Ivan Schuster

2.2k total citations
124 papers, 1.6k citations indexed

About

Ivan Schuster is a scholar working on Plant Science, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, Ivan Schuster has authored 124 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Plant Science, 25 papers in Agronomy and Crop Science and 19 papers in Molecular Biology. Recurrent topics in Ivan Schuster's work include Soybean genetics and cultivation (38 papers), Genetics and Plant Breeding (35 papers) and Crop Yield and Soil Fertility (23 papers). Ivan Schuster is often cited by papers focused on Soybean genetics and cultivation (38 papers), Genetics and Plant Breeding (35 papers) and Crop Yield and Soil Fertility (23 papers). Ivan Schuster collaborates with scholars based in Brazil, United States and Chile. Ivan Schuster's co-authors include Carlos Alberto Scapim, Eliane Cristina Gruszka Vendruscolo, Celso Jamil Marur, Luiz Gonzaga Esteves Vieira, Hugo Bruno Correa Molinari, Marcos Pileggi, Everaldo Gonçalves de Barros, Maurílio Alves Moreira, Elisa Serra Negra Vieira and Freddy Mora and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Ivan Schuster

117 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
Ivan Schuster Brazil 20 1.4k 326 215 176 116 124 1.6k
Jonathan R. Schultheis United States 18 919 0.7× 179 0.5× 109 0.5× 164 0.9× 36 0.3× 113 1.1k
N. Kedar Israel 20 1.4k 1.0× 447 1.4× 125 0.6× 68 0.4× 87 0.8× 67 1.6k
Shailendra Sharma India 20 1.4k 1.0× 362 1.1× 476 2.2× 192 1.1× 18 0.2× 71 1.7k
M. Z. Z. Jahufer New Zealand 16 1.4k 1.0× 289 0.9× 543 2.5× 400 2.3× 24 0.2× 45 1.8k
Shivali Sharma India 23 1.9k 1.4× 277 0.8× 322 1.5× 169 1.0× 16 0.1× 105 2.0k
Augusto Tulmann Neto Brazil 13 993 0.7× 471 1.4× 236 1.1× 47 0.3× 52 0.4× 74 1.2k
Imad A. Eujayl United States 16 1.3k 0.9× 277 0.8× 419 1.9× 80 0.5× 23 0.2× 43 1.5k
Cláudia Fortes Ferreira Brazil 20 1.2k 0.9× 390 1.2× 84 0.4× 36 0.2× 85 0.7× 118 1.4k
José X. Chaparro United States 20 801 0.6× 401 1.2× 98 0.5× 32 0.2× 72 0.6× 85 1.1k
Romesh Kumar Salgotra India 17 1.1k 0.8× 370 1.1× 325 1.5× 69 0.4× 24 0.2× 96 1.4k

Countries citing papers authored by Ivan Schuster

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Schuster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Schuster

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Schuster. A scholar is included among the top collaborators of Ivan Schuster 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 Ivan Schuster. Ivan Schuster 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.
Schuelter, Adílson Ricken, et al.. (2018). Genetic diversity of maize lines for traits related to maturity and yield components. Australian Journal of Crop Science. 12(12). 1820–1828. 1 indexed citations
2.
Vieira, Elisa Serra Negra, et al.. (2017). Research Article High molecular weight glutenin subunits and the classification used in Brazilian wheat industry.. Genetics and Molecular Research. 16(3). 3 indexed citations
3.
Schuelter, Adílson Ricken, et al.. (2017). Association mapping and genetic control for northern leaf blight (Exserohilum turcicum) resistance in maize lines. Australian Journal of Crop Science. 11(10). 1346–1353. 8 indexed citations
4.
Gonçalves‐Vidigal, Maria Celeste, Adílson Ricken Schuelter, Ivan Schuster, et al.. (2016). Response to water stress in transgenic (p5cs gene) wheat plants (Triticum aestivum L.). Australian Journal of Crop Science. 10(6). 776–783. 11 indexed citations
5.
Marchioro, Volmir Sérgio, et al.. (2015). CD 154: strong gluten wheat with high yield potential. SHILAP Revista de lepidopterología. 2 indexed citations
6.
Schuster, Ivan, et al.. (2015). Eficiência de eventos transgênicos de resistência a insetos em soja e milho. Revista Cultivando o Saber. 8(2). 76–88. 1 indexed citations
7.
Arriagada, Osvin, Márcia Flores da Silva Ferreira, Gerardo Domingo Lucio Cervigni, et al.. (2015). QTL mapping of soybean cyst nematode race 9: A generalized linear modeling approach. Australian Journal of Crop Science. 9(8). 721–727. 1 indexed citations
8.
Schuster, Ivan, et al.. (2015). Genetic diversity in elite inbred lines of maize and its association with heterosis. Genetics and Molecular Research. 14(2). 6509–6517. 19 indexed citations
9.
Marchioro, Volmir Sérgio, et al.. (2013). CD 151: cultivar de trigo de ampla adaptação. SHILAP Revista de lepidopterología. 1 indexed citations
10.
Marchioro, Volmir Sérgio, et al.. (2013). CD 121 - cultivar with flour characteristics for cookie baking. SHILAP Revista de lepidopterología. 1 indexed citations
11.
Gramacho, Karina Peres, Ivan Schuster, Xavier Sabau, et al.. (2012). Transcriptomics and systems biology analysis in identification of specific pathways involved in cacao resistance and susceptibility to witches' broom disease. Molecular BioSystems. 8(5). 1507–1519. 19 indexed citations
12.
Marchioro, Volmir Sérgio, et al.. (2010). CD 119: a wheat cultivar for cold subtropical regions.. Crop Breeding and Applied Biotechnology. 10(2). 173–175. 3 indexed citations
13.
Vieira, Elisa Serra Negra, et al.. (2010). Construction of a molecular database for soybean cultivar identification in Brazil. Genetics and Molecular Research. 9(2). 705–720. 8 indexed citations
14.
Schuster, Ivan, et al.. (2010). Regeneration of wheat plants from wheat (Triticum aestivum L. cv CD104) mature embryos.. Scientia Agraria. 11(2). 101–108. 2 indexed citations
15.
Chiari, Lucimara, et al.. (2010). Identification of a molecular marker linked to apomixis in Brachiaria humidicola (Poaceae). Plant Breeding. 129(6). 734–736. 22 indexed citations
16.
Marchioro, Volmir Sérgio, et al.. (2010). CD-119: A wheat cultivar for cold subtropical. Crop Breeding and Applied Biotechnology. 10(2). 173–175. 2 indexed citations
17.
Marchioro, Volmir Sérgio, et al.. (2009). CD 116: a healthy wheat cultivar with industrial quality.. Crop Breeding and Applied Biotechnology. 9(2). 196–198. 3 indexed citations
18.
Schuster, Ivan, et al.. (2009). Genetic variability in Brazilian wheat cultivars assessed by microsatellite markers. Genetics and Molecular Biology. 32(3). 557–563. 22 indexed citations
19.
Schuster, Ivan, et al.. (2008). Heterotic groups in tropical maize germplasm by test crosses and simple sequence repeat markers. Genetics and Molecular Research. 7(4). 1233–1244. 43 indexed citations
20.
Gesteira, Abelmon da Silva, Fabienne Micheli, Nicolas Carels, et al.. (2007). Comparative Analysis of Expressed Genes from Cacao Meristems Infected by Moniliophthora perniciosa. Annals of Botany. 100(1). 129–140. 63 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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