John Roote
Impact in
- Aging top 5%
-
- Neurobiology and Insect Physiology Research
Papers in
-
- Chromosomal and Genetic Variations 18
- Genetics 13
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 6
- Genomic variations and chromosomal abnormalities 5
- Evolution and Genetic Dynamics 3
- Co-authors
- Michael Ashburner (16 shared papers)Daniel A. Barbash (4 shared papers)D Stern (1 shared paper)Todd Laverty (1 shared paper)Gerald M. Rubin (1 shared paper)Allan C. Spradling (1 shared paper)István Kiss (1 shared paper)Andreas Prokop (3 shared papers)
- Journals
- Genetics (15 papers)Genome biology (3 papers)Proceedings of the National Academy of Sciences (3 papers)Chromosoma (2 papers)PLoS Biology (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
John Roote
40 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 83
- Aging 73
- Cellular and Molecular Neuroscience 498
- Genetics 755
- Molecular Biology 1.6k
- Cell Biology 347
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-authors
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
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 379 | |
| 2 | 2007 | 319 | |
| 3 | 2004 | 292 | |
| 4 | 2003 | 214 | |
| 5 | 1999 | 197 | |
| 6 | 2007 | 183 | |
| 7 | 2007 | 147 | |
| 8 | 2014 | 128 | |
| 9 | 1990 | 106 | |
| 10 | 1998 | 106 | |
| 11 | 2000 | 88 | |
| 12 | 1996 | 85 | |
| 13 | 1999 | 84 | |
| 14 | 1999 | 83 | |
| 15 | 2010 | 80 | |
| 16 | 1990 | 71 | |
| 17 | 2008 | 68 | |
| 18 | 2011 | 67 | |
| 19 | 1999 | 65 | |
| 20 | 2013 | 61 |
About John Roote
John Roote is a scholar working on Plant Science, Genetics, Molecular Biology, Cellular and Molecular Neuroscience and Reproductive Medicine, having authored 40 papers that have together received 3.2k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (18 papers), Developmental Biology and Gene Regulation (9 papers), Neurobiology and Insect Physiology Research (6 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers), Genomic variations and chromosomal abnormalities (5 papers), Genomics and Chromatin Dynamics (4 papers), CRISPR and Genetic Engineering (4 papers) and Evolution and Genetic Dynamics (3 papers). The work is most often cited by research in Aging (73 citations), Cellular and Molecular Neuroscience (498 citations), Genetics (755 citations), Molecular Biology (1.6k citations) and Cell Biology (347 citations). John Roote has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Michael Ashburner, Daniel A. Barbash, D Stern, Todd Laverty, Gerald M. Rubin, Allan C. Spradling, István Kiss, Andreas Prokop, Aaron M. Tarone and David Gubb. Their work appears in journals such as Genetics, Genome biology, Proceedings of the National Academy of Sciences, Chromosoma and PLoS 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.