Renée S. Arias
- Plant Science top 2%
- Peanut Plant Research Studies 25
- Plant Disease Resistance and Genetics 16
- Mycotoxins in Agriculture and Food 10
- Plant Virus Research Studies 9
- Nematode management and characterization studies 6
- Plant Pathogenic Bacteria Studies 6
- Horticulture top 10%
- Insect Science top 5%
- Endocrinology top 10%
- Plant and Fungal Interactions Research 8
- Cell Biology top 10%
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- Coconut Research and Applications 12
- Co-authors
- Brian E. SchefflerВ. С. СоболевFranck E. DayanMichael D. NetherlandStephen O. DukeSteven H. StraussPhat DangAlicia N. Massa
- Journals
- PLoS ONE (2 papers)Journal of Agricultural and Food Chemistry (3 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesArgentinaMexico
In The Last Decade
Renée S. Arias
69 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 89
- Plant Science 815
- Horticulture 13
- Insect Science 161
- Endocrinology 42
- Cell Biology 126
Countries citing papers authored by Renée S. Arias
This map shows the geographic impact of Renée S. 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 Renée S. Arias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renée S. Arias more than expected).
Fields of papers citing papers by Renée S. Arias
This network shows the impact of papers produced by Renée S. 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 Renée S. Arias. The network helps show where Renée S. Arias may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Renée S. 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 | 2024 | 3 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 5 | |
| 5 | 2020 | 11 | |
| 6 | 2018 | 14 | |
| 7 | 2017 | 10 | |
| 8 | 2016 | 39 | |
| 9 | 2015 | 1 | |
| 10 | 2015 | 37 | |
| 11 | 2015 | 7 | |
| 12 | 2013 | 4 | |
| 13 | Development of Simple Sequence\nRepeat Markers for <i>Chionanthus\nRetusus</i> (Oleaceae) and Effective\nDiscrimination of Closely\nRelated Taxa | 2011 | 7 |
| 14 | 2011 | 11 | |
| 15 | 2009 | 9 | |
| 16 | 2009 | 32 | |
| 17 | 2007 | 21 | |
| 18 | 2006 | 39 | |
| 19 | 2005 | 44 | |
| 20 | 1999 | 24 |
About Renée S. Arias
Renée S. Arias is a scholar working on Horticulture, Endocrinology and Plant Science, having authored 71 papers that have together received 1.1k indexed citations. Recurring topics across this work include Peanut Plant Research Studies (25 papers), Plant Disease Resistance and Genetics (16 papers), Coconut Research and Applications (12 papers), Mycotoxins in Agriculture and Food (10 papers), Plant Virus Research Studies (9 papers), Plant and Fungal Interactions Research (8 papers), Nematode management and characterization studies (6 papers) and Plant Pathogenic Bacteria Studies (6 papers). The work is most often cited by research in Plant Science (815 citations), Horticulture (13 citations) and Insect Science (161 citations). Renée S. Arias has collaborated with scholars based in United States, Argentina and Mexico. Frequent co-authors include Brian E. Scheffler, В. С. Соболев, Franck E. Dayan, Michael D. Netherland, Stephen O. Duke, Steven H. Strauss, Phat Dang, Alicia N. Massa, Wei Su and Marshall C. Lamb. Their work appears in journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Scientific Reports.
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.