Leocadio Martinez

553 total citations
8 papers, 358 citations indexed

About

Leocadio Martinez is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Leocadio Martinez has authored 8 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 6 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Leocadio Martinez's work include Plant tissue culture and regeneration (6 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Plant Virus Research Studies (4 papers). Leocadio Martinez is often cited by papers focused on Plant tissue culture and regeneration (6 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Plant Virus Research Studies (4 papers). Leocadio Martinez collaborates with scholars based in Mexico, Kenya and India. Leocadio Martinez's co-authors include J. Bolaños, G.O. Edmeades, B. M. Prasanna, Vijay Chaikam, Sudha Nair, Albrecht E. Melchinger, Raman Babu, Wolfgang Schipprack, H. Friedrich Utz and Juan Burgueño and has published in prestigious journals such as Frontiers in Plant Science, Theoretical and Applied Genetics and Field Crops Research.

In The Last Decade

Leocadio Martinez

8 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Leocadio Martinez Mexico	7	341	144	107	92	15	8	358
Mohammed Guedira United States	13	449 1.3×	126 0.9×	47 0.4×	112 1.2×	12 0.8×	17	462
Daizhen Sun China	15	396 1.2×	157 1.1×	59 0.6×	74 0.8×	6 0.4×	39	433
Babak Nakhoda Iran	13	408 1.2×	114 0.8×	49 0.5×	81 0.9×	15 1.0×	37	436
Benju Yan China	15	572 1.7×	159 1.1×	96 0.9×	57 0.6×	6 0.4×	24	586
Zifeng Guo Germany	10	570 1.7×	237 1.6×	53 0.5×	259 2.8×	15 1.0×	10	588
Huma Bahri Tunisia	3	321 0.9×	104 0.7×	21 0.2×	65 0.7×	11 0.7×	6	332
Jianshuang Qi China	9	318 0.9×	97 0.7×	116 1.1×	47 0.5×	8 0.5×	18	348
Marcin Grzybowski United States	10	227 0.7×	112 0.8×	97 0.9×	49 0.5×	3 0.2×	17	286
Abu Sefyan I. Saad Sudan	6	362 1.1×	33 0.2×	91 0.9×	109 1.2×	6 0.4×	10	390
N. P. Mandal India	7	398 1.2×	155 1.1×	27 0.3×	29 0.3×	10 0.7×	14	421

Countries citing papers authored by Leocadio Martinez

Since Specialization

Citations

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

Fields of papers citing papers by Leocadio Martinez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leocadio Martinez

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

All Works

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8 of 8 papers shown

1.

Martinez, Leocadio, et al.. (2023). Effectiveness of R1-nj Anthocyanin Marker in the Identification of In Vivo Induced Maize Haploid Embryos. Plants. 12(12). 2314–2314. 2 indexed citations

2.

Chaikam, Vijay, et al.. (2020). Improving the Efficiency of Colchicine-Based Chromosomal Doubling of Maize Haploids. Plants. 9(4). 459–459. 13 indexed citations

3.

Chaikam, Vijay, Sudha Nair, Leocadio Martinez, et al.. (2018). Marker-Assisted Breeding of Improved Maternal Haploid Inducers in Maize for the Tropical/Subtropical Regions. Frontiers in Plant Science. 9. 1527–1527. 39 indexed citations

4.

Chaikam, Vijay, et al.. (2017). Identification of in vivo induced maternal haploids in maize using seedling traits. Euphytica. 213(8). 177–177. 25 indexed citations

5.

Nair, Sudha, Willem S. Molenaar, Albrecht E. Melchinger, et al.. (2017). Dissection of a major QTL qhir1 conferring maternal haploid induction ability in maize. Theoretical and Applied Genetics. 130(6). 1113–1122. 19 indexed citations

6.

Chaikam, Vijay, Leocadio Martinez, Albrecht E. Melchinger, Wolfgang Schipprack, & B. M. Prasanna. (2016). Development and Validation of Red Root Marker‐Based Haploid Inducers in Maize. Crop Science. 56(4). 1678–1688. 49 indexed citations

7.

Chaikam, Vijay, et al.. (2014). Analysis of effectiveness of R1-nj anthocyanin marker for in vivo haploid identification in maize and molecular markers for predicting the inhibition of R1-nj expression. Theoretical and Applied Genetics. 128(1). 159–171. 65 indexed citations

8.

Bolaños, J., G.O. Edmeades, & Leocadio Martinez. (1993). Eight cycles of selection for drought tolerance in lowland tropical maize. III. Responses in drought-adaptive physiological and morphological traits. Field Crops Research. 31(3-4). 269–286. 146 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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