Chris Town
Impact in
- Plant Science top 5%
- Plant Molecular Biology Research
- Chromosomal and Genetic Variations
- Legume Nitrogen Fixing Symbiosis
- Plant Disease Resistance and Genetics
- Cell Biology top 5%
- Cellular Mechanics and Interactions
Papers in
-
- Genomics and Phylogenetic Studies 4
- Protist diversity and phylogeny 3
-
- Chromosomal and Genetic Variations 4
- Legume Nitrogen Fixing Symbiosis 2
- Co-authors
- Julian D. Gross (4 shared papers)Robert R. Kay (3 shared papers)Jenny J. Brookman (2 shared papers)Keith A. Jermyn (2 shared papers)Agnes P. Chan (4 shared papers)Foo Cheung (2 shared papers)Satoshi Tabata (1 shared paper)Steven B. Cannon (1 shared paper)
- Journals
- Developmental Biology (3 papers)The Plant Cell (2 papers)Differentiation (1 paper)Theoretical and Applied Genetics (1 paper)PLANT PHYSIOLOGY (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Chris Town
19 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 81
- Plant Science 785
- Cell Biology 341
- Molecular Biology 706
- Aging 16
- Ecology, Evolution, Behavior and Systematics 163
Countries citing papers authored by Chris Town
This map shows the geographic impact of Chris Town'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 Chris Town with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Town more than expected).
Fields of papers citing papers by Chris Town
This network shows the impact of papers produced by Chris Town. 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 Chris Town. The network helps show where Chris Town may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Town, 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 | 2017 | 272 | |
| 2 | 2005 | 184 | |
| 3 | 2006 | 142 | |
| 4 | 2009 | 141 | |
| 5 | 1978 | 99 | |
| 6 | 1982 | 98 | |
| 7 | 1981 | 95 | |
| 8 | 2013 | 79 | |
| 9 | 2013 | 46 | |
| 10 | 1978 | 41 | |
| 11 | 2019 | 37 | |
| 12 | 1979 | 37 | |
| 13 | 2002 | 25 | |
| 14 | 2007 | 18 | |
| 15 | 2002 | 9 | |
| 16 | 2015 | 7 | |
| 17 | 2010 | 5 | |
| 18 | 2007 | 4 | |
| 19 | 2014 | 1 |
About Chris Town
Chris Town is a scholar working on Molecular Biology, Plant Science, Cell Biology, Computer Networks and Communications and Information Systems, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (5 papers), Genomics and Phylogenetic Studies (4 papers), Chromosomal and Genetic Variations (4 papers), Protist diversity and phylogeny (3 papers), Distributed and Parallel Computing Systems (2 papers), Legume Nitrogen Fixing Symbiosis (2 papers), Scientific Computing and Data Management (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). The work is most often cited by research in Plant Science (785 citations), Cell Biology (341 citations), Molecular Biology (706 citations), Aging (16 citations) and Ecology, Evolution, Behavior and Systematics (163 citations). Chris Town has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Julian D. Gross, Robert R. Kay, Jenny J. Brookman, Keith A. Jermyn, Agnes P. Chan, Foo Cheung, Satoshi Tabata, Steven B. Cannon, Douglas R. Cook and Shusei Sato. Their work appears in journals such as Developmental Biology, The Plant Cell, Differentiation, Theoretical and Applied Genetics and PLANT PHYSIOLOGY.
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.