José L. Rotundo

2.0k total citations
56 papers, 1.5k citations indexed

About

José L. Rotundo is a scholar working on Plant Science, Agronomy and Crop Science and Soil Science. According to data from OpenAlex, José L. Rotundo has authored 56 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Plant Science, 24 papers in Agronomy and Crop Science and 8 papers in Soil Science. Recurrent topics in José L. Rotundo's work include Soybean genetics and cultivation (34 papers), Legume Nitrogen Fixing Symbiosis (27 papers) and Crop Yield and Soil Fertility (18 papers). José L. Rotundo is often cited by papers focused on Soybean genetics and cultivation (34 papers), Legume Nitrogen Fixing Symbiosis (27 papers) and Crop Yield and Soil Fertility (18 papers). José L. Rotundo collaborates with scholars based in Argentina, United States and Australia. José L. Rotundo's co-authors include Mark E. Westgate, Lucas Borrás, Martı́n R. Aguiar, José A. Gerde, Fernando Salvagiotti, Pablo A. Cipriotti, Carlos D. Messina, Palle Pedersen, Seth L. Naeve and Ignacio A. Ciampitti and has published in prestigious journals such as Scientific Reports, New Phytologist and Journal of Ecology.

In The Last Decade

José L. Rotundo

53 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José L. Rotundo Argentina 23 1.2k 511 207 172 148 56 1.5k
Eric A. Nord United States 16 1.1k 0.9× 399 0.8× 213 1.0× 145 0.8× 140 0.9× 22 1.4k
S.B.M. Chimphango South Africa 20 790 0.6× 250 0.5× 154 0.7× 165 1.0× 199 1.3× 65 1.0k
J. Recasens Spain 21 962 0.8× 318 0.6× 88 0.4× 217 1.3× 128 0.9× 94 1.2k
Eric R. Gallandt United States 24 1.6k 1.2× 819 1.6× 382 1.8× 136 0.8× 131 0.9× 57 1.9k
Marion Prudent France 17 1.1k 0.9× 283 0.6× 172 0.8× 78 0.5× 97 0.7× 28 1.4k
J. Anita Dille United States 22 1.2k 0.9× 536 1.0× 301 1.5× 56 0.3× 115 0.8× 60 1.5k
Nathalie Munier‐Jolain France 21 1.3k 1.0× 508 1.0× 143 0.7× 45 0.3× 84 0.6× 33 1.6k
W. Thomas Lanını United States 19 786 0.6× 294 0.6× 227 1.1× 72 0.4× 96 0.6× 45 1.0k
B. Orchard Australia 21 572 0.5× 480 0.9× 176 0.9× 58 0.3× 115 0.8× 67 1.2k
Donn G. Shilling United States 19 908 0.7× 226 0.4× 83 0.4× 190 1.1× 138 0.9× 77 1.1k

Countries citing papers authored by José L. Rotundo

Since Specialization
Citations

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

Fields of papers citing papers by José L. Rotundo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José L. Rotundo

This figure shows the co-authorship network connecting the top 25 collaborators of José L. Rotundo. A scholar is included among the top collaborators of José L. Rotundo 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 José L. Rotundo. José L. Rotundo 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
2.
Salinas, Andrea, et al.. (2025). Long-term maize breeding reduced plant-to-plant yield variability, especially in water limited environments. Field Crops Research. 335. 110188–110188.
3.
DeBruin, Jason, et al.. (2025). Crop management practices are more important for modern than past maize genotypes. Field Crops Research. 337. 110257–110257.
4.
Rotundo, José L., et al.. (2025). Breeding progress is a major contributor to improved regional maize water productivity. Scientific Reports. 15(1). 13765–13765. 3 indexed citations
5.
Rotundo, José L., et al.. (2024). Lodging dynamics and seed yield for two soybean genotypes with contrasting lodging-susceptibility. European Journal of Agronomy. 163. 127445–127445. 3 indexed citations
6.
Isaac, Marney E., Cyrille Violle, Adam R. Martin, et al.. (2024). Phenotypic limits of crop diversity: a data exploration of functional trait space. New Phytologist. 244(2). 708–718. 1 indexed citations
7.
Rotundo, José L., et al.. (2024). Maize outyielding sorghum under drought conditions helps explain land use changes in the US. Field Crops Research. 308. 109298–109298. 15 indexed citations
8.
McCormick, Ryan F., Sandra K. Truong, José L. Rotundo, et al.. (2021). Intercontinental prediction of soybean phenology via hybrid ensemble of knowledge-based and data-driven models. Data Archiving and Networked Services (DANS). 3(1). 22 indexed citations
9.
Salvagiotti, Fernando, et al.. (2021). Estimating nitrogen, phosphorus, potassium, and sulfur uptake and requirement in soybean. European Journal of Agronomy. 127. 126289–126289. 21 indexed citations
10.
Borrás, Lucas, et al.. (2020). Physiological processes associated with soybean genetic progress in Argentina. Agrosystems Geosciences & Environment. 3(1). 10 indexed citations
11.
Tamagno, Santiago, Javier A. Fernández, P. V. Vara Prasad, et al.. (2020). Physiological Changes Across Historical Sorghum Hybrids Released During the Last Six Decades. Kansas Agricultural Experiment Station Research Reports. 6(5). 3 indexed citations
12.
Tamagno, Santiago, Jose A. Aznar‐Moreno, Timothy P. Durrett, et al.. (2020). Dynamics of oil and fatty acid accumulation during seed development in historical soybean varieties. Field Crops Research. 248. 107719–107719. 21 indexed citations
13.
Rotundo, José L., Tom Tang, & Carlos D. Messina. (2019). Response of maize photosynthesis to high temperature: Implications for modeling the impact of global warming. Plant Physiology and Biochemistry. 141. 202–205. 29 indexed citations
14.
Borrás, Lucas, et al.. (2019). Exploring soybean management options for environments with contrasting water availability. Journal of Agronomy and Crop Science. 205(3). 274–282. 19 indexed citations
15.
Salvagiotti, Fernando, et al.. (2019). Nutritional and environmental effects on biological nitrogen fixation in soybean: A meta-analysis. Field Crops Research. 240. 106–115. 74 indexed citations
16.
Rotundo, José L., et al.. (2016). Regional and Temporal Variation in Soybean Seed Protein and Oil across the United States. Crop Science. 56(2). 797–808. 59 indexed citations
17.
Rotundo, José L. & Mark E. Westgate. (2010). Rate and Duration of Seed Component Accumulation in Water‐Stressed Soybean. Crop Science. 50(2). 676–684. 43 indexed citations
18.
Rotundo, José L., Lucas Borrás, Mark E. Westgate, & J. H. Orf. (2009). Relationship between assimilate supply per seed during seed filling and soybean seed composition. Field Crops Research. 112(1). 90–96. 60 indexed citations
19.
Rotundo, José L. & Mark E. Westgate. (2008). Meta-analysis of environmental effects on soybean seed composition. Field Crops Research. 110(2). 147–156. 219 indexed citations
20.
Rotundo, José L. & Martı́n R. Aguiar. (2004). Vertical seed distribution in the soil constrains regeneration of Bromus pictus in a Patagonian steppe. Journal of Vegetation Science. 15(4). 515–522. 23 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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