Todd Vision
Impact in
- Plant Science top 1%
- Chromosomal and Genetic Variations
- Plant Molecular Biology Research
-
- Scientific Computing and Data Management
Papers in
-
- Genomics and Phylogenetic Studies 20
- Biomedical Text Mining and Ontologies 17
-
- Research Data Management Practices 15
- Co-authors
- Steven D. Tanksley (3 shared papers)Daniel G. Brown (2 shared papers)Amy C. Bouck (1 shared paper)Heather Piwowar (5 shared papers)Hsin‐Mei Ku (1 shared paper)Jiping Liu (1 shared paper)Stefanie Hartmann (3 shared papers)Blake C. Meyers (1 shared paper)
- Journals
- Systematic Biology (4 papers)Molecular Biology and Evolution (4 papers)Bioinformatics (3 papers)Genetics (3 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Todd Vision
70 papers receiving 4.0k citations
Todd Vision's Hit Papers
Peers
Comparison fields: 5 of 147
- Plant Science 2.0k
- Information Systems and Management 385
- Ecological Modeling 177
- Molecular Biology 2.2k
- Genetics 862
Countries citing papers authored by Todd Vision
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
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-authors
The 25 scholars most cited alongside Todd Vision, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Origins of Genomic Duplications in Arabidopsis Hit paper breakdown → | 2000 | 859 |
| 2 | 2006 | 435 | |
| 3 | Data reuse and the open data citation advantage Hit paper breakdown → | 2013 | 387 |
| 4 | 2000 | 348 | |
| 5 | 2004 | 265 | |
| 6 | 2007 | 207 | |
| 7 | 2003 | 151 | |
| 8 | 2002 | 111 | |
| 9 | 2008 | 111 | |
| 10 | 2000 | 110 | |
| 11 | 2010 | 96 | |
| 12 | 2010 | 93 | |
| 13 | 2003 | 82 | |
| 14 | 2010 | 69 | |
| 15 | 2011 | 69 | |
| 16 | 2010 | 68 | |
| 17 | 2007 | 66 | |
| 18 | 2010 | 66 | |
| 19 | 2006 | 46 | |
| 20 | 2005 | 46 |
About Todd Vision
Todd Vision is a scholar working on Molecular Biology, Information Systems, Genetics, Plant Science and Information Systems and Management, having authored 74 papers that have together received 4.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (20 papers), Biomedical Text Mining and Ontologies (17 papers), Research Data Management Practices (15 papers), Scientific Computing and Data Management (13 papers), Chromosomal and Genetic Variations (8 papers), Genetic diversity and population structure (7 papers), Data Quality and Management (6 papers) and Genetic Mapping and Diversity in Plants and Animals (6 papers). The work is most often cited by research in Plant Science (2.0k citations), Information Systems and Management (385 citations), Ecological Modeling (177 citations), Molecular Biology (2.2k citations) and Genetics (862 citations). Todd Vision has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Steven D. Tanksley, Daniel G. Brown, Amy C. Bouck, Heather Piwowar, Hsin‐Mei Ku, Jiping Liu, Stefanie Hartmann, Blake C. Meyers, Eric Ganko and David L. Remington. Their work appears in journals such as Systematic Biology, Molecular Biology and Evolution, Bioinformatics, Genetics and PLoS ONE.
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.