Kenneth Bryan
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Neurology top 2%
- Neuroblastoma Research and Treatments
Papers in
-
- Gene expression and cancer classification 9
- Bioinformatics and Genomic Networks 7
- Epigenetics and DNA Methylation 5
- Signaling Pathways in Disease 5
- Neurology 13
- Neuroblastoma Research and Treatments 13
- Co-authors
- Raymond L. Stallings (20 shared papers)Isabella Bray (12 shared papers)Pádraig Cunningham (8 shared papers)Karen M. Watters (11 shared papers)Niamh H. Foley (8 shared papers)David J. Lynn (6 shared papers)Patrick G. Buckley (10 shared papers)Sudipto Das (7 shared papers)
- Journals
- PLoS ONE (6 papers)Cancer Research (3 papers)BMC Genomics (3 papers)Blood (2 papers)International Journal of Cancer (2 papers)
- Partner nations
- IrelandUnited StatesGermany
In The Last Decade
Kenneth Bryan
45 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 124
- Cancer Research 728
- Neurology 511
- Molecular Biology 1.4k
- Equine 23
- Genetics 244
Countries citing papers authored by Kenneth Bryan
This map shows the geographic impact of Kenneth Bryan'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 Kenneth Bryan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth Bryan more than expected).
Fields of papers citing papers by Kenneth Bryan
This network shows the impact of papers produced by Kenneth Bryan. 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 Kenneth Bryan. The network helps show where Kenneth Bryan may publish in the future.
Co-authors
The 25 scholars most cited alongside Kenneth Bryan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 134 | |
| 2 | 2010 | 130 | |
| 3 | 2012 | 128 | |
| 4 | 2011 | 120 | |
| 5 | 2016 | 111 | |
| 6 | 2012 | 106 | |
| 7 | 2009 | 103 | |
| 8 | 2012 | 97 | |
| 9 | 2010 | 96 | |
| 10 | 2013 | 94 | |
| 11 | 2011 | 80 | |
| 12 | 2016 | 79 | |
| 13 | 2005 | 72 | |
| 14 | 2009 | 70 | |
| 15 | 2006 | 65 | |
| 16 | 2008 | 64 | |
| 17 | 2010 | 59 | |
| 18 | 2013 | 59 | |
| 19 | 2014 | 50 | |
| 20 | 2014 | 47 |
About Kenneth Bryan
Kenneth Bryan is a scholar working on Molecular Biology, Neurology, Cancer Research, Genetics and Genetics, having authored 47 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (13 papers), Gene expression and cancer classification (9 papers), Bioinformatics and Genomic Networks (7 papers), Epigenetics and DNA Methylation (5 papers), Signaling Pathways in Disease (5 papers), MicroRNA in disease regulation (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers) and Genetics and Neurodevelopmental Disorders (3 papers). The work is most often cited by research in Cancer Research (728 citations), Neurology (511 citations), Molecular Biology (1.4k citations), Equine (23 citations) and Genetics (244 citations). Kenneth Bryan has collaborated with scholars based in Ireland, United States and Germany. Frequent co-authors include Raymond L. Stallings, Isabella Bray, Pádraig Cunningham, Karen M. Watters, Niamh H. Foley, David J. Lynn, Patrick G. Buckley, Sudipto Das, Nadia Bolshakova and Maria Meehan. Their work appears in journals such as PLoS ONE, Cancer Research, BMC Genomics, Blood and International Journal of Cancer.
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.