight
This network shows the impact of papers produced by Steven L. McKnight. 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 L. McKnight. The network helps show where Steven L. McKnight may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steven L. McKnight, 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 | 2023 | 8 | |
| 2 | 2022 | 63 | |
| 3 | 2021 | 22 | |
| 4 | 2021 | 43 | |
| 5 | 2021 | 1 | |
| 6 | 2020 | 19 | |
| 7 | 2020 | 44 | |
| 8 | 2018 | 38 | |
| 9 | Poly-dipeptides encoded by the C9orf72 repeats bind nucleoli, impede RNA biogenesis, and kill cellsbreakdown → | 2014 | 465 |
| 10 | 2009 | 292 | |
| 11 | 2006 | 151 | |
| 12 | 2005 | 18 | |
| 13 | Logic of the Yeast Metabolic Cycle: Temporal Compartmentalization of Cellular Processesbreakdown → | 2005 | 697 |
| 14 | 2003 | 327 | |
| 15 | 2002 | 350 | |
| 16 | 2002 | 323 | |
| 17 | A Conserved Family of Prolyl-4-Hydroxylases That Modify HIFbreakdown → | 2001 | 2096 |
| 18 | 2001 | 451 | |
| 19 | 1997 | 164 | |
| 20 | 1992 | 11 |
About Steven L. McKnight
Steven L. McKnight is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Aging, having authored 149 papers that have together received 39.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (38 papers), RNA and protein synthesis mechanisms (24 papers), Herpesvirus Infections and Treatments (18 papers), Virus-based gene therapy research (18 papers), RNA modifications and cancer (15 papers), Genomics and Chromatin Dynamics (13 papers), Viral Infectious Diseases and Gene Expression in Insects (11 papers) and Circadian rhythm and melatonin (10 papers). The work is most often cited by research in Aging (702 citations), Molecular Biology (26.7k citations) and Cancer Research (5.6k citations). Steven L. McKnight has collaborated with scholars based in United States, Japan and South Africa. Frequent co-authors include Peter F. Johnson, William Landschulz, Robert C. Kingsbury, Richard K. Bruick, Robert M. Umek, Z Cao, Leeju C. Wu, Masato Kato, Barbara J. Graves and Martin Reick. Their work appears in journals such as Nature, Science and Cell.
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.