L. A. Ebron

681 total citations
18 papers, 432 citations indexed

About

L. A. Ebron is a scholar working on Plant Science, Genetics and Cell Biology. According to data from OpenAlex, L. A. Ebron has authored 18 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 14 papers in Genetics and 3 papers in Cell Biology. Recurrent topics in L. A. Ebron's work include Genetic Mapping and Diversity in Plants and Animals (14 papers), Rice Cultivation and Yield Improvement (11 papers) and GABA and Rice Research (9 papers). L. A. Ebron is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (14 papers), Rice Cultivation and Yield Improvement (11 papers) and GABA and Rice Research (9 papers). L. A. Ebron collaborates with scholars based in Philippines, Japan and Vietnam. L. A. Ebron's co-authors include Hiroshi Kato, Tokio Imbe, Hiroshi Tsunematsu, Nobuya Kobayashi, Yoshimichi Fukuta, G. S. Khush, Daisuke Fujita, Nagao Hayashi, Ikuo Ando and Mary Jeanie Telebanco‐Yanoria and has published in prestigious journals such as Theoretical and Applied Genetics, Field Crops Research and Molecular Breeding.

In The Last Decade

L. A. Ebron

18 papers receiving 416 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L. A. Ebron Philippines 11 415 249 95 75 6 18 432
Liexian Zeng China 9 405 1.0× 94 0.4× 110 1.2× 73 1.0× 4 0.7× 12 429
Mary Jeanie Telebanco‐Yanoria Philippines 16 519 1.3× 245 1.0× 176 1.9× 116 1.5× 2 0.3× 25 551
Xiangyang Zheng United States 9 370 0.9× 137 0.6× 85 0.9× 72 1.0× 2 0.3× 14 432
Jahangir Imam India 10 215 0.5× 84 0.3× 122 1.3× 37 0.5× 4 0.7× 13 275
S. K. Prashanthi India 8 332 0.8× 120 0.5× 102 1.1× 28 0.4× 3 0.5× 22 350
Gang Cao China 2 454 1.1× 124 0.5× 199 2.1× 85 1.1× 3 0.5× 3 474
Ling ZhongZhuan China 8 549 1.3× 176 0.7× 241 2.5× 114 1.5× 3 0.5× 12 571
Keming Hu China 9 373 0.9× 56 0.2× 110 1.2× 41 0.5× 6 1.0× 22 408
Nimai Prasad Mandal India 11 397 1.0× 121 0.5× 67 0.7× 31 0.4× 28 4.7× 19 416
Qiyun Yang China 10 294 0.7× 91 0.4× 95 1.0× 59 0.8× 5 0.8× 21 327

Countries citing papers authored by L. A. Ebron

Since Specialization
Citations

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

Fields of papers citing papers by L. A. Ebron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. A. Ebron. 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 L. A. Ebron. The network helps show where L. A. Ebron may publish in the future.

Co-authorship network of co-authors of L. A. Ebron

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

All Works

18 of 18 papers shown
1.
Fukuta, Yoshimichi, Yohei Koide, Nobuya Kobayashi, et al.. (2022). Lines for blast resistance genes with genetic background of Indica Group rice as international differential variety set. Plant Breeding. 141(5). 609–620. 3 indexed citations
2.
Tagle, Analiza G., Daisuke Fujita, L. A. Ebron, et al.. (2015). Characterization of QTL for unique agronomic traits of new-plant-type rice varieties using introgression lines of IR64. The Crop Journal. 4(1). 12–20. 9 indexed citations
3.
Fujita, Daisuke, Analiza G. Tagle, L. A. Ebron, Yoshimichi Fukuta, & Nobuya Kobayashi. (2012). Characterization of near-isogenic lines carrying QTL for high spikelet number with the genetic background of an <i>indica</i> rice variety IR64 (<i>Oryza sativa</i> L.). Breeding Science. 62(1). 18–26. 22 indexed citations
4.
Koide, Yohei, L. A. Ebron, Hiroshi Kato, et al.. (2011). A set of near-isogenic lines for blast resistance genes with an Indica-type rainfed lowland elite rice (Oryza sativa L.) genetic background. Field Crops Research. 123(1). 19–27. 23 indexed citations
5.
6.
Farooq, Muhammad, et al.. (2010). Quantitative Trait Loci Mapping for Leaf Length and Leaf Width in Rice cv. IR64 Derived Lines. Journal of Integrative Plant Biology. 52(6). 578–584. 30 indexed citations
7.
Fujita, Daisuke, L. A. Ebron, Etsuko Araki, et al.. (2010). Fine mapping of a gene for low-tiller number, Ltn, in japonica rice (Oryza sativa L.) variety Aikawa 1. Theoretical and Applied Genetics. 120(6). 1233–1240. 29 indexed citations
8.
Telebanco‐Yanoria, Mary Jeanie, Yohei Koide, Yoshimichi Fukuta, et al.. (2010). A set of near-isogenic lines of Indica-type rice variety CO 39 as differential varieties for blast resistance. Molecular Breeding. 27(3). 357–373. 30 indexed citations
9.
Fujita, Daisuke, L. A. Ebron, Mary Jeanie Telebanco‐Yanoria, et al.. (2010). Characterization of Introgression Lines for Yield-related Traits with Indica-type Rice Variety IR64 Genetic Background. Japan Agricultural Research Quarterly JARQ. 44(3). 277–290. 17 indexed citations
10.
Fujita, Daisuke, L. A. Ebron, N. Kobayashi, & Yoshimichi Fukuta. (2009). Comparison of DNA marker analysis of the blast resistance genes Pib and Pita in IRRI-bred rice varieties with gene estimation by conventional genetic analysis.. 87–94. 1 indexed citations
11.
Fujita, Daisuke, L. A. Ebron, Mary Jeanie Telebanco‐Yanoria, et al.. (2009). Development of introgression lines of an Indica-type rice variety, IR64, for unique agronomic traits and detection of the responsible chromosomal regions. Field Crops Research. 114(2). 244–254. 43 indexed citations
12.
Kobayashi, N., L. A. Ebron, Daisuke Fujita, & Yoshimichi Fukuta. (2009). Identification of blast resistance genes in IRRI-bred rice varieties by segregation analysis based on a differential system.. 69–86. 2 indexed citations
13.
Telebanco‐Yanoria, Mary Jeanie, Tokio Imbe, Hiroshi Kato, et al.. (2008). A Set of Standard Differential Blast Isolates (Magnaporthe grisea (Hebert) Barr.) from the Philippines for Rice (Oryza sativa L.) Resistance. Japan Agricultural Research Quarterly JARQ. 42(1). 23–34. 40 indexed citations
14.
Fukuta, Yoshimichi, L. A. Ebron, & Nobuya Kobayashi. (2007). Genetic and Breeding Analysis of Blast Resistance in Elite Indica-type Rice (Oryza sativa L.) Bred in International Rice Research Institute. Japan Agricultural Research Quarterly JARQ. 41(2). 101–114. 9 indexed citations
15.
Ebron, L. A., Yoshimichi Fukuta, Tokio Imbe, et al.. (2005). Identification of blast resistance genes in elite Indica-type varieties of rice (Oryza sativa L.).. SABRAO Journal of Breeding and Genetics. 37(1). 19–31. 4 indexed citations
16.
Ebron, L. A., Yoshimichi Fukuta, Tokio Imbe, et al.. (2004). Estimation of Genes in Blast Resistance in Elite Indica-type Rice (Oryza sativa L.) Varieties-bred at the International Rice Research Institute. Breeding Science. 54(4). 381–387. 16 indexed citations
17.
Tsunematsu, Hiroshi, L. A. Ebron, Nagao Hayashi, et al.. (2000). Development of monogenic lines of rice for blast resistance.. Breeding Science. 50(3). 229–234. 141 indexed citations
18.
Ebron, L. A., et al.. (1987). Screening for bacterial stalk rot resistance in corn.. Crop protection newsletter. 12(1). 31–32. 1 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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