Shane Neph
Impact in
- Molecular Biology top 2%
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- Genomics and Phylogenetic Studies
- Mitochondrial Function and Pathology
- Cancer Research top 5%
Papers in ⓘ
-
- RNA and protein synthesis mechanisms 8
- Genomics and Chromatin Dynamics 7
- Genomics and Phylogenetic Studies 6
- RNA modifications and cancer 3
- Epigenetics and DNA Methylation 2
- Gene expression and cancer classification 2
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- Chromosomal and Genetic Variations 3
- Co-authors
- J Stamatoyannopoulos (12 shared papers)Alex Reynolds (7 shared papers)Richard Sandstrom (7 shared papers)Eric Haugen (3 shared papers)Robert E. Thurman (5 shared papers)Michael S. Kuehn (4 shared papers)Andrew B. Stergachis (4 shared papers)Richard Humbert (3 shared papers)
- Journals
- Cell (4 papers)Bioinformatics (2 papers)Nucleic Acids Research (2 papers)Nature Methods (1 paper)Nature Genetics (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Shane Neph
15 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 2.6k
- Cancer Research 398
- Aging 39
- Immunology 417
- Genetics 548
Countries citing papers authored by Shane Neph
This map shows the geographic impact of Shane Neph'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 Shane Neph with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shane Neph more than expected).
Fields of papers citing papers by Shane Neph
This network shows the impact of papers produced by Shane Neph. 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 Shane Neph. The network helps show where Shane Neph may publish in the future.
Co-authors
The 25 scholars most cited alongside Shane Neph, 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 | BEDOPS: high-performance genomic feature operations Hit paper breakdown → | 2012 | 635 |
| 2 | The Human Mitochondrial Transcriptome Hit paper breakdown → | 2011 | 631 |
| 3 | 2009 | 429 | |
| 4 | 2012 | 356 | |
| 5 | 2012 | 321 | |
| 6 | 2013 | 241 | |
| 7 | 2007 | 241 | |
| 8 | 2013 | 97 | |
| 9 | 2012 | 79 | |
| 10 | 2007 | 71 | |
| 11 | 2019 | 60 | |
| 12 | 2006 | 21 | |
| 13 | 2008 | 16 | |
| 14 | 2019 | 14 | |
| 15 | 2016 | 7 |
About Shane Neph
Shane Neph is a scholar working on Molecular Biology, Plant Science, Artificial Intelligence, Immunology and Genetics, having authored 15 papers that have together received 3.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (8 papers), Genomics and Chromatin Dynamics (7 papers), Genomics and Phylogenetic Studies (6 papers), RNA modifications and cancer (3 papers), Chromosomal and Genetic Variations (3 papers), Epigenetics and DNA Methylation (2 papers), Algorithms and Data Compression (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Molecular Biology (2.6k citations), Cancer Research (398 citations), Aging (39 citations), Immunology (417 citations) and Genetics (548 citations). Shane Neph has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include J Stamatoyannopoulos, Alex Reynolds, Richard Sandstrom, Eric Haugen, Robert E. Thurman, Michael S. Kuehn, Andrew B. Stergachis, Richard Humbert, Jeff Vierstra and Peter J. Sabo. Their work appears in journals such as Cell, Bioinformatics, Nucleic Acids Research, Nature Methods and Nature 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.