Suketoshi Taba

2.3k total citations
32 papers, 1.5k citations indexed

About

Suketoshi Taba is a scholar working on Plant Science, Genetics and Food Science. According to data from OpenAlex, Suketoshi Taba has authored 32 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 16 papers in Genetics and 6 papers in Food Science. Recurrent topics in Suketoshi Taba's work include Genetics and Plant Breeding (20 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers) and Genetic and phenotypic traits in livestock (6 papers). Suketoshi Taba is often cited by papers focused on Genetics and Plant Breeding (20 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers) and Genetic and phenotypic traits in livestock (6 papers). Suketoshi Taba collaborates with scholars based in Mexico, United States and China. Suketoshi Taba's co-authors include Jorge Franco, José Crossa, Marilyn L. Warburton, B. Skovmand, Timothy Reeves, Jean‐Marcel Ribaut, Mireille Khairallah, David Hoisington, Jianbing Yan and Yunbi Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Theoretical and Applied Genetics.

In The Last Decade

Suketoshi Taba

32 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suketoshi Taba Mexico 19 1.2k 677 181 172 149 32 1.5k
Mani Vetriventhan India 17 1.0k 0.9× 368 0.5× 175 1.0× 243 1.4× 168 1.1× 44 1.4k
John Derera South Africa 24 1.5k 1.3× 425 0.6× 412 2.3× 125 0.7× 170 1.1× 145 1.8k
Eric Yirenkyi Danquah Ghana 19 1.2k 1.0× 339 0.5× 224 1.2× 110 0.6× 130 0.9× 141 1.4k
Jean-Pierre Baudoin Belgium 22 1.4k 1.2× 378 0.6× 125 0.7× 181 1.1× 349 2.3× 147 1.8k
Pangirayi Tongoona Ghana 23 1.6k 1.4× 589 0.9× 492 2.7× 151 0.9× 151 1.0× 171 1.9k
Mulatu Geleta Sweden 24 1.2k 1.0× 519 0.8× 285 1.6× 150 0.9× 312 2.1× 92 1.6k
Penelope J. Bebeli Greece 23 1.5k 1.2× 266 0.4× 165 0.9× 107 0.6× 213 1.4× 75 1.7k
Rita H. Mumm United States 17 1.0k 0.9× 513 0.8× 175 1.0× 82 0.5× 312 2.1× 32 1.3k
Kebebew Assefa Ethiopia 23 1.1k 0.9× 272 0.4× 275 1.5× 173 1.0× 126 0.8× 79 1.4k
C L L Gowda India 23 1.6k 1.3× 259 0.4× 246 1.4× 136 0.8× 111 0.7× 75 1.8k

Countries citing papers authored by Suketoshi Taba

Since Specialization
Citations

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

Fields of papers citing papers by Suketoshi Taba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suketoshi Taba

This figure shows the co-authorship network connecting the top 25 collaborators of Suketoshi Taba. A scholar is included among the top collaborators of Suketoshi Taba 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 Suketoshi Taba. Suketoshi Taba 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.
Mauricio-Sánchez, Reina Araceli, Juan de Dios Figueroa‐Cárdenas, Suketoshi Taba, et al.. (2022). CARACTERIZACIÓN DE ACCESIONES DE MAÍZ POR CALIDAD DE GRANO Y TORTILLA. Revista Fitotecnia Mexicana. 27(3). 213–213. 2 indexed citations
2.
Bedoya, Claudia, Susanne Dreisigacker, Sarah Hearne, et al.. (2017). Genetic diversity and population structure of native maize populations in Latin America and the Caribbean. PLoS ONE. 12(4). e0173488–e0173488. 48 indexed citations
3.
Wen, Weiwei, et al.. (2012). Genetic Characterization of a Core Set of a Tropical Maize Race Tuxpeño for Further Use in Maize Improvement. PLoS ONE. 7(3). e32626–e32626. 41 indexed citations
4.
Wen, Weiwei, et al.. (2012). The strategy and potential utilization of temperate germplasm for tropical germplasm improvement: a case study of maize (Zea mays L.). Molecular Breeding. 29(4). 951–962. 14 indexed citations
5.
Lu, Yanli, Trushar Shah, Zhuanfang Hao, et al.. (2011). Comparative SNP and Haplotype Analysis Reveals a Higher Genetic Diversity and Rapider LD Decay in Tropical than Temperate Germplasm in Maize. PLoS ONE. 6(9). e24861–e24861. 74 indexed citations
6.
Lu, Yanli, Zhuanfang Hao, Chuanxiao Xie, et al.. (2011). Large-scale screening for maize drought resistance using multiple selection criteria evaluated under water-stressed and well-watered environments. Field Crops Research. 124(1). 37–45. 98 indexed citations
7.
Ortíz, Rodomiro, Suketoshi Taba, Mónica Mezzalama, et al.. (2010). Conserving and Enhancing Maize Genetic Resources as Global Public Goods–A Perspective from CIMMYT. Crop Science. 50(1). 13–28. 53 indexed citations
8.
Lu, Yanli, Jianbing Yan, C. T. Guimarães, et al.. (2009). Molecular characterization of global maize breeding germplasm based on genome-wide single nucleotide polymorphisms. Theoretical and Applied Genetics. 120(1). 93–115. 197 indexed citations
9.
Taba, Suketoshi, et al.. (2007). Efecto del tamaño del gránulo de almidón de maíz en sus propiedades térmicas y de pastificado. Revista Fitotecnia Mexicana. 30(3). 269–277. 11 indexed citations
10.
Taba, Suketoshi, et al.. (2007). Efecto antimicrobiano del orégano mexicano (lippia berlandieri Schauer) y de su aceite esencial sobre cinco especies del género vibrio. Revista Fitotecnia Mexicana. 30(3). 261–267. 9 indexed citations
11.
Goodman, M. M. & Suketoshi Taba. (2007). Global strategy for the Ex situ conservation and utilization of maize germplasm. 9 indexed citations
12.
Franco, Jorge, José Crossa, Marilyn L. Warburton, & Suketoshi Taba. (2006). Sampling Strategies for Conserving Maize Diversity When Forming Core Subsets Using Genetic Markers. Crop Science. 46(2). 854–864. 85 indexed citations
13.
Franco, Jorge, José Crossa, Suketoshi Taba, & H. L. Shands. (2005). A Sampling Strategy for Conserving Genetic Diversity when Forming Core Subsets. Crop Science. 45(3). 1035–1044. 89 indexed citations
14.
Taba, Suketoshi, et al.. (2004). Caracterización de accesiones de maíz por calidad de granoy tortilla. Revista Fitotecnia Mexicana. 27(3). 213–222. 19 indexed citations
15.
Mendoza, José Luis Zambrano, et al.. (2004). La colección núcleo de los recursos genéticos de maíces de altura ecuatorianos. 2 indexed citations
16.
Franco, Jorge, José Crossa, Suketoshi Taba, & S. A. Eberhart. (2002). The Modified Location Model for Classifying Genetic Resources. Crop Science. 42(5). 1727–1736. 9 indexed citations
17.
Pardey, Philip G., et al.. (2001). Costing the Conservation of Genetic Resources: CIMMYT's Ex Situ Maize and Wheat Collection. Crop Science. 41(4). 1286–1299. 34 indexed citations
18.
Franco, Jorge, et al.. (1999). A Two‐Stage, Three‐Way Method for Classifying Genetic Resources in multiple Environments. Crop Science. 39(1). 259–267. 21 indexed citations
19.
Franco, Jorge, José Crossa, José A. Villaseñor Alva, Suketoshi Taba, & S. A. Eberhart. (1998). Classifying Genetic Resources by Categorical and Continuous Variables. Crop Science. 38(6). 1688–1696. 95 indexed citations
20.
Crossa, José, K. E. Basford, Suketoshi Taba, I. H. DeLacy, & E.R.C. da Silva. (1995). Three‐Mode Analyses of Maize Using Morphological and Agronomic Attributes Measured in Multilocational Trials. Crop Science. 35(5). 1483–1491. 22 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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