John Roote
- Aging top 2%
- Cell Biology top 2%
- Genetics top 2%
- Genetic diversity and population structure 5
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics 8
- Developmental Biology and Gene Regulation 7
- Insect Resistance and Genetics 6
- CRISPR and Genetic Engineering 6
- Genomics and Phylogenetic Studies 4
- Insect Science top 2%
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- Neurobiology and Insect Physiology Research 9
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- Chromosomal and Genetic Variations 8
- Co-authors
- Michael AshburnerDaniel A. BarbashAllan C. SpradlingTodd LavertyGerald M. RubinIstván KissD SternDavid Gubb
- Cited by
- AgingCell BiologyGenetics
- Journals
- Genetics (13 papers)Proceedings of the National Academy of Sciences (3 papers)PLoS Biology (2 papers)
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
John Roote
39 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 98
- Aging 107
- Cell Biology 504
- Genetics 841
- Molecular Biology 1.9k
- Insect Science 263
Countries citing papers authored by John Roote
This map shows the geographic impact of John Roote'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 John Roote with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Roote more than expected).
Fields of papers citing papers by John Roote
This network shows the impact of papers produced by John Roote. 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 John Roote. The network helps show where John Roote may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John Roote, 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 | 2016 | 29 | |
| 2 | 2013 | 13 | |
| 3 | 2012 | 46 | |
| 4 | 2011 | 65 | |
| 5 | 2011 | 1 | |
| 6 | 2010 | 25 | |
| 7 | 2010 | 74 | |
| 8 | 2007 | 137 | |
| 9 | 2004 | 6 | |
| 10 | 2004 | 16 | |
| 11 | 2003 | 220 | |
| 12 | 1999 | 82 | |
| 13 | 1999 | 221 | |
| 14 | 1998 | 4 | |
| 15 | 1997 | 18 | |
| 16 | 1996 | 84 | |
| 17 | 1993 | 56 | |
| 18 | 1990 | 79 | |
| 19 | 1990 | 108 | |
| 20 | 1990 | 15 |
About John Roote
John Roote is a scholar working on Aging, Insect Science, Genetics, Cellular and Molecular Neuroscience and Molecular Biology, having authored 39 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (9 papers), Chromosomal and Genetic Variations (8 papers), Genomics and Chromatin Dynamics (8 papers), Developmental Biology and Gene Regulation (7 papers), Insect Resistance and Genetics (6 papers), CRISPR and Genetic Engineering (6 papers), Genetic diversity and population structure (5 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Aging (107 citations), Cell Biology (504 citations), Genetics (841 citations), Molecular Biology (1.9k citations) and Insect Science (263 citations). John Roote has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Michael Ashburner, Daniel A. Barbash, Allan C. Spradling, Todd Laverty, Gerald M. Rubin, István Kiss, D Stern, David Gubb, Aaron M. Tarone and Andreas Prokop. Their work appears in journals such as Genetics, Proceedings of the National Academy of Sciences, PLoS Biology, Chromosoma and Genome biology.
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.