Laércio Junio da Silva

1.3k total citations
82 papers, 780 citations indexed

About

Laércio Junio da Silva is a scholar working on Plant Science, Soil Science and Food Science. According to data from OpenAlex, Laércio Junio da Silva has authored 82 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Plant Science, 10 papers in Soil Science and 10 papers in Food Science. Recurrent topics in Laércio Junio da Silva's work include Seed Germination and Physiology (59 papers), Growth and nutrition in plants (30 papers) and Soybean genetics and cultivation (19 papers). Laércio Junio da Silva is often cited by papers focused on Seed Germination and Physiology (59 papers), Growth and nutrition in plants (30 papers) and Soybean genetics and cultivation (19 papers). Laércio Junio da Silva collaborates with scholars based in Brazil, Mexico and United States. Laércio Junio da Silva's co-authors include André Dantas de Medeiros, Denise Cunha Fernandes dos Santos Dias, Denise Cunha Fernandes dos Santos Dias, Daniel Teixeira Pinheiro, Clíssia Barboza da Silva, Márcio Dias Pereira, Luíz Antônio dos Santos Dias, Eduardo Euclydes de Lima e Borges, Rodrigo Cupertino Bernardes and Williams Pinto Marques Ferreira and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Food Chemistry.

In The Last Decade

Laércio Junio da Silva

75 papers receiving 767 citations

Peers

Laércio Junio da Silva

Basharat Ali Saleem Pakistan

André Dantas de Medeiros Brazil

Denise Cunha Fernandes dos Santos Dias Brazil

Francisco Guilhien Gomes Brazil

Denise Cunha Fernandes dos Santos Dias Brazil

Mahdiyeh Gholami Iran

Giancarlo Pagnani Italy

Moslem Abdipour Iran

Syed Tanveer Shah Pakistan

Marian Burducea Romania

Basharat Ali Saleem Pakistan

Laércio Junio da Silva

974 ×1.5

163 ×1.3

90 ×1.0

64 ×0.8

57 ×0.8

Citations per year, relative to Laércio Junio da Silva Laércio Junio da Silva (= 1×) peers Basharat Ali Saleem

Countries citing papers authored by Laércio Junio da Silva

Since Specialization

Citations

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

Fields of papers citing papers by Laércio Junio da Silva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laércio Junio da Silva. 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 Laércio Junio da Silva. The network helps show where Laércio Junio da Silva may publish in the future.

Co-authorship network of co-authors of Laércio Junio da Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Laércio Junio da Silva. A scholar is included among the top collaborators of Laércio Junio da Silva 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 Laércio Junio da Silva. Laércio Junio da Silva 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

Dias, Denise Cunha Fernandes dos Santos, et al.. (2024). Near-infrared spectroscopy and accelerated ageing in evaluating the vigour of lentil seeds. Ciência Agronômica/Revista ciência agronômica. 56. 1–11.

Viana, José Marcelo Soriano, et al.. (2024). Uni- and Multivariate Analyses for the Characterization of Popcorn Inbred Lines for Drought Tolerance at Seedling and Vegetative Stages. Agronomy. 14(11). 2513–2513.

Dias, Denise Cunha Fernandes dos Santos, et al.. (2023). Classification of lentil seed vigor based on seedling image analysis techniques and interactive machine learning. Journal of Seed Science. 45. 1 indexed citations

Araújo, Eduardo Fontes, et al.. (2023). Effect of drying conditions on physiological quality of cowpea seeds of the cultivar brs-tumucumaque. Revista Caatinga. 36(2). 262–270.

Roque, Jussara V., et al.. (2023). Near infrared spectroscopy for the classification of vigor level of soybean seed. Ciência Agronômica/Revista ciência agronômica. 55. 3 indexed citations

Pinheiro, Daniel Teixeira, et al.. (2022). Oxidative stress, protein metabolism, and physiological potential of soybean seeds under weathering deterioration in the pre-harvest phase. Acta Scientiarum Agronomy. 45. e56910–e56910. 5 indexed citations

Dias, Denise Cunha Fernandes dos Santos, et al.. (2022). Nitric oxide in physiological potential and biochemical mechanisms of pea seeds under water deficit. Journal of Seed Science. 44. 3 indexed citations

Medeiros, André Dantas de, et al.. (2022). Low-cost system for multispectral image acquisition and its applicability to analysis of the physiological potential of soybean seeds. Acta Scientiarum Agronomy. 45. e57060–e57060. 5 indexed citations

Medeiros, André Dantas de, et al.. (2022). SARS software for analysis of radiographic images of Urochloa decumbens (Stapf) RD Webster seeds. Journal of Seed Science. 44. 1 indexed citations

10.

Rocha, João Romero do Amaral Santos de Carvalho, et al.. (2022). Multi-trait selection of tomato introgression lines under drought-induced conditions at germination and seedling stages. Acta Scientiarum Agronomy. 44. e55876–e55876. 2 indexed citations

11.

Bernardes, Rodrigo Cupertino, André Dantas de Medeiros, Laércio Junio da Silva, et al.. (2022). Deep-Learning Approach for Fusarium Head Blight Detection in Wheat Seeds Using Low-Cost Imaging Technology. Agriculture. 12(11). 1801–1801. 20 indexed citations

12.

Dias, Denise Cunha Fernandes dos Santos, et al.. (2022). Antioxidant and physiological responses of seeds of soybean cultivars to delayed harvest. Semina Ciências Agrárias. 43(2). 1127–1144. 1 indexed citations

13.

Silva, Laércio Junio da, et al.. (2021). Uncovering tomato candidate genes for seed germination performance and seedling vigour using the Solanum pennellii introgression line population. Scientia Horticulturae. 284. 110134–110134. 4 indexed citations

14.

Medeiros, André Dantas de, et al.. (2021). Deep learning-based approach using X-ray images for classifying Crambe abyssinica seed quality. Industrial Crops and Products. 164. 113378–113378. 35 indexed citations

15.

Dias, Denise Cunha Fernandes dos Santos, et al.. (2021). Action of nitric oxide on the physiological potential and biochemical mechanisms of pea seeds. Journal of Seed Science. 43. 2 indexed citations

16.

Medeiros, André Dantas de, et al.. (2021). Physical integrity of endive and chicory seeds determined by automated analysis of radiographic images. Revista Brasileira de Ciências Agrárias - Brazilian Journal of Agricultural Sciences. 16(4). 1–7.

17.

Medeiros, André Dantas de, et al.. (2020). Interactive machine learning for soybean seed and seedling quality classification. Scientific Reports. 10(1). 11267–11267. 83 indexed citations

18.

Dias, Denise Cunha Fernandes dos Santos, et al.. (2020). Chickpea seed vigor evaluated by computerized seedling analysis. Semina Ciências Agrárias. 42(1). 71–86. 3 indexed citations

19.

Silva, Laércio Junio da, et al.. (2017). Strategy for selection of soybean genotypes tolerant to drought during germination. Genetics and Molecular Research. 16(2). 8 indexed citations

20.

Silva, Laércio Junio da, et al.. (2014). Nodulation and growth of soybean plants as a function of coating the seeds with phosphorous. SHILAP Revista de lepidopterología. 3 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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