Evan Floden
Impact in
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- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- Endocrinology top 10%
Papers in
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- Genomics and Phylogenetic Studies 7
- Machine Learning in Bioinformatics 2
- RNA and protein synthesis mechanisms 2
- Glycosylation and Glycoproteins Research 1
- Gene expression and cancer classification 1
- Surgery 3
- Tissue Engineering and Regenerative Medicine 3
- Co-authors
- Eric P. Nawrocki (1 shared paper)Ruth Y. Eberhardt (1 shared paper)Paul P. Gardner (1 shared paper)Sarah Burge (1 shared paper)Sean R. Eddy (1 shared paper)Thomas A. Jones (1 shared paper)ROBERT FINN (1 shared paper)Jennifer Daub (1 shared paper)
- Journals
- Biomaterials (2 papers)Nucleic Acids Research (2 papers)Bioinformatics (1 paper)Nature Biotechnology (1 paper)Journal of Biomedical Materials Research Part B Applied Biomaterials (1 paper)
- Partner nations
- SpainNew ZealandUnited Kingdom
In The Last Decade
Evan Floden
11 papers receiving 1.1k citations
Evan Floden's Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 615
- Endocrinology 39
- Cancer Research 105
- Rehabilitation 40
- Biomaterials 83
Countries citing papers authored by Evan Floden
This map shows the geographic impact of Evan Floden'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 Evan Floden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evan Floden more than expected).
Fields of papers citing papers by Evan Floden
This network shows the impact of papers produced by Evan Floden. 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 Evan Floden. The network helps show where Evan Floden may publish in the future.
Co-authors
The 25 scholars most cited alongside Evan Floden, 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 | Rfam 12.0: updates to the RNA families database Hit paper breakdown → | 2014 | 831 |
| 2 | 2010 | 75 | |
| 3 | 2011 | 57 | |
| 4 | 2016 | 44 | |
| 5 | 2010 | 35 | |
| 6 | 2019 | 22 | |
| 7 | 2018 | 10 | |
| 8 | 2019 | 9 | |
| 9 | 2020 | 8 | |
| 10 | 2016 | 5 | |
| 11 | 2017 | 4 |
About Evan Floden
Evan Floden is a scholar working on Molecular Biology, Surgery, Biomaterials, Genetics and Paleontology, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Machine Learning in Bioinformatics (2 papers), RNA and protein synthesis mechanisms (2 papers), Genetic diversity and population structure (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Molecular Biology (615 citations), Endocrinology (39 citations), Cancer Research (105 citations), Rehabilitation (40 citations) and Biomaterials (83 citations). Evan Floden has collaborated with scholars based in Spain, New Zealand and United Kingdom. Frequent co-authors include Eric P. Nawrocki, Ruth Y. Eberhardt, Paul P. Gardner, Sarah Burge, Sean R. Eddy, Thomas A. Jones, ROBERT FINN, Jennifer Daub, John Tate and Alex Bateman. Their work appears in journals such as Biomaterials, Nucleic Acids Research, Bioinformatics, Nature Biotechnology and Journal of Biomedical Materials Research Part B Applied Biomaterials.
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.