Robert K. Maeda
Impact in
- Aging top 2%
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- Neurobiology and Insect Physiology Research
Papers in
-
- Genomics and Chromatin Dynamics 16
- Developmental Biology and Gene Regulation 11
- RNA Research and Splicing 10
- Nicotinic Acetylcholine Receptors Study 4
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- Chromosomal and Genetic Variations 6
- Co-authors
- François Karch (30 shared papers)Monika Hediger (1 shared paper)Johannes Bischof (1 shared paper)Konrad Basler (1 shared paper)Hans‐Jürgen Kreienkamp (4 shared papers)Palmer Taylor (4 shared papers)Yuri M. Moshkin (4 shared papers)Fabienne Cléard (7 shared papers)
- Journals
- PLoS Genetics (6 papers)Development (4 papers)Molecular Cell (2 papers)Genetics (2 papers)Current Opinion in Genetics & Development (2 papers)
- Partner nations
- SwitzerlandUnited StatesHungary
In The Last Decade
Robert K. Maeda
36 papers receiving 3.1k citations
Robert K. Maeda's Hit Papers
Peers
Comparison fields: 5 of 99
- Aging 103
- Cellular and Molecular Neuroscience 660
- Molecular Biology 2.5k
- Cell Biology 345
- Insect Science 257
Countries citing papers authored by Robert K. Maeda
This map shows the geographic impact of Robert K. Maeda'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 Robert K. Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert K. Maeda more than expected).
Fields of papers citing papers by Robert K. Maeda
This network shows the impact of papers produced by Robert K. Maeda. 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 Robert K. Maeda. The network helps show where Robert K. Maeda may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert K. Maeda, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An optimized transgenesis system for Drosophila using germ-line-specific φC31 integrases Hit paper breakdown → | 2007 | 1503 |
| 2 | 2006 | 164 | |
| 3 | 1995 | 156 | |
| 4 | 2009 | 127 | |
| 5 | 2006 | 112 | |
| 6 | 2002 | 97 | |
| 7 | 1994 | 92 | |
| 8 | 1995 | 88 | |
| 9 | 2006 | 73 | |
| 10 | 2012 | 69 | |
| 11 | 1998 | 63 | |
| 12 | 2015 | 62 | |
| 13 | 2013 | 61 | |
| 14 | 2007 | 57 | |
| 15 | 2009 | 57 | |
| 16 | 2016 | 51 | |
| 17 | 2010 | 50 | |
| 18 | 2018 | 42 | |
| 19 | 2019 | 29 | |
| 20 | 2008 | 28 |
About Robert K. Maeda
Robert K. Maeda is a scholar working on Molecular Biology, Plant Science, Genetics, Cellular and Molecular Neuroscience and Ecology, Evolution, Behavior and Systematics, having authored 37 papers that have together received 3.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (16 papers), Developmental Biology and Gene Regulation (11 papers), RNA Research and Splicing (10 papers), Chromosomal and Genetic Variations (6 papers), Neurobiology and Insect Physiology Research (6 papers), Animal Genetics and Reproduction (4 papers), Nicotinic Acetylcholine Receptors Study (4 papers) and Animal Behavior and Reproduction (4 papers). The work is most often cited by research in Aging (103 citations), Cellular and Molecular Neuroscience (660 citations), Molecular Biology (2.5k citations), Cell Biology (345 citations) and Insect Science (257 citations). Robert K. Maeda has collaborated with scholars based in Switzerland, United States and Hungary. Frequent co-authors include François Karch, Monika Hediger, Johannes Bischof, Konrad Basler, Hans‐Jürgen Kreienkamp, Palmer Taylor, Yuri M. Moshkin, Fabienne Cléard, Nina Bren and Mariana F. Wolfner. Their work appears in journals such as PLoS Genetics, Development, Molecular Cell, Genetics and Current Opinion in Genetics & Development.
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.