Frederick M. Ausubel
- Aging top 0.01%
- Genetics, Aging, and Longevity in Model Organisms 46
- Plant Science top 0.01%
- Plant-Microbe Interactions and Immunity 71
- Legume Nitrogen Fixing Symbiosis 55
- Plant Pathogenic Bacteria Studies 35
- Plant nutrient uptake and metabolism 27
- Endocrinology top 0.05%
- Vibrio bacteria research studies 20
- Molecular Medicine top 0.05%
- Antibiotic Resistance in Bacteria 18
- Molecular Biology top 0.05%
- Bacterial biofilms and quorum sensing 37
- Co-authors
- Laurence G. RahmeAndrzej KoniecznyJulia DewdneyMan‐Wah TanEliana DrenkardGary RuvkunGang WuShalina Mahajan‐Miklos
- Cited by
- AgingPlant ScienceEndocrinology
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Frederick M. Ausubel
300 papers receiving 47.1k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Aging 5.2k
- Plant Science 26.0k
- Endocrinology 3.2k
- Molecular Medicine 2.9k
- Molecular Biology 22.7k
Countries citing papers authored by Frederick M. Ausubel
This map shows the geographic impact of Frederick M. Ausubel'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 Frederick M. Ausubel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frederick M. Ausubel more than expected).
Fields of papers citing papers by Frederick M. Ausubel
This network shows the impact of papers produced by Frederick M. Ausubel. 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 Frederick M. Ausubel. The network helps show where Frederick M. Ausubel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Frederick M. Ausubel, 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 | 2025 | 4 | |
| 2 | 2023 | 11 | |
| 3 | 2020 | 11 | |
| 4 | 2015 | 162 | |
| 5 | 2013 | 1 | |
| 6 | 2012 | 44 | |
| 7 | Glucosinolate Metabolites Required for an Arabidopsis Innate Immune Responsebreakdown → | 2008 | 859 |
| 8 | 2007 | 333 | |
| 9 | 2006 | 230 | |
| 10 | 2005 | 220 | |
| 11 | 2003 | 465 | |
| 12 | 2003 | 311 | |
| 13 | 2002 | 248 | |
| 14 | 2002 | 229 | |
| 15 | A Conserved p38 MAP Kinase Pathway in Caenorhabditis elegans Innate Immunitybreakdown → | 2002 | 671 |
| 16 | 2002 | 90 | |
| 17 | 2001 | 445 | |
| 18 | 1998 | 43 | |
| 19 | 1984 | 2 | |
| 20 | 1971 | 7 |
About Frederick M. Ausubel
Frederick M. Ausubel is a scholar working on Aging, Endocrinology and Plant Science, having authored 302 papers that have together received 48.7k indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (71 papers), Legume Nitrogen Fixing Symbiosis (55 papers), Genetics, Aging, and Longevity in Model Organisms (46 papers), Bacterial biofilms and quorum sensing (37 papers), Plant Pathogenic Bacteria Studies (35 papers), Plant nutrient uptake and metabolism (27 papers), Vibrio bacteria research studies (20 papers) and Antibiotic Resistance in Bacteria (18 papers). The work is most often cited by research in Aging (5.2k citations), Plant Science (26.0k citations) and Endocrinology (3.2k citations). Frederick M. Ausubel has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Laurence G. Rahme, Andrzej Konieczny, Julia Dewdney, Man‐Wah Tan, Eliana Drenkard, Gary Ruvkun, Gang Wu, Shalina Mahajan‐Miklos, Clive W. Ronson and Stephen B. Calderwood. Their work appears in journals such as Nature, Science and Cell.
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.