Jonathan Arias
- Molecular Biology top 5%
- CRISPR and Genetic Engineering 8
- Pluripotent Stem Cells Research 5
- Plant Gene Expression Analysis 4
- Plant tissue culture and regeneration 4
- Genomics and Chromatin Dynamics 3
- Genomics, phytochemicals, and oxidative stress 2
- Plant Science top 5%
- Plant-Microbe Interactions and Immunity 7
- Plant Molecular Biology Research 4
- Aging top 10%
- Co-authors
- Marc MontminyChristopher JohnsonJames R. FeramiscoArthur S. AlbertsPaul K. BrindleFrancois X. ClaretMichael KarinTod Smeal
- Cited by
- Molecular BiologyPlant ScienceAging
- Journals
- Journal of Biological Chemistry (6 papers)Stem Cell Research (4 papers)The Plant Cell (3 papers)
- Partner nations
- United StatesLuxembourgSweden
In The Last Decade
Jonathan Arias
33 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Molecular Biology 1.4k
- Plant Science 612
- Aging 24
- Cellular and Molecular Neuroscience 201
- Cancer Research 151
Countries citing papers authored by Jonathan Arias
This map shows the geographic impact of Jonathan Arias'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 Jonathan Arias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Arias more than expected).
Fields of papers citing papers by Jonathan Arias
This network shows the impact of papers produced by Jonathan Arias. 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 Jonathan Arias. The network helps show where Jonathan Arias may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jonathan Arias, 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 | 2023 | 0 | |
| 2 | 2022 | 7 | |
| 3 | 2021 | 39 | |
| 4 | 2021 | 2 | |
| 5 | 2021 | 13 | |
| 6 | 2019 | 74 | |
| 7 | 2019 | 13 | |
| 8 | 2019 | 39 | |
| 9 | 2019 | 1 | |
| 10 | 2017 | 62 | |
| 11 | 2003 | 248 | |
| 12 | 2003 | 0 | |
| 13 | 2002 | 55 | |
| 14 | 2001 | 25 | |
| 15 | 2000 | 45 | |
| 16 | 1998 | 34 | |
| 17 | 1996 | 24 | |
| 18 | 1996 | 179 | |
| 19 | 1996 | 13 | |
| 20 | Activation of cAMP and mitogen responsive genes relies on a common nuclear factorbreakdown → | 1994 | 651 |
About Jonathan Arias
Jonathan Arias is a scholar working on Aging, Molecular Biology, Plant Science, Cell Biology and Biophysics, having authored 37 papers that have together received 2.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), Plant-Microbe Interactions and Immunity (7 papers), Pluripotent Stem Cells Research (5 papers), Plant Gene Expression Analysis (4 papers), Plant tissue culture and regeneration (4 papers), Plant Molecular Biology Research (4 papers), Genomics and Chromatin Dynamics (3 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Plant Science (612 citations), Aging (24 citations), Cellular and Molecular Neuroscience (201 citations) and Cancer Research (151 citations). Jonathan Arias has collaborated with scholars based in United States, Luxembourg and Sweden. Frequent co-authors include Marc Montminy, Christopher Johnson, James R. Feramisco, Arthur S. Alberts, Paul K. Brindle, Francois X. Claret, Michael Karin, Tod Smeal, Barbara L. Kee and William S. Dynan. Their work appears in journals such as Journal of Biological Chemistry, Stem Cell Research, The Plant Cell, Stem Cell Reports and The Plant 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.