César Martínez

2.2k total citations
29 papers, 1.6k citations indexed

About

César Martínez is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, César Martínez has authored 29 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 13 papers in Genetics and 2 papers in Molecular Biology. Recurrent topics in César Martínez's work include Genetic Mapping and Diversity in Plants and Animals (12 papers), Rice Cultivation and Yield Improvement (9 papers) and Plant Disease Resistance and Genetics (6 papers). César Martínez is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (12 papers), Rice Cultivation and Yield Improvement (9 papers) and Plant Disease Resistance and Genetics (6 papers). César Martínez collaborates with scholars based in Colombia, United States and France. César Martínez's co-authors include Joe Tohmé, Susan R. McCouch, Michael J. Thomson, Anna M. McClung, Yunbi Xu, Thomas H. Tai, P. Moncada, Christine J. Bergman, James H. Oard and Carles Castaño and has published in prestigious journals such as SHILAP Revista de lepidopterología, Theoretical and Applied Genetics and Plant Science.

In The Last Decade

César Martínez

28 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
César Martínez Colombia 13 1.5k 1.1k 177 64 34 29 1.6k
Francesca Desiderio Italy 15 658 0.4× 294 0.3× 144 0.8× 80 1.3× 33 1.0× 31 769
Osamu Ideta Japan 14 714 0.5× 375 0.4× 178 1.0× 81 1.3× 25 0.7× 31 802
Zhongwei Lin China 13 1.2k 0.8× 722 0.7× 397 2.2× 50 0.8× 192 5.6× 20 1.3k
Lianquan Zhang China 19 1.5k 1.0× 433 0.4× 387 2.2× 45 0.7× 180 5.3× 107 1.6k
Arnaud Bellec France 16 897 0.6× 207 0.2× 329 1.9× 32 0.5× 50 1.5× 27 992
Yuye Wu China 8 448 0.3× 274 0.3× 164 0.9× 49 0.8× 119 3.5× 12 612
Luomiao Yang China 16 687 0.5× 304 0.3× 183 1.0× 14 0.2× 53 1.6× 46 761
S. P. Jefferies Australia 15 1.3k 0.8× 520 0.5× 112 0.6× 61 1.0× 267 7.9× 20 1.3k
Peterson Wambugu Kenya 12 389 0.3× 247 0.2× 154 0.9× 73 1.1× 18 0.5× 19 541
N. S. Bains India 22 1.2k 0.8× 292 0.3× 277 1.6× 35 0.5× 235 6.9× 113 1.3k

Countries citing papers authored by César Martínez

Since Specialization
Citations

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

Fields of papers citing papers by César Martínez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by César Martínez. 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 César Martínez. The network helps show where César Martínez may publish in the future.

Co-authorship network of co-authors of César Martínez

This figure shows the co-authorship network connecting the top 25 collaborators of César Martínez. A scholar is included among the top collaborators of César Martínez 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 César Martínez. César Martínez 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.
2.
Calama, Rafael, et al.. (2023). The impact of climate and management on recent mortality inPinus pinasterresin-tapped forests of inland Spain. Forestry An International Journal of Forest Research. 97(1). 120–132. 11 indexed citations
3.
Arbelaez, Juan David, Namrata Singh, Chih‐Wei Tung, et al.. (2015). Development and GBS-genotyping of introgression lines (ILs) using two wild species of rice, O. meridionalis and O. rufipogon, in a common recurrent parent, O. sativa cv. Curinga. Molecular Breeding. 35(2). 81–81. 76 indexed citations
4.
Draye, Xavier, et al.. (2015). Novel QTLs in an interspecific backcross Oryza sativa × Oryza glaberrima for resistance to iron toxicity in rice. Euphytica. 204(3). 609–625. 40 indexed citations
5.
Pachón, Helena, et al.. (2012). Preferencia y aceptabilidad de la variedad de arroz IACuba 30 con alto contenido de hierro y zinc por mujeres gestantes en Cuba. Perspectivas en Nutrición Humana. 13(2). 123–134. 5 indexed citations
6.
Sakai, Tomoko, Myriam C. Duque, Franco Alirio Vallejo Cabrera, César Martínez, & Manabu Ishitani. (2010). Establishment of drought screening protocols for rice under field conditions. SHILAP Revista de lepidopterología. 7 indexed citations
7.
8.
Cabrera, Franco Alirio Vallejo, et al.. (2008). Parámetros genéticos de la longitud de panícula en arroz. SHILAP Revista de lepidopterología. 1 indexed citations
9.
McCouch, Susan R., Megan Sweeney, Jiming Li, et al.. (2006). Through the genetic bottleneck: O. rufipogon as a source of trait-enhancing alleles for O. sativa. Euphytica. 154(3). 317–339. 144 indexed citations
10.
Martínez, César, et al.. (2004). QTL mapping of grain quality traits from the interspecific cross Oryza sativa × O. glaberrima. Theoretical and Applied Genetics. 109(3). 630–639. 260 indexed citations
11.
Martínez, César, et al.. (2003). Caracterización de la lacasa obtenida por dos métodos de producción con Pleurotus ostreatus. SHILAP Revista de lepidopterología. 5(2). 64–72. 8 indexed citations
12.
Thomson, Michael J., Thomas H. Tai, Anna M. McClung, et al.. (2003). Mapping quantitative trait loci for yield, yield components and morphological traits in an advanced backcross population between Oryza rufipogon and the Oryza sativa cultivar Jefferson. Theoretical and Applied Genetics. 107(3). 479–493. 445 indexed citations
13.
Anh, Nguyễn Thị Vân, Bui Xuan Nguyen, S. Sarkarung, et al.. (2002). Mapping of genes controlling aluminum tolerance in rice: comparison of different genetic backgrounds. Molecular Genetics and Genomics. 267(6). 772–780. 68 indexed citations
14.
Moncada, P., César Martínez, J Borrero, et al.. (2001). Quantitative trait loci for yield and yield components in an Oryza sativa×Oryza rufipogon BC2F2 population evaluated in an upland environment. Theoretical and Applied Genetics. 102(1). 41–52. 282 indexed citations
15.
Martínez, César, et al.. (2000). Rice inheritance of resistance to mechanical damage caused by sogata. The Journal of Agriculture of the University of Puerto Rico. 84(1-2). 47–52. 3 indexed citations
16.
Martínez, César, et al.. (1996). Comparison of rice lines derived through anther culture and the pedigree method in relation to blast (Pyricularia grisea Sacc.) resistance. Theoretical and Applied Genetics. 92(5). 583–590. 6 indexed citations
17.
Martínez, César, et al.. (1995). Androgenesis of highly recalcitrant rice genotypes with maltose and silver nitrate. Plant Science. 110(1). 127–138. 64 indexed citations
18.
Martínez, César, et al.. (1994). Nuclear DNA content of ten rice species as determined by flow cytometry.. The Japanese Journal of Genetics. 69(5). 513–523. 28 indexed citations
19.
Martínez, César, et al.. (1994). Nuclear DNA content of ten rice species as determined by flow cytometry. Genes & Genetic Systems. 69(5). 513–523. 2 indexed citations
20.
Duveiller, E. & César Martínez. (1990). Seed detection of Pseudomonas fuscovaginae in wheat.. 55. 1047–1053. 2 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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