J. M. Lasa

39 total papers · 965 total citations
31 papers, 718 citations indexed

About

J. M. Lasa is a scholar working on Plant Science, Agronomy and Crop Science and Genetics. According to data from OpenAlex, J. M. Lasa has authored 31 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 6 papers in Agronomy and Crop Science and 6 papers in Genetics. Recurrent topics in J. M. Lasa's work include Wheat and Barley Genetics and Pathology (16 papers), Genetics and Plant Breeding (12 papers) and Plant Disease Resistance and Genetics (10 papers). J. M. Lasa is often cited by papers focused on Wheat and Barley Genetics and Pathology (16 papers), Genetics and Plant Breeding (12 papers) and Plant Disease Resistance and Genetics (10 papers). J. M. Lasa collaborates with scholars based in Spain, United States and Germany. J. M. Lasa's co-authors include M. Pilar Gracia, Ernesto Igartua, Ana M. Casas, Francisco J. Ciudad, J. L. Molina‐Cano, I. Romagosa, Marian Moralejo, Marc Valls, Alfonso Cuesta‐Marcos and Cristina Silvar and has published in prestigious journals such as Journal of Experimental Botany, Theoretical and Applied Genetics and Field Crops Research.

In The Last Decade

J. M. Lasa

31 papers receiving 672 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
J. M. Lasa 669 221 139 88 48 31 718
F. Sági 606 0.9× 142 0.6× 127 0.9× 200 2.3× 19 0.4× 28 726
Ying Guo 674 1.0× 206 0.9× 139 1.0× 142 1.6× 11 0.2× 41 736
Domenica Nigro 618 0.9× 197 0.9× 117 0.8× 93 1.1× 8 0.2× 41 713
Bruno Nouy 237 0.4× 169 0.8× 56 0.4× 240 2.7× 34 0.7× 27 757
Claudio De Giovanni 765 1.1× 201 0.9× 42 0.3× 180 2.0× 19 0.4× 27 857
Xiaobo Wang 674 1.0× 132 0.6× 115 0.8× 183 2.1× 6 0.1× 24 775
Ratan Chopra 689 1.0× 236 1.1× 190 1.4× 315 3.6× 8 0.2× 35 880
Jafar Ahmadi 653 1.0× 196 0.9× 127 0.9× 119 1.4× 5 0.1× 44 715
Braulio J. Soto‐Cerda 544 0.8× 153 0.7× 61 0.4× 93 1.1× 5 0.1× 32 641
Muqiang Gao 773 1.2× 96 0.4× 143 1.0× 241 2.7× 10 0.2× 19 856

Countries citing papers authored by J. M. Lasa

Since Specialization
Citations

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

Fields of papers citing papers by J. M. Lasa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. M. Lasa. 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 J. M. Lasa. The network helps show where J. M. Lasa may publish in the future.

Co-authorship network of co-authors of J. M. Lasa

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

All Works

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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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