Ryan Subaran
Impact in
- Infectious Diseases top 5%
- Antifungal resistance and susceptibility
- Epidemiology top 5%
- Fungal Infections and Studies
- Nail Diseases and Treatments
Papers in
-
- Fungal and yeast genetics research 4
- Epigenetics and DNA Methylation 1
- Genetics 5
- Genomics and Rare Diseases 2
- Genetics and Neurodevelopmental Disorders 2
- Genetic Associations and Epidemiology 2
- Co-authors
- James A. Fraser (2 shared papers)Joseph Heitman (2 shared papers)Aaron P. Mitchell (4 shared papers)Connie B. Nichols (1 shared paper)Frank J. Smith (1 shared paper)Wenjie Xu (1 shared paper)Stephanie Diezmann (1 shared paper)Fred S. Dietrich (1 shared paper)
- Journals
- Epilepsia (2 papers)Eukaryotic Cell (2 papers)Molecular Biology of the Cell (1 paper)American Journal of Medical Genetics Part B Neuropsychiatric Genetics (1 paper)American Journal of Psychiatry (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Ryan Subaran
14 papers receiving 955 citations
Peers
Comparison fields: 5 of 85
- Infectious Diseases 396
- Epidemiology 439
- Cell Biology 186
- Plant Science 280
- Molecular Biology 431
Countries citing papers authored by Ryan Subaran
This map shows the geographic impact of Ryan Subaran'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 Ryan Subaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Subaran more than expected).
Fields of papers citing papers by Ryan Subaran
This network shows the impact of papers produced by Ryan Subaran. 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 Ryan Subaran. The network helps show where Ryan Subaran may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Subaran, 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 | 2003 | 249 | |
| 2 | 2004 | 183 | |
| 3 | 2004 | 143 | |
| 4 | 2006 | 137 | |
| 5 | 2003 | 95 | |
| 6 | 2009 | 51 | |
| 7 | 2011 | 31 | |
| 8 | 2016 | 22 | |
| 9 | 2014 | 18 | |
| 10 | 2009 | 15 | |
| 11 | 2012 | 15 | |
| 12 | 2012 | 6 | |
| 13 | 2021 | 3 | |
| 14 | Strategic analysis of Candida albicans gene function. | 2007 | 1 |
| 15 | 2012 | 0 |
About Ryan Subaran
Ryan Subaran is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Plant Science and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 969 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (4 papers), Fungal and yeast genetics research (4 papers), Genomics and Rare Diseases (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Genetic Associations and Epidemiology (2 papers), Epilepsy research and treatment (1 paper), Epigenetics and DNA Methylation (1 paper) and Advanced Causal Inference Techniques (1 paper). The work is most often cited by research in Infectious Diseases (396 citations), Epidemiology (439 citations), Cell Biology (186 citations), Plant Science (280 citations) and Molecular Biology (431 citations). Ryan Subaran has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include James A. Fraser, Joseph Heitman, Aaron P. Mitchell, Connie B. Nichols, Frank J. Smith, Wenjie Xu, Stephanie Diezmann, Fred S. Dietrich, Andria Allen and Klaus B. Lengeler. Their work appears in journals such as Epilepsia, Eukaryotic Cell, Molecular Biology of the Cell, American Journal of Medical Genetics Part B Neuropsychiatric Genetics and American Journal of Psychiatry.
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.