Todd Vision

6.8k total citations · 2 hit papers
71 papers, 3.9k citations indexed

About

Todd Vision is a scholar working on Molecular Biology, Genetics and Information Systems. According to data from OpenAlex, Todd Vision has authored 71 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 19 papers in Genetics and 16 papers in Information Systems. Recurrent topics in Todd Vision's work include Genomics and Phylogenetic Studies (23 papers), Biomedical Text Mining and Ontologies (19 papers) and Research Data Management Practices (15 papers). Todd Vision is often cited by papers focused on Genomics and Phylogenetic Studies (23 papers), Biomedical Text Mining and Ontologies (19 papers) and Research Data Management Practices (15 papers). Todd Vision collaborates with scholars based in United States, United Kingdom and Germany. Todd Vision's co-authors include Steven D. Tanksley, Daniel G. Brown, Amy C. Bouck, Heather Piwowar, Jiping Liu, Hsin‐Mei Ku, Blake C. Meyers, Eric Ganko, Thomas J. Guilfoyle and David L. Remington and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Todd Vision

68 papers receiving 3.8k citations

Hit Papers

The Origins of Genomic Duplications in Arabidopsis 2000 2026 2008 2017 2000 2013 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
Todd Vision United States 27 2.2k 1.9k 863 430 367 71 3.9k
Sébastien Renaut Canada 26 759 0.3× 555 0.3× 1.4k 1.6× 256 0.6× 214 0.6× 41 2.6k
Rose L. Andrew Australia 29 896 0.4× 785 0.4× 1.3k 1.5× 247 0.6× 208 0.6× 57 3.2k
Dan G. Bock Canada 21 710 0.3× 445 0.2× 988 1.1× 246 0.6× 209 0.6× 37 2.5k
Seung Y. Rhee United States 44 7.9k 3.6× 6.6k 3.4× 868 1.0× 146 0.3× 156 0.4× 101 11.7k
Marco Roos Netherlands 24 1.0k 0.5× 191 0.1× 334 0.4× 487 1.1× 611 1.7× 102 2.1k
Philippe Rigault Canada 22 1.5k 0.7× 698 0.4× 544 0.6× 79 0.2× 105 0.3× 30 2.6k
Takashi Gojobori Japan 30 2.5k 1.2× 481 0.2× 1.0k 1.2× 90 0.2× 87 0.2× 67 3.8k
Quentin Groom Belgium 24 565 0.3× 858 0.4× 190 0.2× 201 0.5× 127 0.3× 149 2.4k
Jonathan Arnold United States 38 2.6k 1.2× 947 0.5× 3.3k 3.8× 670 1.6× 42 0.1× 159 7.4k
Ian Wang United States 31 677 0.3× 474 0.2× 1.9k 2.2× 183 0.4× 350 1.0× 97 4.0k

Countries citing papers authored by Todd Vision

Since Specialization
Citations

This map shows the geographic impact of Todd Vision'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 Todd Vision with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd Vision more than expected).

Fields of papers citing papers by Todd Vision

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Todd Vision. 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 Todd Vision. The network helps show where Todd Vision may publish in the future.

Co-authorship network of co-authors of Todd Vision

This figure shows the co-authorship network connecting the top 25 collaborators of Todd Vision. A scholar is included among the top collaborators of Todd Vision 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 Todd Vision. Todd Vision is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gabrielson, Paul W., et al.. (2024). Taxonomic assessment of blade-forming Ulva species (Ulvales, Chlorophyta) in the Galápagos Archipelago, Ecuador using DNA sequencing. Botanica Marina. 67(2). 153–164. 5 indexed citations
2.
Tarasov, Sergei, Hilmar Lapp, James P. Balhoff, et al.. (2023). rphenoscate: An R package for semantics‐aware evolutionary analyses of anatomical traits. Methods in Ecology and Evolution. 14(10). 2531–2540. 3 indexed citations
3.
Dahdul, Wasila, Hilmar Lapp, James P. Balhoff, et al.. (2022). Assessing Bayesian Phylogenetic Information Content of Morphological Data Using Knowledge From Anatomy Ontologies. Systematic Biology. 71(6). 1290–1306. 5 indexed citations
4.
Hackett, Edward J., Erin Leahey, John N. Parker, et al.. (2020). Do synthesis centers synthesize? A semantic analysis of topical diversity in research. Research Policy. 50(1). 104069–104069. 27 indexed citations
5.
Mabee, Paula, James P. Balhoff, Wasila Dahdul, et al.. (2019). A Logical Model of Homology for Comparative Biology. Systematic Biology. 69(2). 345–362. 11 indexed citations
6.
Aryani, Amir, et al.. (2015). D4.2: Workflow for interoperability. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
7.
Aryani, Amir, et al.. (2015). D4.2: Workflow for interoperability. Figshare. 1 indexed citations
8.
Balhoff, James P., Wasila Dahdul, T. Alexander Dececchi, et al.. (2014). Annotation of phenotypic diversity: decoupling data curation and ontology curation using Phenex. Journal of Biomedical Semantics. 5(1). 45–45. 11 indexed citations
9.
Midford, Peter, T. Alexander Dececchi, James P. Balhoff, et al.. (2013). The vertebrate taxonomy ontology: a framework for reasoning across model organism and species phenotypes. Journal of Biomedical Semantics. 4(1). 34–34. 27 indexed citations
10.
Flagel, Lex, John H. Willis, & Todd Vision. (2013). The Standing Pool of Genomic Structural Variation in a Natural Population of Mimulus guttatus. Genome Biology and Evolution. 6(1). 53–64. 32 indexed citations
11.
Cranston, Karen, Todd Vision, Brian C. O’Meara, & Hilmar Lapp. (2013). A grassroots approach to software sustainability. Figshare. 1 indexed citations
12.
Dahdul, Wasila, James P. Balhoff, Terry Grande, et al.. (2010). Evolutionary Characters, Phenotypes and Ontologies: Curating Data from the Systematic Biology Literature. PLoS ONE. 5(5). e10708–e10708. 65 indexed citations
13.
Faddah, Dina A., Eric Ganko, Caroline E. McCoach, et al.. (2009). Systematic Identification of Balanced Transposition Polymorphisms in Saccharomyces cerevisiae. PLoS Genetics. 5(6). e1000502–e1000502. 4 indexed citations
14.
Knies, Jennifer L., Kristen K. Dang, Todd Vision, et al.. (2008). Compensatory Evolution in RNA Secondary Structures Increases Substitution Rate Variation among Sites. Molecular Biology and Evolution. 25(8). 1778–1787. 20 indexed citations
15.
Hartmann, Stefanie & Todd Vision. (2008). Using ESTs for phylogenomics: can one accurately infer a phylogenetic tree from a gappy alignment?. BMC Evolutionary Biology. 8(1). 95–95. 91 indexed citations
16.
Ganko, Eric, Blake C. Meyers, & Todd Vision. (2007). Divergence in Expression between Duplicated Genes in Arabidopsis. Molecular Biology and Evolution. 24(10). 2298–2309. 198 indexed citations
17.
Bouck, Amy C. & Todd Vision. (2006). The molecular ecologist's guide to expressed sequence tags. Molecular Ecology. 16(5). 907–924. 418 indexed citations
18.
Powell, Bradford C., et al.. (2006). Tracking the evolution of alternatively spliced exons within the Dscam family. BMC Evolutionary Biology. 6(1). 16–16. 44 indexed citations
19.
Vision, Todd. (2005). Gene order in plants: a slow but sure shuffle. New Phytologist. 168(1). 51–60. 8 indexed citations
20.
Calabrese, Peter, et al.. (2003). Fast identification and statistical evaluation ofsegmental homologies in comparative maps. Bioinformatics. 19(suppl_1). i74–i80. 71 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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