John Roote
Impact in
- Aging top 2%
- Cell Biology top 2%
- Hippo pathway signaling and YAP/TAZ
Papers in
-
- Genomics and Chromatin Dynamics 8
- Developmental Biology and Gene Regulation 7
- Insect Resistance and Genetics 6
- CRISPR and Genetic Engineering 6
- Genetics 16
- Genetic diversity and population structure 5
- Animal Genetics and Reproduction 4
- Co-authors
- Michael Ashburner (18 shared papers)Daniel A. Barbash (4 shared papers)Gerald M. Rubin (1 shared paper)István Kiss (1 shared paper)Allan C. Spradling (1 shared paper)Todd Laverty (1 shared paper)D Stern (1 shared paper)David Gubb (10 shared papers)
- Journals
- Genetics (13 papers)Proceedings of the National Academy of Sciences (3 papers)PLoS Biology (2 papers)Genome biology (2 papers)Chromosoma (2 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
John Roote
39 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 98
- Aging 113
- Cell Biology 501
- Genetics 835
- Molecular Biology 1.9k
- Cellular and Molecular Neuroscience 393
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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 402 | |
| 2 | 2007 | 306 | |
| 3 | 1999 | 229 | |
| 4 | 2003 | 224 | |
| 5 | 2007 | 146 | |
| 6 | 1990 | 111 | |
| 7 | 1998 | 107 | |
| 8 | 2000 | 90 | |
| 9 | 1996 | 86 | |
| 10 | 1999 | 85 | |
| 11 | 1999 | 83 | |
| 12 | 1990 | 80 | |
| 13 | 2010 | 78 | |
| 14 | 2008 | 68 | |
| 15 | 2011 | 66 | |
| 16 | 1999 | 64 | |
| 17 | 2013 | 61 | |
| 18 | 2004 | 60 | |
| 19 | 1993 | 58 | |
| 20 | 2012 | 46 |
About John Roote
John Roote is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Insect Science and Plant Science, having authored 39 papers that have together received 2.7k 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 Animal Genetics and Reproduction (4 papers). The work is most often cited by research in Aging (113 citations), Cell Biology (501 citations), Genetics (835 citations), Molecular Biology (1.9k citations) and Cellular and Molecular Neuroscience (393 citations). John Roote has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Michael Ashburner, Daniel A. Barbash, Gerald M. Rubin, István Kiss, Allan C. Spradling, Todd Laverty, D Stern, David Gubb, Andreas Prokop and Aaron M. Tarone. Their work appears in journals such as Genetics, Proceedings of the National Academy of Sciences, PLoS Biology, Genome biology and Chromosoma.
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.