J. M. Lasa

969 total citations
31 papers, 712 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 712 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 I. Karsaï 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 670 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. M. Lasa Spain	17	663	221	139	86	48	31	712
Won Byoung Chae South Korea	13	398 0.6×	55 0.2×	136 1.0×	181 2.1×	20 0.4×	53	553
Jafar Ahmadi Iran	16	655 1.0×	197 0.9×	127 0.9×	121 1.4×	5 0.1×	44	720
Vahid Shariati Iran	12	326 0.5×	132 0.6×	42 0.3×	93 1.1×	7 0.1×	33	408
Martin Frauen Germany	13	687 1.0×	125 0.6×	54 0.4×	401 4.7×	9 0.2×	16	810
Antonio Mauceri Italy	14	371 0.6×	97 0.4×	34 0.2×	99 1.2×	7 0.1×	27	438
Bob Redden Australia	7	329 0.5×	28 0.1×	54 0.4×	83 1.0×	9 0.2×	10	416
Sandra Cvejić Serbia	11	421 0.6×	34 0.2×	87 0.6×	101 1.2×	6 0.1×	65	483
Zeynal Akparov Azerbaijan	10	306 0.5×	88 0.4×	30 0.2×	54 0.6×	5 0.1×	37	359
Ksenija Taški-Ajduković Serbia	12	291 0.4×	63 0.3×	41 0.3×	116 1.3×	4 0.1×	40	347
Ebrahiem Babiker United States	16	528 0.8×	137 0.6×	44 0.3×	142 1.7×	3 0.1×	42	564

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Cuesta‐Marcos, Alfonso, M. Pilar Gracia, J. M. Lasa, et al.. (2014). Spanish barley landraces outperform modern cultivars at low‐productivity sites. Plant Breeding. 133(2). 218–226. 44 indexed citations

Benito, M., J. M. Lasa, M. Pilar Gracia, et al.. (2012). Olive oil quality and ripening in super‐high‐density Arbequina orchard. Journal of the Science of Food and Agriculture. 93(9). 2207–2220. 37 indexed citations

Gracia, M. Pilar, Ana Cristina Sánchez‐Gimeno, M. Benito, Rosa Oria, & J. M. Lasa. (2012). Short communication. Harvest time in hedgerow ‘Arbequina’ olive orchards in areas with early frosts. Spanish Journal of Agricultural Research. 10(1). 179–182. 9 indexed citations

Silvar, Cristina, Kerstin Flath, Doris Kopahnke, et al.. (2011). Analysis of powdery mildew resistance in the Spanish barley core collection. Plant Breeding. 130(2). 195–202. 15 indexed citations

Benito, M., et al.. (2011). Evolution of phenols and pigments in extra virgin olive oil from irrigated super‐intensive orchard. European Journal of Lipid Science and Technology. 114(5). 558–567. 8 indexed citations

Casas, Ana M., Francisco J. Ciudad, Bruno Contreras‐Moreira, et al.. (2011). HvFT1 (VrnH3) drives latitudinal adaptation in Spanish barleys. Theoretical and Applied Genetics. 122(7). 1293–1304. 32 indexed citations

Casao, M. Cristina, Ernesto Igartua, I. Karsaï, et al.. (2010). Expression analysis of vernalization and day-length response genes in barley (Hordeum vulgare L.) indicates that VRNH2 is a repressor of PPDH2 (HvFT3) under long days. Journal of Experimental Botany. 62(6). 1939–1949. 39 indexed citations

Silvar, Cristina, Ana M. Casas, Doris Kopahnke, et al.. (2009). Screening the Spanish Barley Core Collection for disease resistance. Plant Breeding. 129(1). 45–52. 49 indexed citations

Silvar, Cristina, Ernesto Igartua, Doris Kopahnke, et al.. (2009). Identification of quantitative trait loci for resistance to powdery mildew in a Spanish barley landrace. Molecular Breeding. 25(4). 581–592. 17 indexed citations

10.

Lasa, J. M.. (2008). Spanish barley core collection. 7 indexed citations

11.

Cuesta‐Marcos, Alfonso, Ana M. Casas, Patrick M. Hayes, et al.. (2008). Yield QTL affected by heading date in Mediterranean grown barley. Plant Breeding. 128(1). 46–53. 45 indexed citations

12.

Igartua, Ernesto, Marian Moralejo, Luke Ramsay, et al.. (2007). Patterns of genetic and eco-geographical diversity in Spanish barleys. Theoretical and Applied Genetics. 116(2). 271–282. 59 indexed citations

13.

Cuesta‐Marcos, Alfonso, Ernesto Igartua, Francisco J. Ciudad, et al.. (2007). Heading date QTL in a spring × winter barley cross evaluated in Mediterranean environments. Molecular Breeding. 21(4). 455–471. 45 indexed citations

14.

Lasa, J. M., Ernesto Igartua, Francisco J. Ciudad, et al.. (2004). Morphological and Agronomical Diversity Patterns in the Spanish Barley Core Collection. Hereditas. 135(2-3). 217–225. 37 indexed citations

15.

Mason, Stephen, et al.. (1994). Interrelationship of sorghum coleoptile morphology with emergence potential in crusted soils. European Journal of Agronomy. 3(1). 17–21. 6 indexed citations

16.

Hecker, R. J. & J. M. Lasa. (1992). Registration of FC401, FC402, and FC403, Three Sugarbeet Parental Lines. Crop Science. 32(5). 1299–1299. 1 indexed citations

17.

Lasa, J. M., I. Romagosa, R. J. Hecker, & Jesús M. Sanz. (1989). Combining Ability in Diploid and Triploid Sugarbeet Hybrids from Diverse Parents. Journal of Sugarbeet Research. 26(1). 10–18. 3 indexed citations

18.

Casas, Ana M., J. M. Lasa, R. J. Hecker, & I. Romagosa. (1989). In Vitro Multiplication of Primary Trisomic Sugarbeets. Journal of Sugarbeet Research. 26(1). 19–25. 1 indexed citations

19.

Romagosa, I., L. Cistué, T. Tsuchiya, J. M. Lasa, & R. J. Hecker. (1987). Primary Trisomics in Sugarbeet. II. Cytological Identification¹. Crop Science. 27(3). 435–439. 9 indexed citations

20.

Cistué, L., I. Romagosa, T. Tsuchiya, & J. M. Lasa. (1985). Karyotype Analysis in Haploid Sugarbeet. Botanical Gazette. 146(2). 259–263. 5 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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