José Luis Goicoechea

8.0k total citations
24 papers, 678 citations indexed

About

José Luis Goicoechea is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, José Luis Goicoechea has authored 24 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Plant Science, 14 papers in Molecular Biology and 10 papers in Genetics. Recurrent topics in José Luis Goicoechea's work include Chromosomal and Genetic Variations (16 papers), Genomics and Phylogenetic Studies (14 papers) and Plant Disease Resistance and Genetics (8 papers). José Luis Goicoechea is often cited by papers focused on Chromosomal and Genetic Variations (16 papers), Genomics and Phylogenetic Studies (14 papers) and Plant Disease Resistance and Genetics (8 papers). José Luis Goicoechea collaborates with scholars based in United States, China and Philippines. José Luis Goicoechea's co-authors include Rod A. Wing, Yeisoo Yu, Dave Kudrna, Jetty S. S. Ammiraju, Meizhong Luo, Scott A. Jackson, J. P. Tomkins, Kristi Collura, Halina T. Knap and Harold C. Smith and has published in prestigious journals such as Bioinformatics, PLoS ONE and The Plant Cell.

In The Last Decade

José Luis Goicoechea

23 papers receiving 657 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José Luis Goicoechea United States 15 588 334 226 42 15 24 678
Jamie McCuiston United States 7 609 1.0× 507 1.5× 100 0.4× 68 1.6× 26 1.7× 7 726
Chunguang Du United States 13 500 0.9× 357 1.1× 105 0.5× 33 0.8× 14 0.9× 17 596
Yu-Pan Zou China 10 338 0.6× 355 1.1× 133 0.6× 69 1.6× 13 0.9× 15 553
Hangning Zhang United States 8 419 0.7× 224 0.7× 128 0.6× 35 0.8× 10 0.7× 10 502
Sandra Giancola France 12 574 1.0× 481 1.4× 151 0.7× 41 1.0× 10 0.7× 13 720
Huiwu Tang China 10 401 0.7× 279 0.8× 241 1.1× 31 0.7× 9 0.6× 14 514
Katherine Houchins United States 11 537 0.9× 192 0.6× 385 1.7× 29 0.7× 23 1.5× 11 676
Yinghua Ling China 16 836 1.4× 452 1.4× 288 1.3× 24 0.6× 8 0.5× 57 878
Yuxuan Yuan Australia 11 480 0.8× 294 0.9× 187 0.8× 20 0.5× 9 0.6× 21 637
Jayson Talag United States 11 440 0.7× 250 0.7× 129 0.6× 28 0.7× 5 0.3× 20 511

Countries citing papers authored by José Luis Goicoechea

Since Specialization
Citations

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

Fields of papers citing papers by José Luis Goicoechea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José Luis Goicoechea. 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 José Luis Goicoechea. The network helps show where José Luis Goicoechea may publish in the future.

Co-authorship network of co-authors of José Luis Goicoechea

This figure shows the co-authorship network connecting the top 25 collaborators of José Luis Goicoechea. A scholar is included among the top collaborators of José Luis Goicoechea 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 José Luis Goicoechea. José Luis Goicoechea 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
1.
Jacquemin, Julie, Cristian Chaparro, Michèle Laudié, et al.. (2011). Long-Range and Targeted Ectopic Recombination between the Two Homeologous Chromosomes 11 and 12 in Oryza Species. Molecular Biology and Evolution. 28(11). 3139–3150. 17 indexed citations
2.
Song, Xiang, José Luis Goicoechea, Jetty S. S. Ammiraju, et al.. (2011). The 19 Genomes of Drosophila: A BAC Library Resource for Genus-Wide and Genome-Scale Comparative Evolutionary Research. Genetics. 187(4). 1023–1030. 18 indexed citations
3.
Febrer, Melanie, José Luis Goicoechea, Jonathan Wright, et al.. (2010). An Integrated Physical, Genetic and Cytogenetic Map of Brachypodium distachyon, a Model System for Grass Research. PLoS ONE. 5(10). e13461–e13461. 37 indexed citations
4.
Goicoechea, José Luis, Jetty S. S. Ammiraju, Pradeep Reddy Marri, et al.. (2010). The Future of Rice Genomics: Sequencing the Collective Oryza Genome. Rice. 3(2-3). 89–97. 11 indexed citations
5.
Goicoechea, José Luis. (2009). Structural Comparative Genomics of Four African Species of Oryza. UA Campus Repository (The University of Arizona). 3 indexed citations
6.
Nah, Gyoungju, Peter G. Mohr, Meizhong Luo, et al.. (2009). Comparative sequence analysis of the SALT OVERLY SENSITIVE1 orthologous region in Thellungiella halophila and Arabidopsis thaliana. Genomics. 94(3). 196–203. 13 indexed citations
7.
Rounsley, Steve, Pradeep Reddy Marri, Yeisoo Yu, et al.. (2009). De Novo Next Generation Sequencing of Plant Genomes. Rice. 2(1). 35–43. 45 indexed citations
8.
Wing, Rod A., Hye‐Ran Kim, Yeisoo Yu, et al.. (2008). The Oryza Map Alignment Project. 161–161. 2 indexed citations
9.
Ammiraju, Jetty S. S., Fei Lü, Abhijit Sanyal, et al.. (2008). Dynamic Evolution ofOryzaGenomes Is Revealed by Comparative Genomic Analysis of a Genus-Wide Vertical Data Set. The Plant Cell. 20(12). 3191–3209. 98 indexed citations
10.
Schlueter, Jessica A., José Luis Goicoechea, Kristi Collura, et al.. (2008). BAC-end Sequence Analysis and a Draft Physical Map of the Common Bean (Phaseolus vulgaris L.) Genome. Tropical Plant Biology. 1(1). 40–48. 49 indexed citations
11.
Goicoechea, José Luis, Yeisoo Yu, David Kudrna, et al.. (2007). The Oryza map alignment project (OMAP): a new resource for comparative genomics studies within Oryza. 51–64. 1 indexed citations
12.
Presting, Gernot G., Todd Wood, Yeisoo Yu, et al.. (2007). A Framework for Sequencing the Rice Genome. Novartis Foundation symposium. 236. 13–27.
13.
Luo, Meizhong, Yeisoo Yu, Hye‐Ran Kim, et al.. (2005). Utilization of a zebra finch BAC library to determine the structure of an avian androgen receptor genomic region. Genomics. 87(1). 181–190. 19 indexed citations
15.
Wing, Rod A., Jetty S. S. Ammiraju, Meizhong Luo, et al.. (2005). The Oryza Map Alignment Project: The Golden Path to Unlocking the Genetic Potential of Wild Rice Species. Plant Molecular Biology. 59(1). 53–62. 111 indexed citations
16.
Tomkins, J. P., Gregory Davis, Dorrie Main, et al.. (2002). Construction and Characterization of a Deep‐Coverage Bacterial Artificial Chromosome Library for Maize. Crop Science. 42(3). 928–933. 33 indexed citations
17.
Tomkins, J. P., Dorrie Main, José Luis Goicoechea, et al.. (2002). New genomic resources for the honey bee(Apis mellifera L.): development of a deep-coverage BAC library and a preliminary STC database.. PubMed. 1(4). 306–16. 10 indexed citations
18.
Tomkins, J. P., Gregory Davis, Dorrie Main, et al.. (2002). Construction and Characterization of a Deep-Coverage Bacterial Artificial Chromosome Library for Maize. Crop Science. 42(3). 928–928. 15 indexed citations
19.
Tomkins, Jeffrey, Todd Wood, Minviluz G. Stacey, et al.. (2001). A Marker-Dense Physical Map of the Bradyrhizobium japonicum Genome. Genome Research. 11(8). 1434–1440. 9 indexed citations
20.
Tomkins, J. P., Ramamurthy Mahalingam, Harold C. Smith, et al.. (1999). A bacterial artificial chromosome library for soybean PI 437654 and identification of clones associated with cyst nematode resistance. Plant Molecular Biology. 41(1). 25–32. 58 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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