Roberto A. Young

521 total citations
10 papers, 395 citations indexed

About

Roberto A. Young is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Roberto A. Young has authored 10 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 5 papers in Cell Biology and 3 papers in Molecular Biology. Recurrent topics in Roberto A. Young's work include Plant pathogens and resistance mechanisms (7 papers), Plant Pathogenic Bacteria Studies (6 papers) and Plant Pathogens and Fungal Diseases (5 papers). Roberto A. Young is often cited by papers focused on Plant pathogens and resistance mechanisms (7 papers), Plant Pathogenic Bacteria Studies (6 papers) and Plant Pathogens and Fungal Diseases (5 papers). Roberto A. Young collaborates with scholars based in United States, Honduras and Norway. Roberto A. Young's co-authors include James D. Kelly, Rubens Onofre Nodari, Maeli Melotto, Massimo Iorizzo, Penelope Perkins‐Veazie, Qiu‐Yun Xiang, Nicholas D. Gillitt, Hamed Bostan, Giuseppe Valacchi and Raúl Castanera and has published in prestigious journals such as Scientific Reports, Theoretical and Applied Genetics and Crop Science.

In The Last Decade

Roberto A. Young

10 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roberto A. Young United States 6 385 109 88 37 6 10 395
Anju Pathania India 7 249 0.6× 121 1.1× 31 0.4× 27 0.7× 6 1.0× 20 269
Marcial A. Pastor Corrales 3 307 0.8× 65 0.6× 64 0.7× 21 0.6× 2 0.3× 5 311
A. C. P. Goulart Brazil 9 382 1.0× 154 1.4× 25 0.3× 45 1.2× 18 3.0× 48 390
Lorenna Lopes de Sousa Brazil 10 341 0.9× 62 0.6× 80 0.9× 22 0.6× 10 1.7× 13 345
Pastor-Corrales 4 415 1.1× 102 0.9× 88 1.0× 28 0.8× 1 0.2× 9 417
Demetrios G. Roupakias Greece 8 312 0.8× 55 0.5× 37 0.4× 95 2.6× 18 3.0× 12 328
A. Sartorato Brazil 13 485 1.3× 162 1.5× 64 0.7× 31 0.8× 2 0.3× 57 491
Giseli Valentini Brazil 12 353 0.9× 65 0.6× 65 0.7× 33 0.9× 9 1.5× 37 367
Giselly Figueiredo Lacanallo Brazil 10 320 0.8× 62 0.6× 81 0.9× 14 0.4× 8 1.3× 22 326
Douglas J. Jardine United States 8 208 0.5× 107 1.0× 18 0.2× 29 0.8× 7 1.2× 19 221

Countries citing papers authored by Roberto A. Young

Since Specialization
Citations

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

Fields of papers citing papers by Roberto A. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto A. Young. 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 Roberto A. Young. The network helps show where Roberto A. Young may publish in the future.

Co-authorship network of co-authors of Roberto A. Young

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto A. Young. A scholar is included among the top collaborators of Roberto A. Young 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 Roberto A. Young. Roberto A. Young is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Young, Roberto A., Colleen J. Doherty, Nicholas D. Gillitt, et al.. (2023). Comparative transcriptome analysis reveals candidate genes for cold stress response and early flowering in pineapple. Scientific Reports. 13(1). 18890–18890. 5 indexed citations
2.
Bostan, Hamed, Roberto A. Young, Giuseppe Valacchi, et al.. (2023). Identification of bromelain subfamily proteases encoded in the pineapple genome. Scientific Reports. 13(1). 11605–11605. 7 indexed citations
3.
4.
Young, Roberto A., Maeli Melotto, Rubens Onofre Nodari, & James D. Kelly. (1998). Marker-assisted dissection of the oligogenic anthracnose resistance in the common bean cultivar, ‘G2333’. Theoretical and Applied Genetics. 96(1). 87–94. 140 indexed citations
5.
Young, Roberto A. & James D. Kelly. (1997). RAPD Markers Linked to Three Major Anthracnose Resistance Genes in Common Bean. Crop Science. 37(3). 940–946. 80 indexed citations
6.
Young, Roberto A. & James D. Kelly. (1996). Gene pyramiding using marker assisted selection for stable resistance to bean anthracnose. Annual Report of the Bean Improvement Cooperative. Bean Improvement Cooperative. 39. 57–58. 3 indexed citations
7.
Young, Roberto A. & James D. Kelly. (1996). Is the anthracnose resistance 'A' gene the same in cultivars belonging to both bean gene pools?. Annual Report of the Bean Improvement Cooperative. Bean Improvement Cooperative. 39. 296–297. 3 indexed citations
8.
Young, Roberto A. & James D. Kelly. (1996). RAPD Markers Flanking the Are Gene for Anthracnose Resistance in Common Bean. Journal of the American Society for Horticultural Science. 121(1). 37–41. 49 indexed citations
9.
Young, Roberto A.. (1996). Characterization of the Genetic Resistance toColletotrichum lindemuthianumin Common Bean Differential Cultivars. Plant Disease. 80(6). 650–650. 98 indexed citations
10.
Young, Roberto A., et al.. (1991). Daños causados por Xanthomonas campestris pv. phaseoli y su efecto en el rendimiento del frijol común (habichuela; Phaseolus vulgaris). The Journal of Agriculture of the University of Puerto Rico. 75(4). 353–361. 3 indexed citations

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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