María E. Otegui

7.8k total citations · 1 hit paper
106 papers, 6.0k citations indexed

About

María E. Otegui is a scholar working on Plant Science, Agronomy and Crop Science and Genetics. According to data from OpenAlex, María E. Otegui has authored 106 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Plant Science, 89 papers in Agronomy and Crop Science and 15 papers in Genetics. Recurrent topics in María E. Otegui's work include Crop Yield and Soil Fertility (85 papers), Genetics and Plant Breeding (67 papers) and Bioenergy crop production and management (21 papers). María E. Otegui is often cited by papers focused on Crop Yield and Soil Fertility (85 papers), Genetics and Plant Breeding (67 papers) and Bioenergy crop production and management (21 papers). María E. Otegui collaborates with scholars based in Argentina, United States and Spain. María E. Otegui's co-authors include Lucas Borrás, G.Á. Maddonni, Alfredo G. Cirilo, Gustavo A. Slafer, Juan I. Rattalino Edreira, Karina E. D’Andrea, Fernando H. Andrade, Jorgelina Cárcova, Brenda L. Gambín and Raymond Bonhomme and has published in prestigious journals such as PLANT PHYSIOLOGY, Philosophical Transactions of the Royal Society B Biological Sciences and The Plant Journal.

In The Last Decade

María E. Otegui

102 papers receiving 5.6k 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.

Seed dry weight response to source–sink manipulations in wheat, maize and soybean: a quantitative reappraisal

2003 666 citations María E. Otegui et al. Field Crops Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
María E. Otegui Argentina	42	5.4k	4.4k	584	579	576	106	6.0k
Daniel J. Miralles Argentina	44	5.4k 1.0×	3.4k 0.8×	469 0.8×	426 0.7×	509 0.9×	130	5.9k
Daniel F. Calderini Chile	37	4.3k 0.8×	2.8k 0.6×	477 0.8×	472 0.8×	430 0.7×	78	4.8k
J. Foulkes United Kingdom	47	6.8k 1.3×	4.1k 0.9×	902 1.5×	440 0.8×	799 1.4×	124	7.6k
Erik van Oosterom Australia	41	3.7k 0.7×	2.1k 0.5×	503 0.9×	593 1.0×	1.1k 1.8×	94	4.5k
M. Tollenaar Canada	51	6.7k 1.3×	5.5k 1.2×	1.1k 1.9×	493 0.9×	740 1.3×	116	7.8k
Fanjun Chen China	47	4.8k 0.9×	2.2k 0.5×	844 1.4×	329 0.6×	535 0.9×	143	5.4k
Jacques Le Gouis France	41	5.5k 1.0×	2.5k 0.6×	568 1.0×	198 0.3×	1.3k 2.2×	84	5.9k
Andrew Borrell Australia	33	3.5k 0.7×	1.8k 0.4×	386 0.7×	240 0.4×	945 1.6×	83	4.0k
M. Fernanda Dreccer Australia	29	3.1k 0.6×	1.5k 0.3×	331 0.6×	561 1.0×	342 0.6×	53	3.5k
M. J. Gooding United Kingdom	37	3.5k 0.7×	2.3k 0.5×	509 0.9×	308 0.5×	218 0.4×	126	3.9k

Countries citing papers authored by María E. Otegui

Since Specialization

Citations

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

Fields of papers citing papers by María E. Otegui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María E. Otegui. 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 María E. Otegui. The network helps show where María E. Otegui may publish in the future.

Co-authorship network of co-authors of María E. Otegui

This figure shows the co-authorship network connecting the top 25 collaborators of María E. Otegui. A scholar is included among the top collaborators of María E. Otegui 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 María E. Otegui. María E. Otegui 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

Otegui, María E., et al.. (2025). Enhancing water use efficiency in wheat: 40 Years of genetic gains in the Argentine Pampas. European Journal of Agronomy. 168. 127620–127620.

Otegui, María E., et al.. (2025). Low‐input, interpretable models to forecast maize yield at multiple scales based on absorbed radiation. Agronomy Journal. 117(3).

Prado, Santiago Alvarez, María E. Otegui, Monika Kavanová, et al.. (2024). CRONOSOJA: a daily time-step hierarchical model predicting soybean development across maturity groups in the Southern Cone. 6(1). 3 indexed citations

Carcedo, Ana Julia Paula, et al.. (2023). Enhancing maize grain dry-down predictive models. Agricultural and Forest Meteorology. 334. 109427–109427. 10 indexed citations

D’Andrea, Karina E., Jorge L. Mercau, Edmundo L. Ploschuk, et al.. (2023). Eco‐physiology of maize crops under combined stresses. The Plant Journal. 117(6). 1856–1872. 4 indexed citations

Otegui, María E., et al.. (2022). OSTRICH-CROPGRO multi-objective optimization methodology for calibration of the growing dynamics of a second-generation transgenic soybean tolerant to high temperatures and dry growing conditions. Agricultural Systems. 205. 103583–103583. 1 indexed citations

González, Fernanda G., et al.. (2021). Ability of in situ canopy spectroscopy to differentiate genotype by environment interaction in wheat. International Journal of Remote Sensing. 42(10). 3660–3680. 3 indexed citations

D’Andrea, Karina E., et al.. (2021). Kernel weight responses to the photothermal environment in maize dent × flint and flint × flint hybrids. Crop Science. 61(3). 1996–2011. 6 indexed citations

Otegui, María E. & Jorge L. Mercau. (2021). Fecha de siembra y rendimiento de maíz en ambientes con provisión hídrica contrastante de la región central de Argentina. El Servicio de Difusión de la Creación Intelectual (National University of La Plata).

10.

Hefley, Trevor J., et al.. (2021). A practical guide to estimating the light extinction coefficient with nonlinear models—a case study on maize. Plant Methods. 17(1). 60–60. 19 indexed citations

11.

Otegui, María E., et al.. (2021). Wheat yield progress and stability during the last five decades in Argentina. Field Crops Research. 269. 108183–108183. 18 indexed citations

12.

Ribichich, Karina F., Mariana V. Chiozza, Julieta V. Cabello, et al.. (2020). Successful field performance in warm and dry environments of soybean expressing the sunflower transcription factor HB4. Journal of Experimental Botany. 71(10). 3142–3156. 52 indexed citations

13.

Otegui, María E., et al.. (2020). Heterosis and parent–progeny relationships for silk extrusion dynamics and kernel number determination in maize: Nitrogen effects. Crop Science. 60(2). 961–976. 11 indexed citations

14.

González, Fernanda G., Patricia V. Miranda, Karina F. Ribichich, et al.. (2020). An Interdisciplinary Approach to Study the Performance of Second-generation Genetically Modified Crops in Field Trials: A Case Study With Soybean and Wheat Carrying the Sunflower HaHB4 Transcription Factor. Frontiers in Plant Science. 11. 178–178. 25 indexed citations

15.

González, Fernanda G., Matías Capella, Karina F. Ribichich, et al.. (2019). Field-grown transgenic wheat expressing the sunflower geneHaHB4significantly outyields the wild type. Journal of Experimental Botany. 70(5). 1669–1681. 77 indexed citations

16.

D’Andrea, Karina E., et al.. (2018). Maize Nitrogen Use Efficiency: QTL Mapping in a U.S. Dent x Argentine-Caribbean Flint RILs population. Maydica. 63(1). 17. 10 indexed citations

17.

Moreno, Javier E., et al.. (2017). A role for LAX2 in regulating xylem development and lateral-vein symmetry in the leaf. Annals of Botany. 120(4). 577–590. 34 indexed citations

18.

Oneto, Cecilia Andrea Décima, et al.. (2016). Water deficit stress tolerance in maize conferred by expression of an isopentenyltransferase (IPT) gene driven by a stress- and maturation-induced promoter. Journal of Biotechnology. 220. 66–77. 53 indexed citations

19.

Edreira, Juan I. Rattalino, et al.. (2014). Heat stress in temperate and tropical maize hybrids: Kernel growth, water relations and assimilate availability for grain filling. Field Crops Research. 166. 162–172. 73 indexed citations

20.

Haro, Ricardo, Anita I. Mantese, & María E. Otegui. (2011). Peg viability and pod set in peanut: Response to impaired pegging and water deficit. Flora. 206(10). 865–871. 9 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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