Evan Floden

5.6k total citations · 1 hit paper
10 papers, 1.0k citations indexed

About

Evan Floden is a scholar working on Molecular Biology, Surgery and Biomaterials. According to data from OpenAlex, Evan Floden has authored 10 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Biomaterials. Recurrent topics in Evan Floden's work include Genomics and Phylogenetic Studies (6 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). Evan Floden is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). Evan Floden collaborates with scholars based in Spain, New Zealand and United Kingdom. Evan Floden's co-authors include Ruth Y. Eberhardt, Paul P. Gardner, Alex Bateman, Sean R. Eddy, Eric P. Nawrocki, Sarah Burge, Jennifer Daub, ROBERT FINN, Thomas A. Jones and John Tate and has published in prestigious journals such as Nucleic Acids Research, Nature Biotechnology and Bioinformatics.

In The Last Decade

Evan Floden

10 papers receiving 1.0k citations

Hit Papers

Rfam 12.0: updates to the RNA families database 2014 2026 2018 2022 2014 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Evan Floden Spain 8 655 239 156 131 118 10 1.0k
Keisuke Ueno Japan 15 653 1.0× 92 0.4× 61 0.4× 77 0.6× 242 2.1× 33 1.3k
Isabel Pires Portugal 24 406 0.6× 62 0.3× 112 0.7× 124 0.9× 91 0.8× 134 1.8k
Chao Yan China 19 542 0.8× 288 1.2× 82 0.5× 34 0.3× 155 1.3× 77 1.7k
Neven Zoric Sweden 7 750 1.1× 107 0.4× 130 0.8× 97 0.7× 73 0.6× 8 1.3k
Wen‐Hui Lee China 24 838 1.3× 67 0.3× 51 0.3× 70 0.5× 81 0.7× 67 1.7k
Meysam Abbasi Canada 8 471 0.7× 105 0.4× 70 0.4× 28 0.2× 64 0.5× 11 836
Inkyung Park United States 18 837 1.3× 180 0.8× 21 0.1× 59 0.5× 178 1.5× 43 1.7k
Juan Jesus Vicente United States 18 498 0.8× 71 0.3× 271 1.7× 24 0.2× 34 0.3× 41 1.1k
Daniela M. Russo Argentina 16 344 0.5× 322 1.3× 232 1.5× 32 0.2× 85 0.7× 24 994
Kai Feng China 15 466 0.7× 277 1.2× 27 0.2× 119 0.9× 40 0.3× 72 1.1k

Countries citing papers authored by Evan Floden

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Evan Floden

This figure shows the co-authorship network connecting the top 25 collaborators of Evan Floden. A scholar is included among the top collaborators of Evan Floden based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Evan Floden. Evan Floden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Tommaso, Paolo Di, Cedrik Magis, Ionas Erb, et al.. (2019). Large multiple sequence alignments with a root-to-leaf regressive method. Nature Biotechnology. 37(12). 1466–1470. 20 indexed citations
2.
Chang, Jia‐Ming, Evan Floden, Javier Herrero, et al.. (2019). Incorporating alignment uncertainty into Felsenstein’s phylogenetic bootstrap to improve its reliability. Bioinformatics. 37(11). 1506–1514. 8 indexed citations
3.
Chatzou, Maria, Evan Floden, Paolo Di Tommaso, Olivier Gascuel, & Cédric Notredame. (2018). Generalized Bootstrap Supports for Phylogenetic Analyses of Protein Sequences Incorporating Alignment Uncertainty. Systematic Biology. 67(6). 997–1009. 10 indexed citations
4.
Tommaso, Paolo Di, Evan Floden, Cedrik Magis, Emilio Palumbo, & Cédric Notredame. (2017). Nextflow : un outil efficace pour l’amélioration de la stabilité numérique des calculs en analyse génomique. Biologie Aujourd hui. 211(3). 233–237. 4 indexed citations
5.
Floden, Evan, Paolo Di Tommaso, Maria Chatzou, et al.. (2016). PSI/TM-Coffee: a web server for fast and accurate multiple sequence alignments of regular and transmembrane proteins using homology extension on reduced databases. Nucleic Acids Research. 44(W1). W339–W343. 41 indexed citations
6.
Floden, Evan, Anas Khawaja, Václav Vopálenský, & Martin Pospíšek. (2016). HCVIVdb: The hepatitis-C IRES variation database. BMC Microbiology. 16(1). 187–187. 5 indexed citations
7.
Nawrocki, Eric P., Sarah Burge, Alex Bateman, et al.. (2014). Rfam 12.0: updates to the RNA families database. Nucleic Acids Research. 43(D1). D130–D137. 805 indexed citations breakdown →
8.
Lun, Stan, Evan Floden, James N. Fisher, et al.. (2011). Quantification of in vitro and in vivo angiogenesis stimulated by ovine forestomach matrix biomaterial. Biomaterials. 32(27). 6351–6361. 53 indexed citations
9.
Floden, Evan, S. Malak, James N. Fisher, et al.. (2010). Biophysical characterization of ovine forestomach extracellular matrix biomaterials. Journal of Biomedical Materials Research Part B Applied Biomaterials. 96B(1). 67–75. 33 indexed citations
10.
Lun, Stan, et al.. (2010). A functional extracellular matrix biomaterial derived from ovine forestomach. Biomaterials. 31(16). 4517–4529. 70 indexed citations

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.

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