Barbara T. Wakimoto
- Aging top 5%
- Molecular Biology top 2%
- Genomics and Chromatin Dynamics 22
- Developmental Biology and Gene Regulation 6
- Genomics and Phylogenetic Studies 4
- CRISPR and Genetic Engineering 4
- Plant Science top 1%
- Chromosomal and Genetic Variations 19
- Genetics top 2%
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 8
- Animal Genetics and Reproduction 7
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- Sperm and Testicular Function 4
- Co-authors
- Thomas C. KaufmanKaren S. WeilerJiro C. YasuharaMark G. HearnF. Rudolf TurnerDan L. LindsleyKaren FitchAllan C. Spradling
- Cited by
- AgingMolecular BiologyPlant Science
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (2 papers)The EMBO Journal (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Barbara T. Wakimoto
46 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 94
- Aging 85
- Molecular Biology 3.1k
- Plant Science 1.5k
- Genetics 1.1k
- Cellular and Molecular Neuroscience 332
Countries citing papers authored by Barbara T. Wakimoto
This map shows the geographic impact of Barbara T. Wakimoto'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 Barbara T. Wakimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara T. Wakimoto more than expected).
Fields of papers citing papers by Barbara T. Wakimoto
This network shows the impact of papers produced by Barbara T. Wakimoto. 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 Barbara T. Wakimoto. The network helps show where Barbara T. Wakimoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Barbara T. Wakimoto, 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 | 2020 | 4 | |
| 2 | 2013 | 45 | |
| 3 | 2013 | 24 | |
| 4 | 2008 | 71 | |
| 5 | 2007 | 30 | |
| 6 | 2006 | 96 | |
| 7 | 2005 | 53 | |
| 8 | 2003 | 13 | |
| 9 | 2002 | 11 | |
| 10 | 1998 | 188 | |
| 11 | 1998 | 34 | |
| 12 | 1997 | 57 | |
| 13 | 1997 | 5 | |
| 14 | 1995 | 7 | |
| 15 | 1995 | 435 | |
| 16 | 1995 | 45 | |
| 17 | 1995 | 63 | |
| 18 | 1991 | 77 | |
| 19 | 1990 | 189 | |
| 20 | 1990 | 112 |
About Barbara T. Wakimoto
Barbara T. Wakimoto is a scholar working on Aging, Genetics and Plant Science, having authored 46 papers that have together received 3.5k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (22 papers), Chromosomal and Genetic Variations (19 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (8 papers), Animal Genetics and Reproduction (7 papers), Developmental Biology and Gene Regulation (6 papers), Sperm and Testicular Function (4 papers), Genomics and Phylogenetic Studies (4 papers) and CRISPR and Genetic Engineering (4 papers). The work is most often cited by research in Aging (85 citations), Molecular Biology (3.1k citations) and Plant Science (1.5k citations). Barbara T. Wakimoto has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Thomas C. Kaufman, Karen S. Weiler, Jiro C. Yasuhara, Mark G. Hearn, F. Rudolf Turner, Dan L. Lindsley, Karen Fitch, Allan C. Spradling, Robin E. Denell and Cheryl Herrera. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and The EMBO Journal.
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.