J.E.S. Carneiro

679 total citations
52 papers, 479 citations indexed

About

J.E.S. Carneiro is a scholar working on Plant Science, Cell Biology and Agronomy and Crop Science. According to data from OpenAlex, J.E.S. Carneiro has authored 52 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Plant Science, 10 papers in Cell Biology and 7 papers in Agronomy and Crop Science. Recurrent topics in J.E.S. Carneiro's work include Plant pathogens and resistance mechanisms (43 papers), Genetics and Plant Breeding (18 papers) and Plant Pathogenic Bacteria Studies (16 papers). J.E.S. Carneiro is often cited by papers focused on Plant pathogens and resistance mechanisms (43 papers), Genetics and Plant Breeding (18 papers) and Plant Pathogenic Bacteria Studies (16 papers). J.E.S. Carneiro collaborates with scholars based in Brazil, United States and Bolivia. J.E.S. Carneiro's co-authors include Trazilbo J. Paula Júnior, Rogério Faria Vieira, Pedro Crescêncio Souza Carneiro, Eduardo S. G. Mizubuti, Hudson Teixeira, Magno Antônio Patto Ramalho, Â.F.B. Abreu, Paulo Roberto Cecon, Guido Schnabel and Flávia Maria Avelar Gonçalves and has published in prestigious journals such as Crop Science, Agronomy Journal and Plant Disease.

In The Last Decade

J.E.S. Carneiro

49 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J.E.S. Carneiro Brazil	14	467	103	88	28	22	52	479
L.J. Duczek Canada	11	405 0.9×	130 1.3×	71 0.8×	50 1.8×	7 0.3×	33	439
JF Kollmorgen Australia	9	301 0.6×	83 0.8×	52 0.6×	14 0.5×	11 0.5×	19	325
A. P. Grybauskas United States	7	207 0.4×	96 0.9×	26 0.3×	38 1.4×	12 0.5×	14	217
Rita Bán Hungary	9	284 0.6×	73 0.7×	31 0.4×	78 2.8×	17 0.8×	25	330
SM Ali Australia	11	371 0.8×	108 1.0×	29 0.3×	33 1.2×	10 0.5×	15	391
GJ Platz Australia	13	438 0.9×	60 0.6×	86 1.0×	20 0.7×	33 1.5×	19	457
C. Reinbrecht Germany	6	291 0.6×	148 1.4×	25 0.3×	13 0.5×	12 0.5×	13	305
V. Lind Germany	10	335 0.7×	69 0.7×	31 0.4×	31 1.1×	35 1.6×	20	351
Claude Maumené France	10	286 0.6×	92 0.9×	21 0.2×	97 3.5×	14 0.6×	15	310
Felipe Dalla Lana United States	9	255 0.5×	106 1.0×	13 0.1×	27 1.0×	17 0.8×	18	265

Countries citing papers authored by J.E.S. Carneiro

Since Specialization

Citations

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

Fields of papers citing papers by J.E.S. Carneiro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.E.S. Carneiro. 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 J.E.S. Carneiro. The network helps show where J.E.S. Carneiro may publish in the future.

Co-authorship network of co-authors of J.E.S. Carneiro

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Júnior, Trazilbo J. Paula, et al.. (2024). Strategy to identify common beans with resistance to white mould for dry‐irrigated areas: Additional evidence. Journal of Phytopathology. 172(3). 1 indexed citations

Carneiro, Pedro Crescêncio Souza, J.E.S. Carneiro, Elaine Aparecida de Souza, et al.. (2024). Use of Bayesian probabilistic model approach in common bean varietal recommendation. Crop Science. 64(6). 3163–3173. 1 indexed citations

Souza, Elaine Aparecida de, et al.. (2022). Potential parents of carioca bean for use in breeding aiming resistance to Colletotrichum lindemuthianum. Agronomy Journal. 114(4). 2159–2168. 2 indexed citations

Carneiro, J.E.S., et al.. (2019). Management of white mold in common bean using partial resistance and fungicide applications. Crop Protection. 124. 104867–104867. 7 indexed citations

Carneiro, J.E.S., et al.. (2018). Integration of partial resistance, plant density and use of fungicide for management of white mould in common bean. Plant Pathology. 68(3). 481–491. 3 indexed citations

Cruz, Cosme Damião, et al.. (2017). Artificial neural networks as auxiliary tools for the improvement of bean plant architecture. Genetics and Molecular Research. 16(2). 5 indexed citations

Carneiro, J.E.S., et al.. (2016). Genetic potential of segregating populations of red beans conducted by the bulk method with selection. Genetics and Molecular Research. 15(2). 2 indexed citations

Silva, Luzimar Campos da, et al.. (2016). Diallel analysis to choose parents for black bean (Phaseolus vulgaris L.) breeding. Genetics and Molecular Research. 15(3). 4 indexed citations

Teixeira, Hudson, et al.. (2015). Adaptation and Resistance to Diseases in Brazil of Putative Sources of Common Bean Resistance to White Mold. Plant Disease. 99(8). 1098–1103. 12 indexed citations

10.

Carneiro, J.E.S., et al.. (2015). Similar Aggressiveness of Phenotypically and Genotypically Distinct Isolates of Sclerotinia sclerotiorum. Plant Disease. 100(2). 360–366. 15 indexed citations

11.

Carneiro, J.E.S., et al.. (2015). Effect of generations and environments in the analysis of a partial diallel to improve bean earliness. Genetics and Molecular Research. 14(3). 8219–8228. 1 indexed citations

12.

Júnior, Trazilbo J. Paula, et al.. (2014). Sclerotia morphology traits and mycelial growth rate are not informative variables for population studies of Sclerotinia sclerotiorum. Tropical Plant Pathology. 39(6). 471–477. 8 indexed citations

13.

Carneiro, Pedro Crescêncio Souza, et al.. (2013). Genetic improvement of plant architecture in the common bean. Genetics and Molecular Research. 12(AOP). 3093–102. 11 indexed citations

14.

Carneiro, J.E.S., et al.. (2011). 'Ouro Vermelho' : new red bean cultivar for Minas Gerais, Brazil.. Americanae (AECID Library). 2 indexed citations

15.

Júnior, Trazilbo J. Paula, Rogério Faria Vieira, Hudson Teixeira, & J.E.S. Carneiro. (2010). Benefits of management of Sclerotinia sclerotiorum on dry beans.. OpenAgrar. 352–353. 1 indexed citations

16.

Carneiro, Pedro Crescêncio Souza, et al.. (2009). Distinction between plant samples according to allele dosage by semiquantitative polymerase chain reaction. Genetics and Molecular Research. 8(1). 319–327. 3 indexed citations

17.

Carneiro, J.E.S., et al.. (2006). Consórcio entre feijão e Brachiaria brizantha sob doses reduzidas de graminicida. Planta Daninha. 24(1). 71–76. 13 indexed citations

18.

Carneiro, Pedro Crescêncio Souza, et al.. (2005). Factor analysis in the environment stratification for the evaluation of common bean cultivars. Crop Breeding and Applied Biotechnology. 5(2). 166–173. 10 indexed citations

19.

Ramalho, Magno Antônio Patto, et al.. (2001). Consequences of Early Selection for Grain Type in Common Bean Breeding. Crop Breeding and Applied Biotechnology. 1(4). 347–354. 11 indexed citations

20.

Henson, Robert A., P. A. A. Pereira, J.E.S. Carneiro, & F. A. Bliss. (1993). Registration of ‘Ouro Negro’, a High Dinitrogen‐Fixing, High‐Yielding Common Bean. Crop Science. 33(3). 644–644. 4 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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