Brian Cole
Impact in
- Software top 10%
- Ophthalmology top 10%
- Glaucoma and retinal disorders
Papers in
-
- RNA Research and Splicing 4
- RNA and protein synthesis mechanisms 2
- Bioinformatics and Genomic Networks 2
- RNA regulation and disease 2
- Genetics 3
- Genomics and Rare Diseases 2
- Co-authors
- Kristen W. Lynch (5 shared papers)Ganesh Shankarling (3 shared papers)Michael J. Mallory (3 shared papers)Jason H. Moore (5 shared papers)Sandya Ajith (2 shared papers)Nicole M. Martínez (2 shared papers)Beth Gold (1 shared paper)Benjamin R. tenOever (1 shared paper)
- Journals
- Genetics (2 papers)Investigative Ophthalmology & Visual Science (2 papers)RNA (2 papers)BioData Mining (1 paper)RNA Biology (1 paper)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Brian Cole
19 papers receiving 463 citations
Peers
Comparison fields: 5 of 82
- Software 31
- Ophthalmology 35
- Molecular Biology 296
- Cancer Research 58
- Immunology 75
Countries citing papers authored by Brian Cole
This map shows the geographic impact of Brian Cole'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 Brian Cole with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Cole more than expected).
Fields of papers citing papers by Brian Cole
This network shows the impact of papers produced by Brian Cole. 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 Brian Cole. The network helps show where Brian Cole may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Cole, 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 | 2014 | 100 | |
| 2 | 2012 | 90 | |
| 3 | 2017 | 43 | |
| 4 | 2013 | 42 | |
| 5 | 2006 | 37 | |
| 6 | 2016 | 35 | |
| 7 | 2015 | 29 | |
| 8 | 2021 | 22 | |
| 9 | 2020 | 16 | |
| 10 | 2010 | 14 | |
| 11 | 2010 | 10 | |
| 12 | 2018 | 10 | |
| 13 | 2021 | 8 | |
| 14 | 2019 | 8 | |
| 15 | Java Swing, Second Edition | 2002 | 8 |
| 16 | Automated detection of genetic relatedness from fundus photographs using Convolutional Siamese Neural Networks | 2021 | 1 |
| 17 | 2017 | 1 | |
| 18 | 2023 | 1 | |
| 19 | Taming the Firehose: Unsupervised Machine Learning for Syntactic Partitioning of Large Volumes of Automatically Generated Items to Assist Automated Test Assembly. | 2020 | 1 |
About Brian Cole
Brian Cole is a scholar working on Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine, Information Systems and Ophthalmology, having authored 19 papers that have together received 476 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Glaucoma and retinal disorders (2 papers), Cell Image Analysis Techniques (2 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Rare Diseases (2 papers), Bioinformatics and Genomic Networks (2 papers), Viral Infections and Immunology Research (2 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Software (31 citations), Ophthalmology (35 citations), Molecular Biology (296 citations), Cancer Research (58 citations) and Immunology (75 citations). Brian Cole has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Kristen W. Lynch, Ganesh Shankarling, Michael J. Mallory, Jason H. Moore, Sandya Ajith, Nicole M. Martínez, Beth Gold, Benjamin R. tenOever, Jerome M. Molleston and Ari Yasunaga. Their work appears in journals such as Genetics, Investigative Ophthalmology & Visual Science, RNA, BioData Mining and RNA Biology.
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.