Renée S. Arias

1.5k citations
71 papers · 1.1k indexed · h-index 21
Topics
Peanut Plant Research Studies (25 papers)Plant Disease Resistance and Genetics (16 papers)Coconut Research and Applications (12 papers)

In The Last Decade

Renée S. Arias

69 papers receiving 1.1k citations

Peers

Renée S. Arias
Comparison fields: 5 of 89
  • Plant Science 815
  • Molecular Biology 400
  • Insect Science 161
  • Cell Biology 126
  • Ecology, Evolution, Behavior and Systematics 86
Replace Sunghun Park with:
Sunghun Park United States
Nancy Kokalis-Burelle United States
Sujay Rakshit India
Miriam Bortfeld‐Miller Switzerland
Karen R. Harris‐Shultz United States
Hiroshi Hisano Japan
Shanshan Jiang China
Ramcharan Bhattacharya India
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Renée S. Arias relative to Sunghun Park United States Sunghun Park's profile →
Citations per field
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Citations per year

Countries citing papers authored by Renée S. Arias

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Renée S. Arias

This figure shows the co-authorship network connecting the top 25 collaborators of Renée S. Arias. A scholar is included among the top collaborators of Renée S. Arias based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Renée S. Arias. Renée S. Arias is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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2 0
3 4
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5 11
6 14
7 10
8 39
9 1
10 37
11 7
12 4
13
Development of Simple Sequence\nRepeat Markers for <i>Chionanthus\nRetusus</i> (Oleaceae) and Effective\nDiscrimination of Closely\nRelated Taxa
7
14 11
15 9
16 32
17 21
18 39
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20 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) and Coconut Research and Applications (12 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.

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