María R. Rojas

4.8k total citations · 1 hit paper
53 papers, 3.4k citations indexed

About

María R. Rojas is a scholar working on Plant Science, Endocrinology and Molecular Biology. According to data from OpenAlex, María R. Rojas has authored 53 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Plant Science, 15 papers in Endocrinology and 10 papers in Molecular Biology. Recurrent topics in María R. Rojas's work include Plant Virus Research Studies (47 papers), Plant and Fungal Interactions Research (15 papers) and Plant Pathogenic Bacteria Studies (12 papers). María R. Rojas is often cited by papers focused on Plant Virus Research Studies (47 papers), Plant and Fungal Interactions Research (15 papers) and Plant Pathogenic Bacteria Studies (12 papers). María R. Rojas collaborates with scholars based in United States, Brazil and Mali. María R. Rojas's co-authors include R. L. Gilbertson, William J. Lucas, Charles Hagen, Tatsuya Kon, F. Murilo Zerbini, Mysore R. Sudarshana, Beatriz Xoconostle‐Cázares, Raquel Salati, Hao Jiang and D. P. Maxwell and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

María R. Rojas

53 papers receiving 3.3k citations

Hit Papers

Use of Degenerate Primers... 1993 2026 2004 2015 1993 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
María R. Rojas United States 28 3.3k 886 865 567 427 53 3.4k
Rafael F. Rivera-Bustamante Mexico 32 3.8k 1.1× 907 1.0× 1.1k 1.3× 709 1.3× 401 0.9× 93 4.0k
V. G. Malathi India 23 2.5k 0.8× 647 0.7× 641 0.7× 638 1.1× 247 0.6× 83 3.0k
Scott Adkins United States 29 3.6k 1.1× 1.5k 1.6× 1.1k 1.2× 476 0.8× 198 0.5× 165 4.0k
Alice K. Inoue‐Nagata Brazil 26 2.5k 0.8× 985 1.1× 659 0.8× 264 0.5× 324 0.8× 138 2.6k
Ian Bedford United Kingdom 31 3.7k 1.1× 2.2k 2.5× 912 1.1× 602 1.1× 317 0.7× 66 4.2k
Elvira Fiallo‐Olivé Spain 23 2.7k 0.8× 1.3k 1.5× 643 0.7× 338 0.6× 341 0.8× 71 2.9k
Hervé Lecoq France 29 2.3k 0.7× 595 0.7× 743 0.9× 347 0.6× 325 0.8× 77 2.5k
Pasquale Saldarelli Italy 32 2.8k 0.9× 1.0k 1.2× 1.4k 1.7× 351 0.6× 491 1.1× 120 3.0k
Miguel A. Aranda Spain 43 4.3k 1.3× 1.0k 1.2× 1.2k 1.4× 1.2k 2.1× 245 0.6× 129 4.6k
B. E. L. Lockhart United States 30 2.6k 0.8× 502 0.6× 686 0.8× 639 1.1× 254 0.6× 146 2.7k

Countries citing papers authored by María R. Rojas

Since Specialization
Citations

This map shows the geographic impact of María R. Rojas'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 María R. Rojas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María R. Rojas more than expected).

Fields of papers citing papers by María R. Rojas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María R. Rojas. 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 María R. Rojas. The network helps show where María R. Rojas may publish in the future.

Co-authorship network of co-authors of María R. Rojas

This figure shows the co-authorship network connecting the top 25 collaborators of María R. Rojas. A scholar is included among the top collaborators of María R. Rojas 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 María R. Rojas. María R. Rojas 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
2.
Boiteux, L. S., et al.. (2023). Tomato golden net virus and tomato yellow net virus: two novel New World begomoviruses with monopartite genomes. Archives of Virology. 168(9). 235–235. 1 indexed citations
3.
Maliano, Minor R., M. A. Macedo, María R. Rojas, & R. L. Gilbertson. (2021). Weed-infecting viruses in a tropical agroecosystem present different threats to crops and evolutionary histories. PLoS ONE. 16(4). e0250066–e0250066. 7 indexed citations
5.
Macedo, M. A., et al.. (2019). Complete sequence of a new bipartite begomovirus infecting Sida sp. in Northeastern Brazil. Archives of Virology. 165(1). 253–256. 4 indexed citations
6.
Batuman, Özgur, Thomas A. Turini, Paulo Oliveira, et al.. (2016). First Report of a Resistance-Breaking Strain of Tomato spotted wilt virus Infecting Tomatoes With the Sw-5 Tospovirus-Resistance Gene in California. Plant Disease. 101(4). 637–637. 39 indexed citations
7.
Stewart, Cheryl, et al.. (2014). Mixed infection of Sida jamaicensis in Jamaica reveals the presence of three recombinant begomovirus DNA A components. Archives of Virology. 159(9). 2509–2512. 10 indexed citations
8.
Yoo, Soo‐Cheul, Cheng Chen, María R. Rojas, et al.. (2013). Phloem long‐distance delivery of FLOWERING LOCUS T ( FT ) to the apex. The Plant Journal. 75(3). 456–468. 79 indexed citations
9.
Moreira, L., et al.. (2013). Occurrence of Squash yellow mild mottle virus and Pepper golden mosaic virus in Potential New Hosts in Costa Rica. The Plant Pathology Journal. 29(3). 285–293. 4 indexed citations
11.
Rojo, Leonel E., et al.. (2009). Antioxidant capacity and polyphenolic content of twelve traditionally used herbal medicinal infusions from the South American Andes.. Boletin Latinoamericano y del Caribe de plantas Medicinales y Aromaticas. 8(6). 498–508. 18 indexed citations
12.
Kon, Tatsuya, et al.. (2009). Roles and interactions of begomoviruses and satellite DNAs associated with okra leaf curl disease in Mali, West Africa. Journal of General Virology. 90(4). 1001–1013. 75 indexed citations
13.
DeSantis, Todd Z., Philip Hugenholtz, N. Larsen, et al.. (2006). Greengenes: Chimera-checked 16S rRNA gene database and workbench compatible in ARB. University of North Texas Digital Library (University of North Texas). 10 indexed citations
14.
Rojas, María R., Charles Hagen, William J. Lucas, & R. L. Gilbertson. (2005). Exploiting Chinks in the Plant's Armor: Evolution and Emergence of Geminiviruses. Annual Review of Phytopathology. 43(1). 361–394. 446 indexed citations
15.
Lee, Jung‐Youn, Byung-Chun Yoo, María R. Rojas, et al.. (2003). Selective Trafficking of Non-Cell-Autonomous Proteins Mediated by NtNCAPP1. Science. 299(5605). 392–396. 128 indexed citations
16.
Gilbertson, R. L., Mysore R. Sudarshana, Hao Jiang, María R. Rojas, & William J. Lucas. (2003). Limitations on Geminivirus Genome Size Imposed by Plasmodesmata and Virus-Encoded Movement Protein: Insights into DNA Trafficking. The Plant Cell. 15(11). 2578–2591. 58 indexed citations
17.
Guzmán, P., Mysore R. Sudarshana, Young‐Su Seo, et al.. (2000). A New Bipartite Geminivirus (Begomovirus) Causing Leaf Curl and Crumpling in Cucurbits in the Imperial Valley of California. Plant Disease. 84(4). 488–488. 37 indexed citations
18.
Rojas, María R., Amine Noueiry, William J. Lucas, & R. L. Gilbertson. (1998). Bean Dwarf Mosaic Geminivirus Movement Proteins Recognize DNA in a Form- and Size-Specific Manner. Cell. 95(1). 105–113. 102 indexed citations
19.
Gilbertson, R. L., et al.. (1993). Pseudorecombination between infectious cloned DNA components of tomato mottle and bean dwarf mosaic geminiviruses. Journal of General Virology. 74(1). 23–31. 70 indexed citations
20.
Rojas, María R.. (1993). Use of Degenerate Primers in the Polymerase Chain Reaction to Detect Whitefly-Transmitted Geminiviruses. Plant Disease. 77(4). 340–340. 656 indexed citations breakdown →

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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