Keith R. Yamamoto
- Aging top 0.1%
- Genetics, Aging, and Longevity in Model Organisms 16
- Genetics top 0.01%
- Estrogen and related hormone effects 76
- Behavioral Neuroscience top 0.2%
- Molecular Biology top 0.05%
- RNA Research and Splicing 26
- RNA and protein synthesis mechanisms 24
- DNA and Nucleic Acid Chemistry 18
- Genomics and Chromatin Dynamics 15
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- Cytokine Signaling Pathways and Interactions 17
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- NF-κB Signaling Pathways 14
- Co-authors
- Didier PicardBruce AlbertsJeffrey N. MinerBonnie A. MalerSteven K. YoshinagaLeonard P. FreedmanMarc I. DiamondRoger L. Miesfeld
- Cited by
- AgingGeneticsBehavioral Neuroscience
- Partner nations
- United StatesSwedenNetherlands
In The Last Decade
Keith R. Yamamoto
180 papers receiving 30.1k citations
Hit Papers
Peers
Comparison fields: 5 of 189
- Aging 1.2k
- Genetics 13.2k
- Behavioral Neuroscience 1.3k
- Endocrinology, Diabetes and Metabolism 5.3k
- Molecular Biology 19.2k
Countries citing papers authored by Keith R. Yamamoto
This map shows the geographic impact of Keith R. Yamamoto'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 Keith R. Yamamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith R. Yamamoto more than expected).
Fields of papers citing papers by Keith R. Yamamoto
This network shows the impact of papers produced by Keith R. Yamamoto. 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 Keith R. Yamamoto. The network helps show where Keith R. Yamamoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Keith R. Yamamoto, 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 | 2021 | 2 | |
| 2 | 2018 | 16 | |
| 3 | 2016 | 0 | |
| 4 | 2015 | 39 | |
| 5 | 2011 | 78 | |
| 6 | 2011 | 35 | |
| 7 | 2009 | 332 | |
| 8 | 2008 | 74 | |
| 9 | Genome-wide profiling identifies epithelial cell genes associated with asthma and with treatment response to corticosteroidsbreakdown → | 2007 | 626 |
| 10 | 2005 | 337 | |
| 11 | 2004 | 168 | |
| 12 | 2004 | 64 | |
| 13 | 2000 | 440 | |
| 14 | 2000 | 41 | |
| 15 | 1997 | 88 | |
| 16 | 1996 | 109 | |
| 17 | 1994 | 62 | |
| 18 | 1992 | 7 | |
| 19 | 1991 | 37 | |
| 20 | 1987 | 312 |
About Keith R. Yamamoto
Keith R. Yamamoto is a scholar working on Aging, Genetics and Molecular Biology, having authored 182 papers that have together received 31.5k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (76 papers), RNA Research and Splicing (26 papers), RNA and protein synthesis mechanisms (24 papers), DNA and Nucleic Acid Chemistry (18 papers), Cytokine Signaling Pathways and Interactions (17 papers), Genetics, Aging, and Longevity in Model Organisms (16 papers), Genomics and Chromatin Dynamics (15 papers) and NF-κB Signaling Pathways (14 papers). The work is most often cited by research in Aging (1.2k citations), Genetics (13.2k citations) and Behavioral Neuroscience (1.3k citations). Keith R. Yamamoto has collaborated with scholars based in United States, Sweden and Netherlands. Frequent co-authors include Didier Picard, Bruce Alberts, Jeffrey N. Miner, Bonnie A. Maler, Steven K. Yoshinaga, Leonard P. Freedman, Marc I. Diamond, Roger L. Miesfeld, Paul J. Godowski and Sandro Rusconi.
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.