Jack R Bateman
Impact in
- Aging top 5%
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- Axon Guidance and Neuronal Signaling
- Neurobiology and Insect Physiology Research
Papers in
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- Genomics and Chromatin Dynamics 10
- CRISPR and Genetic Engineering 6
- RNA Research and Splicing 5
- Protein Tyrosine Phosphatases 4
- Developmental Biology and Gene Regulation 4
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- Chromosomal and Genetic Variations 10
- Co-authors
- David Van Vactor (5 shared papers)C-ting Wu (5 shared papers)Anne M. Lee (1 shared paper)Huidy Shu (1 shared paper)Christopher A. Korey (1 shared paper)Zachary P. Wills (1 shared paper)Allen R. Comer (1 shared paper)Justine E Johnson (10 shared papers)
- Journals
- Genetics (10 papers)G3 Genes Genomes Genetics (4 papers)Neuron (2 papers)Nature Methods (1 paper)Cell and Tissue Research (1 paper)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Jack R Bateman
24 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 70
- Aging 51
- Cellular and Molecular Neuroscience 434
- Cell Biology 368
- Molecular Biology 935
- Developmental Neuroscience 35
Countries citing papers authored by Jack R Bateman
This map shows the geographic impact of Jack R Bateman'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 Jack R Bateman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack R Bateman more than expected).
Fields of papers citing papers by Jack R Bateman
This network shows the impact of papers produced by Jack R Bateman. 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 Jack R Bateman. The network helps show where Jack R Bateman may publish in the future.
Co-authors
The 25 scholars most cited alongside Jack R Bateman, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 263 | |
| 2 | 1999 | 258 | |
| 3 | 2000 | 194 | |
| 4 | 2001 | 107 | |
| 5 | 2001 | 67 | |
| 6 | 2007 | 50 | |
| 7 | 2009 | 48 | |
| 8 | 2012 | 38 | |
| 9 | 2012 | 30 | |
| 10 | 2003 | 26 | |
| 11 | 2008 | 24 | |
| 12 | 2016 | 21 | |
| 13 | 2008 | 19 | |
| 14 | 2021 | 18 | |
| 15 | 2002 | 16 | |
| 16 | 2022 | 11 | |
| 17 | 2019 | 10 | |
| 18 | 2019 | 9 | |
| 19 | 2014 | 8 | |
| 20 | 2007 | 8 |
About Jack R Bateman
Jack R Bateman is a scholar working on Molecular Biology, Plant Science, Genetics, Cellular and Molecular Neuroscience and Ecology, Evolution, Behavior and Systematics, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (10 papers), Genomics and Chromatin Dynamics (10 papers), CRISPR and Genetic Engineering (6 papers), RNA Research and Splicing (5 papers), Animal Genetics and Reproduction (4 papers), Protein Tyrosine Phosphatases (4 papers), Developmental Biology and Gene Regulation (4 papers) and Axon Guidance and Neuronal Signaling (3 papers). The work is most often cited by research in Aging (51 citations), Cellular and Molecular Neuroscience (434 citations), Cell Biology (368 citations), Molecular Biology (935 citations) and Developmental Neuroscience (35 citations). Jack R Bateman has collaborated with scholars based in United States, France and Canada. Frequent co-authors include David Van Vactor, C-ting Wu, Anne M. Lee, Huidy Shu, Christopher A. Korey, Zachary P. Wills, Allen R. Comer, Justine E Johnson, Haruo Saito and Benjamin R. Williams. Their work appears in journals such as Genetics, G3 Genes Genomes Genetics, Neuron, Nature Methods and Cell and Tissue Research.
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.