Boby Mathew

693 total citations
19 papers, 411 citations indexed

About

Boby Mathew is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Boby Mathew has authored 19 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 10 papers in Genetics and 2 papers in Molecular Biology. Recurrent topics in Boby Mathew's work include Genetic Mapping and Diversity in Plants and Animals (10 papers), Genetics and Plant Breeding (9 papers) and Genetic and phenotypic traits in livestock (6 papers). Boby Mathew is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (10 papers), Genetics and Plant Breeding (9 papers) and Genetic and phenotypic traits in livestock (6 papers). Boby Mathew collaborates with scholars based in Germany, Finland and Colombia. Boby Mathew's co-authors include Jens Léon, Wiebke Sannemann, Mikko J. Sillanpää, Bevan E. Huang, Agim Ballvora, Petri Koistinen, Michael Frei, Luís Augusto Becerra López‐Lavalle, Annaliese S. Mason and Camilo López and has published in prestigious journals such as PLoS ONE, Scientific Reports and Genetics.

In The Last Decade

Boby Mathew

19 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Boby Mathew Germany 13 341 193 57 26 25 19 411
Derong Gao China 12 514 1.5× 57 0.3× 57 1.0× 53 2.0× 4 0.2× 34 545
Mikiko Koyama United Kingdom 5 538 1.6× 178 0.9× 74 1.3× 33 1.3× 3 0.1× 8 560
L. V. Subba Rao India 13 450 1.3× 103 0.5× 42 0.7× 21 0.8× 3 0.1× 54 506
Balpreet K. Dhatt United States 11 295 0.9× 96 0.5× 65 1.1× 24 0.9× 5 0.2× 16 326
S. Pelleschi France 5 397 1.2× 118 0.6× 64 1.1× 80 3.1× 6 0.2× 5 436
Monica F. Danilevicz Australia 10 306 0.9× 131 0.7× 109 1.9× 16 0.6× 6 0.2× 23 412
О. Н. Ковалева Russia 8 203 0.6× 46 0.2× 37 0.6× 68 2.6× 9 0.4× 47 278
Borbála Hoffmann Hungary 9 311 0.9× 36 0.2× 43 0.8× 95 3.7× 17 0.7× 20 329
Nozomi Ono Japan 10 596 1.7× 388 2.0× 128 2.2× 19 0.7× 2 0.1× 12 634
Ulrike Glaubitz Germany 6 296 0.9× 48 0.2× 117 2.1× 20 0.8× 6 0.2× 7 341

Countries citing papers authored by Boby Mathew

Since Specialization
Citations

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

Fields of papers citing papers by Boby Mathew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boby Mathew

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

All Works

19 of 19 papers shown
1.
Schneider, Michael, Benedict C. Oyiga, Boby Mathew, et al.. (2022). Transcriptome profiling of barley and tomato shoot and root meristems unravels physiological variations underlying photoperiodic sensitivity. PLoS ONE. 17(9). e0265981–e0265981. 1 indexed citations
2.
Mathew, Boby, Andreas Hauptmann, Jens Léon, & Mikko J. Sillanpää. (2022). NeuralLasso: Neural Networks Meet Lasso in Genomic Prediction. Frontiers in Plant Science. 13. 800161–800161. 4 indexed citations
3.
4.
Mathew, Boby, et al.. (2021). Detection of breeding signatures in wheat using a linkage disequilibrium-corrected mapping approach. Scientific Reports. 11(1). 5527–5527. 25 indexed citations
5.
Schoof, Heiko, Benedict C. Oyiga, Michael Schneider, et al.. (2020). Transcriptome profiling at osmotic and ionic phases of salt stress response in bread wheat uncovers trait-specific candidate genes. BMC Plant Biology. 20(1). 428–428. 19 indexed citations
6.
Oon, Cheen Sean, S.N. Kazi, Nashrul Zubir, et al.. (2020). Fouling and fouling mitigation of mineral salt using bio-based functionalized graphene nano-plates. Journal of Thermal Analysis and Calorimetry. 146(1). 265–275. 6 indexed citations
7.
Ueda, Yoshiaki, et al.. (2018). Genome-wide association study to identify candidate loci and genes for Mn toxicity tolerance in rice. PLoS ONE. 13(2). e0192116–e0192116. 19 indexed citations
8.
Mathew, Boby, Jens Léon, & Mikko J. Sillanpää. (2018). Impact of residual covariance structures on genomic prediction ability in multi-environment trials. PLoS ONE. 13(7). e0201181–e0201181. 8 indexed citations
9.
Ashrafuzzaman, Mohammad, Basharat Ali, Boby Mathew, et al.. (2018). Ethylenediurea (EDU) mitigates the negative effects of ozone in rice: Insights into its mode of action. Plant Cell & Environment. 41(12). 2882–2898. 32 indexed citations
10.
Mathew, Boby, Jens Léon, & Mikko J. Sillanpää. (2017). A novel linkage-disequilibrium corrected genomic relationship matrix for SNP-heritability estimation and genomic prediction. Heredity. 120(4). 356–368. 28 indexed citations
11.
Mathew, Boby, et al.. (2017). Major Novel QTL for Resistance to Cassava Bacterial Blight Identified through a Multi-Environmental Analysis. Frontiers in Plant Science. 8. 1169–1169. 18 indexed citations
12.
Mathew, Boby, Jens Léon, Wiebke Sannemann, & Mikko J. Sillanpää. (2017). Detection of Epistasis for Flowering Time Using Bayesian Multilocus Estimation in a Barley MAGIC Population. Genetics. 208(2). 525–536. 28 indexed citations
13.
López‐Lavalle, Luís Augusto Becerra, Boby Mathew, Jens Léon, et al.. (2015). A genetic map of cassava (Manihot esculenta Crantz) with integrated physical mapping of immunity-related genes. BMC Genomics. 16(1). 190–190. 48 indexed citations
14.
15.
Mathew, Boby, et al.. (2015). Reparametrization-based estimation of genetic parameters in multi-trait animal model using Integrated Nested Laplace Approximation. Theoretical and Applied Genetics. 129(2). 215–225. 12 indexed citations
16.
Sannemann, Wiebke, Bevan E. Huang, Boby Mathew, & Jens Léon. (2015). Multi-parent advanced generation inter-cross in barley: high-resolution quantitative trait locus mapping for flowering time as a proof of concept. Molecular Breeding. 35(3). 93 indexed citations
17.
Mathew, Boby, Jens Léon, & Mikko J. Sillanpää. (2015). Integrated nested Laplace approximation inference and cross-validation to tune variance components in estimation of breeding value. Molecular Breeding. 35(3). 7 indexed citations
18.
Mathew, Boby, et al.. (2012). Bayesian adaptive Markov chain Monte Carlo estimation of genetic parameters. Heredity. 109(4). 235–245. 24 indexed citations
19.
Mathew, Boby, et al.. (2012). Barrier analysis detected genetic discontinuity among Ethiopian barley (Hordeum vulgare L.) landraces due to landscape and human mobility on gene flow. Genetic Resources and Crop Evolution. 60(1). 297–309. 11 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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