Daniel Rume Casagrande

1.5k total citations
80 papers, 1.0k citations indexed

About

Daniel Rume Casagrande is a scholar working on Agronomy and Crop Science, Soil Science and Forestry. According to data from OpenAlex, Daniel Rume Casagrande has authored 80 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Agronomy and Crop Science, 34 papers in Soil Science and 28 papers in Forestry. Recurrent topics in Daniel Rume Casagrande's work include Ruminant Nutrition and Digestive Physiology (53 papers), Soil Management and Crop Yield (28 papers) and Agroforestry and silvopastoral systems (26 papers). Daniel Rume Casagrande is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (53 papers), Soil Management and Crop Yield (28 papers) and Agroforestry and silvopastoral systems (26 papers). Daniel Rume Casagrande collaborates with scholars based in Brazil, United States and Colombia. Daniel Rume Casagrande's co-authors include Thiago Fernandes Bernardes, Bruno Grossi Costa Homem, Ricardo Andrade Reis, Ana Cláudia Ruggieri, Robert M. Boddey, Márcio André Stefanelli Lara, Bruno José Rodrígues Alves, Carla Luiza da Silva Ávila, Dilermando Miranda da Fonseca and Mateus Pies Gionbelli and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Dairy Science and Agriculture Ecosystems & Environment.

In The Last Decade

Daniel Rume Casagrande

73 papers receiving 995 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Rume Casagrande Brazil 20 743 396 330 237 137 80 1.0k
Ulysses Cecato Brazil 19 847 1.1× 559 1.4× 403 1.2× 441 1.9× 229 1.7× 150 1.3k
Gelson dos Santos Difante Brazil 18 948 1.3× 620 1.6× 610 1.8× 392 1.7× 207 1.5× 172 1.4k
Luciano da Silva Cabral Brazil 20 953 1.3× 279 0.7× 354 1.1× 294 1.2× 318 2.3× 148 1.2k
Luiz Januário Magalhães Aroeira Brazil 15 477 0.6× 206 0.5× 287 0.9× 123 0.5× 122 0.9× 56 651
Racheal H. Bryant New Zealand 16 718 1.0× 134 0.3× 267 0.8× 153 0.6× 125 0.9× 82 981
Alexandre Carneiro Leão de Mello Brazil 18 562 0.8× 432 1.1× 445 1.3× 405 1.7× 87 0.6× 119 1.1k
Fernanda Helena Martins Chizzotti Brazil 15 632 0.9× 162 0.4× 270 0.8× 108 0.5× 186 1.4× 38 835
Rasmo García Brazil 22 1.0k 1.4× 529 1.3× 561 1.7× 409 1.7× 253 1.8× 119 1.5k
Denise Baptaglin Montagner Brazil 19 678 0.9× 623 1.6× 525 1.6× 309 1.3× 67 0.5× 76 1.0k
A. de F. Pedroso Brazil 14 432 0.6× 187 0.5× 225 0.7× 165 0.7× 183 1.3× 40 696

Countries citing papers authored by Daniel Rume Casagrande

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Rume Casagrande

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Rume Casagrande. 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 Daniel Rume Casagrande. The network helps show where Daniel Rume Casagrande may publish in the future.

Co-authorship network of co-authors of Daniel Rume Casagrande

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Rume Casagrande. A scholar is included among the top collaborators of Daniel Rume Casagrande 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 Daniel Rume Casagrande. Daniel Rume Casagrande 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
1.
Duarte, Márcio de Souza, et al.. (2024). Pregnancy affects maternal performance, feed intake, and digestion kinetics parameters in beef heifers. Journal of Animal Science. 103. 3 indexed citations
2.
Casagrande, Daniel Rume, Tathyane Ramalho Santos Gionbelli, Márcio Machado Ladeira, et al.. (2024). Maternal protein supplementation during mid-gestation improves offspring performance and metabolism in beef cows. Journal of Animal Science. 102. 11 indexed citations
3.
Homem, Bruno Grossi Costa, et al.. (2024). Carbohydrates and protein digestive traits in beef cattle grazing fertilised or mixed tropical pasture. Archives of Animal Nutrition. 78(1). 60–77. 1 indexed citations
4.
Bernardes, Thiago Fernandes, et al.. (2024). Performance, feeding behavior, and fecal characteristics of Nellore bulls fed snaplage in finishing diets. Revista Brasileira de Zootecnia. 53.
5.
6.
Souza, Stefânia P. de, et al.. (2022). Effects of Maternal Protein Supplementation at Mid-Gestation of Cows on Intake, Digestibility, and Feeding Behavior of the Offspring. Animals. 12(20). 2865–2865. 14 indexed citations
7.
8.
Homem, Bruno Grossi Costa, et al.. (2021). N-fertiliser application or legume integration enhances N cycling in tropical pastures. Nutrient Cycling in Agroecosystems. 121(2-3). 167–190. 17 indexed citations
9.
Bernardes, Thiago Fernandes, et al.. (2021). Feed-out rate used as a tool to manage the aerobic deterioration of corn silages in tropical and temperate climates. Journal of Dairy Science. 104(10). 10828–10840. 5 indexed citations
10.
11.
Homem, Bruno Grossi Costa, et al.. (2021). Nitrogen cycling in tropical grass-legume pastures managed under canopy light interception. Nutrient Cycling in Agroecosystems. 121(1). 51–67. 11 indexed citations
12.
Homem, Bruno Grossi Costa, et al.. (2020). Managing “Marandu” palisadegrass and calopo pastures based on light interception. Grass and Forage Science. 75(4). 447–461. 8 indexed citations
13.
Ruggieri, Ana Cláudia, Abmael da Silva Cardoso, Daniel Rume Casagrande, et al.. (2020). Grazing Intensity Impacts on Herbage Mass, Sward Structure, Greenhouse Gas Emissions, and Animal Performance: Analysis of Brachiaria Pastureland. Agronomy. 10(11). 1750–1750. 40 indexed citations
14.
Homem, Bruno Grossi Costa, et al.. (2020). Defoliation frequency affects litter responses and nitrogen excretion by heifers in palisadegrass–forage peanut pastures. Agronomy Journal. 112(4). 3089–3100. 7 indexed citations
15.
Casagrande, Daniel Rume, et al.. (2018). Total mixed ration silage containing elephant grass for small‐scale dairy farms. Grass and Forage Science. 73(3). 717–726. 28 indexed citations
16.
Santos, Manoel Eduardo Rozalino, et al.. (2011). ESTRUTURA E VALOR NUTRITIVO DO PASTO DIFERIDO DE BRACHIARIA DECUMBENS CV. BASILISK DURANTE O PERÍODO DE PASTEJO. Revista Brasileira de Agropecuária Sustentável. 1(1). 4 indexed citations
17.
Reis, Ricardo Andrade, et al.. (2011). Desempenho de novilhas em pastejo durante a fase de terminação em função da suplementação protéica energética. Ciência e Agrotecnologia. 35(3).
18.
Santos, Manoel Eduardo Rozalino, et al.. (2008). Valor nutritivo da forragem e de seus componentes morfológicos em pastagens de Brachiaria decumbens diferida. SHILAP Revista de lepidopterología. 65(4). 303–311. 21 indexed citations
19.
Casagrande, Daniel Rume. (2007). Características morfogênicas do dossel de Brachiaria brizantha (Hochst ex. A. Rich.) cv. Marandu manejada com diferentes ofertas de forragem sob lotação intermitente. Acervo Digital da Universidade Estadual Paulista (Universidade Estadual Paulista). 1 indexed citations
20.
Fagundes, Jaílson Lara, et al.. (2005). Índice de área foliar, densidade de perfilhos e acúmulo de forragem em pastagem de capim-braquiária adubada com nitrogênio. SHILAP Revista de lepidopterología. 62(2). 125–133. 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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