Edilberto D. Redoña

4.8k total citations · 1 hit paper
39 papers, 2.5k citations indexed

About

Edilberto D. Redoña is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Edilberto D. Redoña has authored 39 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Plant Science, 26 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in Edilberto D. Redoña's work include Rice Cultivation and Yield Improvement (26 papers), Genetic Mapping and Diversity in Plants and Animals (25 papers) and GABA and Rice Research (10 papers). Edilberto D. Redoña is often cited by papers focused on Rice Cultivation and Yield Improvement (26 papers), Genetic Mapping and Diversity in Plants and Animals (25 papers) and GABA and Rice Research (10 papers). Edilberto D. Redoña collaborates with scholars based in United States, Philippines and Japan. Edilberto D. Redoña's co-authors include D. J. Mackill, Susan R. McCouch, Jean‐Luc Jannink, B. C. Y. Collard, Glenn B. Gregorio, K. Raja Reddy, Hasina Begum, G. N. Atlin, Deniz Akdemir and Jennifer Spindel and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Edilberto D. Redoña

39 papers receiving 2.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Genomic Selection and Association Mapping in Rice (Oryza sativa): Effect of Trait Genetic Architecture, Training Population Composition, Marker Number and Statistical Model on Accuracy of Rice Genomic Selection in Elite, Tropical Rice Breeding Lines

2015 386 citations B. C. Y. Collard, Edilberto D. Redoña et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Edilberto D. Redoña United States	23	2.3k	1.4k	304	133	119	39	2.5k
Hanwei Mei China	28	2.8k 1.2×	1.8k 1.2×	435 1.4×	175 1.3×	56 0.5×	62	3.0k
Pawan L. Kulwal India	20	2.1k 0.9×	974 0.7×	249 0.8×	297 2.2×	97 0.8×	42	2.3k
Mathias Lorieux France	32	2.6k 1.1×	1.3k 0.9×	530 1.7×	133 1.0×	121 1.0×	66	2.9k
Manish Roorkiwal India	29	3.4k 1.5×	1.2k 0.8×	492 1.6×	253 1.9×	234 2.0×	69	3.7k
Jeppe Reitan Andersen Denmark	20	1.3k 0.6×	677 0.5×	314 1.0×	214 1.6×	125 1.1×	32	1.5k
Prashant Vikram India	26	2.3k 1.0×	1.2k 0.9×	168 0.6×	231 1.7×	50 0.4×	50	2.5k
M. Cinta Romay United States	22	2.0k 0.8×	1.5k 1.0×	509 1.7×	219 1.6×	53 0.4×	52	2.3k
Jinping Hua China	29	2.3k 1.0×	1.2k 0.9×	735 2.4×	110 0.8×	73 0.6×	74	2.7k
Ahmed Jahoor Denmark	33	3.4k 1.5×	1.2k 0.8×	586 1.9×	237 1.8×	122 1.0×	99	3.6k
Mark Sawkins Mexico	16	1.4k 0.6×	761 0.5×	321 1.1×	275 2.1×	171 1.4×	21	1.6k

Countries citing papers authored by Edilberto D. Redoña

Since Specialization

Citations

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

Fields of papers citing papers by Edilberto D. Redoña

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edilberto D. Redoña. 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 Edilberto D. Redoña. The network helps show where Edilberto D. Redoña may publish in the future.

Co-authorship network of co-authors of Edilberto D. Redoña

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

All Works

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20 of 20 papers shown

Sah, Saroj Kumar, et al.. (2022). Genetic Variability Assessment of Tropical Indica Rice (Oryza sativa L.) Seedlings for Drought Stress Tolerance. Plants. 11(18). 2332–2332. 4 indexed citations

Bheemanahalli, Raju, et al.. (2021). Assessment of agro-morphological, physiological and yield traits diversity among tropical rice. PeerJ. 9. e11752–e11752. 9 indexed citations

Meng, Xiaoxi, Hana Mujahid, Yadong Zhang, et al.. (2019). Comprehensive Analysis of the Lysine Succinylome and Protein Co-modifications in Developing Rice Seeds. Molecular & Cellular Proteomics. 18(12). 2359–2372. 27 indexed citations

Redoña, Edilberto D., et al.. (2019). Evaluating rice for salinity using pot-culture provides a systematic tolerance assessment at the seedling stage. Rice. 12(1). 57–57. 81 indexed citations

Begum, Hamida, Devrim Akdemir, B. C. Y. Collard, et al.. (2016). Genome-wide prediction models that incorporate de novo GWAS are a powerful new tool for tropical rice improvement. Heredity. 116(4). 395–408. 248 indexed citations

Li, Tao, Jauhar Ali, Manuel Marcaida, et al.. (2016). Combining Limited Multiple Environment Trials Data with Crop Modeling to Identify Widely Adaptable Rice Varieties. PLoS ONE. 11(10). e0164456–e0164456. 20 indexed citations

Singh, Bhupinder, K. Raja Reddy, Edilberto D. Redoña, & Timothy W. Walker. (2016). Developing a Screening Tool for Osmotic Stress Tolerance Classification of Rice Cultivars Based on In Vitro Seed Germination. Crop Science. 57(1). 387–394. 20 indexed citations

Redoña, Edilberto D., et al.. (2015). Genetic analysis for heat tolerance and early morning flowering traits at flowering stage in rice (Oryza sativa L.).. Crop protection newsletter. 40(3). 62–72. 5 indexed citations

Ye, Changrong, et al.. (2015). Identifying and confirming quantitative trait loci associated with heat tolerance at flowering stage in different rice populations. BMC Genetics. 16(1). 41–41. 103 indexed citations

10.

Ye, Changrong, et al.. (2015). Fine-mapping and validating qHTSF4.1 to increase spikelet fertility under heat stress at flowering in rice. Theoretical and Applied Genetics. 128(8). 1507–1517. 49 indexed citations

11.

Tenorio, Fatima A., et al.. (2013). Screening rice genetic resources for heat tolerance.. SABRAO Journal of Breeding and Genetics. 45(3). 371–381. 44 indexed citations

12.

Bandillo, Nonoy, Chitra Raghavan, Christine Jade Dilla-Ermita, et al.. (2013). Multi-parent advanced generation inter-cross (MAGIC) populations in rice: progress and potential for genetics research and breeding. Rice. 6(1). 11–11. 265 indexed citations

13.

Ye, Changrong, Edilberto D. Redoña, Youngjun Mo, et al.. (2011). Mapping QTL for heat tolerance at flowering stage in rice using SNP markers. Plant Breeding. 131(1). 33–41. 144 indexed citations

14.

Fukai, S., Ian D. Godwin, Hee‐Jong Koh, et al.. (2010). A QTL controlling low temperature induced spikelet sterility at booting stage in rice. Euphytica. 176(3). 291–301. 41 indexed citations

15.

Cruz, Casiana Vera, et al.. (2008). Development of bacterial blight resistant Mestizo hybrid maintainer and restorer lines through marker-aided backcrossing. SHILAP Revista de lepidopterología. 1–21. 1 indexed citations

16.

Hernandez, Jose E., et al.. (2005). Genetic variance and breeding potential of restorer lines in Philippine rice (Oryza sativa L.) germplasm.. SABRAO Journal of Breeding and Genetics. 37(2). 159–169. 1 indexed citations

17.

Redoña, Edilberto D.. (2004). Rice biotechnology for developing countries in Asia. eCommons (Cornell University). 201–232. 11 indexed citations

18.

Virmani, S. S., et al.. (2002). Genetic diversity in the parental lines and heterosis of the tropical rice hybrids. Euphytica. 127(1). 139–148. 34 indexed citations

19.

Mackill, D. J., et al.. (1996). Level of polymorphism and genetic mapping of AFLP markers in rice. Genome. 39(5). 969–977. 196 indexed citations

20.

Redoña, Edilberto D. & D. J. Mackill. (1996). Mapping quantitative trait loci for seedling vigor in rice using RFLPs. Theoretical and Applied Genetics. 92-92(3-4). 395–402. 140 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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