Ryan Subaran
Impact in
- Infectious Diseases top 5%
- Antifungal resistance and susceptibility
- Epidemiology top 10%
- Fungal Infections and Studies
- Nail Diseases and Treatments
Papers in
-
- Fungal and yeast genetics research 4
- Genetics 6
- Genetic Associations and Epidemiology 2
- Genetics and Neurodevelopmental Disorders 2
- Genomics and Rare Diseases 2
- Co-authors
- Joseph Heitman (2 shared papers)James A. Fraser (2 shared papers)Aaron P. Mitchell (4 shared papers)Connie B. Nichols (1 shared paper)Wenjie Xu (1 shared paper)Frank J. Smith (1 shared paper)Andria Allen (1 shared paper)Stephanie Diezmann (1 shared paper)
- Journals
- Epilepsia (2 papers)Eukaryotic Cell (2 papers)Molecular Biology of the Cell (1 paper)PLoS Pathogens (1 paper)PLoS Biology (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Ryan Subaran
14 papers receiving 952 citations
Peers
Comparison fields: 5 of 87
- Infectious Diseases 409
- Epidemiology 447
- Cell Biology 194
- Plant Science 294
- Molecular Biology 451
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 | 184 | |
| 3 | 2004 | 143 | |
| 4 | 2006 | 137 | |
| 5 | 2003 | 95 | |
| 6 | 2009 | 50 | |
| 7 | 2011 | 31 | |
| 8 | 2016 | 21 | |
| 9 | 2014 | 18 | |
| 10 | 2009 | 15 | |
| 11 | 2012 | 15 | |
| 12 | 2012 | 6 | |
| 13 | 2021 | 2 | |
| 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 Oncology, having authored 15 papers that have together received 967 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (4 papers), Antifungal resistance and susceptibility (4 papers), Epilepsy research and treatment (2 papers), Genetic Associations and Epidemiology (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Genomics and Rare Diseases (2 papers), Nail Diseases and Treatments (1 paper) and Plant-Microbe Interactions and Immunity (1 paper). The work is most often cited by research in Infectious Diseases (409 citations), Epidemiology (447 citations), Cell Biology (194 citations), Plant Science (294 citations) and Molecular Biology (451 citations). Ryan Subaran has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Joseph Heitman, James A. Fraser, Aaron P. Mitchell, Connie B. Nichols, Wenjie Xu, Frank J. Smith, Andria Allen, Stephanie Diezmann, Klaus B. Lengeler and Fred S. Dietrich. Their work appears in journals such as Epilepsia, Eukaryotic Cell, Molecular Biology of the Cell, PLoS Pathogens and PLoS 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.