Oliver D. King
Impact in
- Aging top 2%
- Molecular Biology top 1%
- RNA Research and Splicing
- Prion Diseases and Protein Misfolding
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- Muscle Physiology and Disorders
Papers in
-
- Prion Diseases and Protein Misfolding 13
- Muscle Physiology and Disorders 12
- Bioinformatics and Genomic Networks 9
- RNA Research and Splicing 9
- RNA modifications and cancer 6
- Fungal and yeast genetics research 5
- Co-authors
- James ShorterAaron D. GitlerSusan LindquistFrederick P. RothSimon AlbertiRandal HalfmannLeslie A. LangeAlex K. Lancaster
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Bioinformatics (4 papers)PLoS ONE (3 papers)Clinical Epigenetics (2 papers)Human Molecular Genetics (2 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Oliver D. King
62 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Aging 157
- Molecular Biology 5.3k
- Neurology 595
- Neurology 1.0k
- Genetics 623
Countries citing papers authored by Oliver D. King
This map shows the geographic impact of Oliver D. King'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 Oliver D. King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oliver D. King more than expected).
Fields of papers citing papers by Oliver D. King
This network shows the impact of papers produced by Oliver D. King. 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 Oliver D. King. The network helps show where Oliver D. King may publish in the future.
Co-authors
The 25 scholars most cited alongside Oliver D. King, 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 | 31 | |
| 3 | 2022 | 0 | |
| 4 | 2020 | 45 | |
| 5 | 2016 | 161 | |
| 6 | 2015 | 59 | |
| 7 | 2014 | 43 | |
| 8 | Using the Mouse Grimace Scale to reevaluate the efficacy of postoperative analgesics in laboratory mice. | 2012 | 188 |
| 9 | 2012 | 21 | |
| 10 | 2012 | 139 | |
| 11 | 2011 | 150 | |
| 12 | 2009 | 108 | |
| 13 | 2004 | 137 | |
| 14 | 2004 | 92 | |
| 15 | 2003 | 350 | |
| 16 | 2003 | 98 | |
| 17 | 2003 | 47 | |
| 18 | 2003 | 11 | |
| 19 | 2002 | 23 | |
| 20 | 2001 | 15 |
About Oliver D. King
Oliver D. King is a scholar working on Molecular Biology, Discrete Mathematics and Combinatorics, Neurology, Neurology and Genetics, having authored 63 papers that have together received 7.3k indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (13 papers), Muscle Physiology and Disorders (12 papers), Bioinformatics and Genomic Networks (9 papers), RNA Research and Splicing (9 papers), Amyotrophic Lateral Sclerosis Research (7 papers), RNA modifications and cancer (6 papers), Neurogenetic and Muscular Disorders Research (5 papers) and Fungal and yeast genetics research (5 papers). The work is most often cited by research in Aging (157 citations), Molecular Biology (5.3k citations), Neurology (595 citations), Neurology (1.0k citations) and Genetics (623 citations). Oliver D. King has collaborated with scholars based in United States, Canada and China. Frequent co-authors include James Shorter, Aaron D. Gitler, Susan Lindquist, Frederick P. Roth, Simon Alberti, Randal Halfmann, Leslie A. Lange, Alex K. Lancaster, Joanna Masel and Gabriel F. Berriz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioinformatics, PLoS ONE, Clinical Epigenetics and Human Molecular Genetics.
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.