Steven L. McKnight
- Molecular Biology top 0.05%
- Genetics top 0.1%
- Cancer Research top 0.1%
- Immunology top 0.5%
- Physiology top 0.2%
- Co-authors
- Peter F. JohnsonWilliam LandschulzRobert C. KingsburyRichard K. BruickRobert M. UmekZ CaoLeeju C. WuMasato Kato
- Topics
- RNA Research and Splicing (38 papers)RNA and protein synthesis mechanisms (24 papers)Herpesvirus Infections and Treatments (18 papers)
- 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
- Molecular Biology 26.7k
- Genetics 6.2k
- Cancer Research 5.6k
- Immunology 4.3k
- Physiology 4.0k
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 of co-authors of Steven L. McKnight
This figure shows the co-authorship network connecting the top 25 collaborators of Steven L. McKnight. A scholar is included among the top collaborators of Steven L. McKnight based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Steven L. McKnight. Steven L. McKnight is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 63 | |
| 3 | 22 | |
| 4 | 43 | |
| 5 | 1 | |
| 6 | 19 | |
| 7 | 44 | |
| 8 | 38 | |
| 9 | Poly-dipeptides encoded by the C9orf72 repeats bind nucleoli, impede RNA biogenesis, and kill cellsbreakdown → | 465 |
| 10 | 292 | |
| 11 | 151 | |
| 12 | 18 | |
| 13 | Logic of the Yeast Metabolic Cycle: Temporal Compartmentalization of Cellular Processesbreakdown → | 697 |
| 14 | 327 | |
| 15 | 350 | |
| 16 | 323 | |
| 17 | A Conserved Family of Prolyl-4-Hydroxylases That Modify HIFbreakdown → | 2096 |
| 18 | 451 | |
| 19 | 164 | |
| 20 | 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) and Herpesvirus Infections and Treatments (18 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.