Mitchell E. Skinner
Impact in
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- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Amyloidosis: Diagnosis, Treatment, Outcomes
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
Papers in
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- Genomics and Phylogenetic Studies 4
- RNA and protein synthesis mechanisms 1
- Gene expression and cancer classification 1
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- Algorithms and Data Compression 2
- Co-authors
- Ian Holmes (4 shared papers)Andrew Uzilov (2 shared papers)Chris Mungall (1 shared paper)Lincoln Stein (1 shared paper)T Shirahama (1 shared paper)Cohen As (1 shared paper)Oscar Westesson (2 shared papers)Robert K. Bradley (1 shared paper)
- Journals
- Journal of Clinical Oncology (1 paper)Current Protocols in Bioinformatics (1 paper)Briefings in Bioinformatics (1 paper)Genome Research (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesCanadaSpain
In The Last Decade
Mitchell E. Skinner
7 papers receiving 702 citations
Mitchell E. Skinner's Hit Papers
Peers
Comparison fields: 5 of 76
- Molecular Biology 457
- Horticulture 6
- Genetics 120
- Plant Science 150
- Cancer Research 44
Countries citing papers authored by Mitchell E. Skinner
This map shows the geographic impact of Mitchell E. Skinner'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 Mitchell E. Skinner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitchell E. Skinner more than expected).
Fields of papers citing papers by Mitchell E. Skinner
This network shows the impact of papers produced by Mitchell E. Skinner. 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 Mitchell E. Skinner. The network helps show where Mitchell E. Skinner may publish in the future.
Co-authors
The 22 scholars most cited alongside Mitchell E. Skinner, 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 | JBrowse: A next-generation genome browser Hit paper breakdown → | 2009 | 549 |
| 2 | P-component (pentagonal unit) of amyloid: isolation, characterization, and sequence analysis. | 1974 | 76 |
| 3 | 2012 | 54 | |
| 4 | 2010 | 25 | |
| 5 | 2009 | 12 | |
| 6 | 2004 | 2 | |
| 7 | 2014 | 1 |
About Mitchell E. Skinner
Mitchell E. Skinner is a scholar working on Molecular Biology, Artificial Intelligence, Surgery, Genetics and Information Systems, having authored 7 papers that have together received 719 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Algorithms and Data Compression (2 papers), RNA and protein synthesis mechanisms (1 paper), Web Data Mining and Analysis (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Alzheimer's disease research and treatments (1 paper), Gene expression and cancer classification (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Molecular Biology (457 citations), Horticulture (6 citations), Genetics (120 citations), Plant Science (150 citations) and Cancer Research (44 citations). Mitchell E. Skinner has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Ian Holmes, Andrew Uzilov, Chris Mungall, Lincoln Stein, T Shirahama, Cohen As, Oscar Westesson, Robert K. Bradley, Lars Barquist and Catherine K. Foo. Their work appears in journals such as Journal of Clinical Oncology, Current Protocols in Bioinformatics, Briefings in Bioinformatics, Genome Research and PLoS ONE.
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.