Priscila Pinto

782 total citations · 1 hit paper
15 papers, 520 citations indexed

About

Priscila Pinto is a scholar working on Agronomy and Crop Science, Forestry and Environmental Chemistry. According to data from OpenAlex, Priscila Pinto has authored 15 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Agronomy and Crop Science, 5 papers in Forestry and 5 papers in Environmental Chemistry. Recurrent topics in Priscila Pinto's work include Bioenergy crop production and management (8 papers), Agronomic Practices and Intercropping Systems (6 papers) and Agroforestry and silvopastoral systems (5 papers). Priscila Pinto is often cited by papers focused on Bioenergy crop production and management (8 papers), Agronomic Practices and Intercropping Systems (6 papers) and Agroforestry and silvopastoral systems (5 papers). Priscila Pinto collaborates with scholars based in United States, Uruguay and Argentina. Priscila Pinto's co-authors include Gervasio Piñeiro, Sebastián Horacio Villarino, Robert B. Jackson, Valentín Picasso, Camilo Bagnato, José M. Paruelo, Pablo Baldassini, Santiago Baeza, David E. Stoltenberg and Gerardo Rubio and has published in prestigious journals such as Science Advances, Plant and Soil and Agriculture Ecosystems & Environment.

In The Last Decade

Priscila Pinto

15 papers receiving 505 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.

Plant rhizodeposition: A key factor for soil organic matter formation in stable fractions

2021 287 citations Sebastián Horacio Villarino, Priscila Pinto et al. Science Advances profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Priscila Pinto United States	10	321	179	172	144	76	15	520
Judith Braun United Kingdom	5	332 1.0×	215 1.2×	75 0.4×	116 0.8×	85 1.1×	7	514
Alison E. King United States	10	475 1.5×	183 1.0×	163 0.9×	115 0.8×	125 1.6×	15	610
P. W. Theobald New Zealand	15	326 1.0×	162 0.9×	114 0.7×	166 1.2×	220 2.9×	25	542
Sutie Xu United States	13	309 1.0×	143 0.8×	85 0.5×	52 0.4×	76 1.0×	29	440
Elena Karlsen‐Ayala United States	4	331 1.0×	175 1.0×	67 0.4×	133 0.9×	54 0.7×	10	427
Xuefeng Zhu China	10	518 1.6×	299 1.7×	128 0.7×	152 1.1×	65 0.9×	17	659
J. C. Lata France	8	285 0.9×	114 0.6×	53 0.3×	239 1.7×	57 0.8×	8	475
Ryan C. Byrnes United States	3	218 0.7×	129 0.7×	66 0.4×	80 0.6×	57 0.8×	3	335

Countries citing papers authored by Priscila Pinto

Since Specialization

Citations

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

Fields of papers citing papers by Priscila Pinto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Priscila Pinto

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

All Works

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15 of 15 papers shown

1.

Gutknecht, Jessica, Andrea Basche, N. A. Brunsell, et al.. (2025). Productivity of intermediate wheatgrass responds more to local soil and climate factors than fertility treatments in the first establishment year. Frontiers in Agronomy. 7. 1 indexed citations

2.

Pinto, Priscila, et al.. (2024). Forage boost or grain blues? Legume choices shape Kernza intermediate wheatgrass dual-purpose crop performance. Field Crops Research. 316. 109522–109522. 3 indexed citations

3.

Pinto, Priscila, Cecilia Casas, Marcela Méndez, et al.. (2024). From plant litter to soil organic matter: a game to understand carbon dynamics. Frontiers in Ecology and the Environment. 22(4). 8 indexed citations

4.

Culman, Steve W., Priscila Pinto, Timothy E. Crews, et al.. (2023). Forage harvest management impacts “Kernza” intermediate wheatgrass productivity across North America. Agronomy Journal. 115(5). 2424–2438. 19 indexed citations

5.

Pinto, Priscila, et al.. (2022). Intercropping legumes and intermediate wheatgrass increases forage yield, nutritive value, and profitability without reducing grain yields. Frontiers in Sustainable Food Systems. 6. 14 indexed citations

6.

Franco, José G., Marisol T. Berti, John H. Grabber, et al.. (2021). Ecological Intensification of Food Production by Integrating Forages. Agronomy. 11(12). 2580–2580. 18 indexed citations

7.

Villarino, Sebastián Horacio, Priscila Pinto, Robert B. Jackson, & Gervasio Piñeiro. (2021). Plant rhizodeposition: A key factor for soil organic matter formation in stable fractions. Science Advances. 7(16). 287 indexed citations breakdown →

8.

Pinto, Priscila, et al.. (2021). Optimal Planting Date of Kernza Intermediate Wheatgrass Intercropped with Red Clover. Agronomy. 11(11). 2227–2227. 11 indexed citations

9.

Pinto, Priscila, et al.. (2021). Variable root:shoot ratios and plant nitrogen concentrations discourage using just aboveground biomass to select legume service crops. Plant and Soil. 463(1-2). 347–358. 19 indexed citations

10.

Pinto, Priscila, et al.. (2021). Post-Harvest Management Practices Impact on Light Penetration and Kernza Intermediate Wheatgrass Yield Components. Agronomy. 11(3). 442–442. 20 indexed citations

11.

Carvalho, Paulo César de Faccio, Jean Víctor Savian, William de Souza Filho, et al.. (2021). LAND-USE INTENSIFICATION TRENDS IN THE RIO DE LA PLATA REGION OF SOUTH AMERICA: TOWARD SPECIALIZATION OR RECOUPLING CROP AND LIVESTOCK PRODUCTION. Frontiers of Agricultural Science and Engineering. 8(1). 97–97. 24 indexed citations

12.

Conti, Georgina, Natalia Pérez Harguindeguy, Guillermo Martínez Pastur, et al.. (2020). Ojos que no ven... ¿Qué podemos hacer para incluir más a la fracción subterránea en estudios de vegetación?. Ecología Austral. 30(2). 175–181. 5 indexed citations

13.

Pinto, Priscila, et al.. (2017). Including cover crops during fallow periods for increasing ecosystem services: Is it possible in croplands of Southern South America?. Agriculture Ecosystems & Environment. 248. 48–57. 67 indexed citations

14.

Baeza, Santiago, Pablo Baldassini, Camilo Bagnato, Priscila Pinto, & José M. Paruelo. (2014). Caracterización del uso/cobertura del suelo en Uruguay a partir de series temporales de imágenes MODIS. 18(2). 95–105. 6 indexed citations

15.

Baeza, Santiago, Pablo Baldassini, Camilo Bagnato, Priscila Pinto, & José M. Paruelo. (2014). Caracterización del uso/cobertura del suelo en Uruguay a partir de series temporales de imágenes MODIS. Agrociencia. 18(2). 95–105. 18 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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