M. N. Barakat

561 total citations
40 papers, 423 citations indexed

About

M. N. Barakat is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, M. N. Barakat has authored 40 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Plant Science, 15 papers in Genetics and 10 papers in Molecular Biology. Recurrent topics in M. N. Barakat's work include Wheat and Barley Genetics and Pathology (22 papers), Genetic Mapping and Diversity in Plants and Animals (12 papers) and Genetics and Plant Breeding (12 papers). M. N. Barakat is often cited by papers focused on Wheat and Barley Genetics and Pathology (22 papers), Genetic Mapping and Diversity in Plants and Animals (12 papers) and Genetics and Plant Breeding (12 papers). M. N. Barakat collaborates with scholars based in Egypt, Saudi Arabia and United States. M. N. Barakat's co-authors include Khaled Moustafa, E. C. Cocking, Abdullah Al-Doss, Eid I. Ibrahim, Ibrahim Al-Ashkar, Salah El-Hendawy, Abdelhalim I. Ghazy, Nasser Al-Suhaibani, Mohamed I. Motawei and Mohamed S. Alamri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Human Neuroscience and Plant Cell Reports.

In The Last Decade

M. N. Barakat

37 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. N. Barakat Egypt 15 383 111 104 79 18 40 423
Elisa Serra Negra Vieira Brazil 10 279 0.7× 60 0.5× 65 0.6× 37 0.5× 7 0.4× 52 319
Lia Shooshtari Iran 9 243 0.6× 108 1.0× 91 0.9× 46 0.6× 6 0.3× 26 327
Ljupcho Jankuloski Austria 10 364 1.0× 88 0.8× 90 0.9× 58 0.7× 5 0.3× 21 386
Harish Manmathan United States 8 310 0.8× 91 0.8× 110 1.1× 26 0.3× 9 0.5× 10 351
Antônio Orlando Di Mauro Brazil 14 557 1.5× 45 0.4× 147 1.4× 58 0.7× 12 0.7× 61 589
Pasquale Luca Curci Italy 11 326 0.9× 59 0.5× 165 1.6× 36 0.5× 7 0.4× 19 428
Jishan Niu China 15 506 1.3× 73 0.7× 130 1.3× 54 0.7× 7 0.4× 53 560
Renata Pereira da Cruz Brazil 11 442 1.2× 158 1.4× 111 1.1× 31 0.4× 5 0.3× 20 480
Ali Moumeni Iran 10 471 1.2× 131 1.2× 176 1.7× 17 0.2× 5 0.3× 32 521
H. K. Jaiswal India 10 323 0.8× 47 0.4× 54 0.5× 37 0.5× 12 0.7× 40 345

Countries citing papers authored by M. N. Barakat

Since Specialization
Citations

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

Fields of papers citing papers by M. N. Barakat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. N. Barakat. 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 M. N. Barakat. The network helps show where M. N. Barakat may publish in the future.

Co-authorship network of co-authors of M. N. Barakat

This figure shows the co-authorship network connecting the top 25 collaborators of M. N. Barakat. A scholar is included among the top collaborators of M. N. Barakat 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 M. N. Barakat. M. N. Barakat 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.
Barakat, M. N., et al.. (2025). Stochasticity as a solution for overfitting—A new model and comparative study on non-invasive EEG prospects. Frontiers in Human Neuroscience. 19. 1484470–1484470.
2.
Barakat, M. N., et al.. (2025). ArEEG: an Open-Access Arabic Inner Speech EEG Dataset. Scientific Data. 12(1). 1513–1513.
3.
4.
Barakat, M. N., Abdullah Al-Doss, Mohamed I. Motawei, et al.. (2020). QTL analysis of farinograph and mixograph related traits in spring wheat under heat stress conditions. Molecular Biology Reports. 47(7). 5477–5486. 5 indexed citations
5.
Barakat, M. N., Abdullah Al-Doss, Mohamed I. Motawei, et al.. (2020). Mapping wheat QTLS for grain yield related traits under high temperature stress. Genetika. 52(3). 1107–1125. 5 indexed citations
6.
Barakat, M. N., et al.. (2017). Doubled haploid wheat lines with high molecular weight glutenin alleles derived from microspore cultures. New Zealand Journal of Crop and Horticultural Science. 46(3). 198–211. 5 indexed citations
7.
Barakat, M. N., et al.. (2016). Identification of molecular markers linked to Fusarium ear rot genes in maize plantsZea maysL. Biotechnology & Biotechnological Equipment. 30(4). 692–699. 9 indexed citations
8.
Barakat, M. N., et al.. (2015). Identification of QTLs for four physiological traits in an advanced backcross population of wheat under drought stress. Plant Omics. 8(2). 122–129. 4 indexed citations
9.
Barakat, M. N., et al.. (2013). Assessment of genetic diversity among wheat doubled haploid plants using TRAP markers and morpho-agronomic traits. Australian Journal of Crop Science. 7(1). 104–111. 14 indexed citations
10.
Moustafa, Khaled, et al.. (2013). Identification of new SRAP markers linked to leaf chlorophyll content, flag leaf senescence and cell membrane stability traits in wheat under water-stressed condition. Australian Journal of Crop Science. 7(6). 887–893. 21 indexed citations
11.
Barakat, M. N., et al.. (2012). TOWARDS IN VITRO SELECTION FOR SALINITY TOLERANCE IN APRICOT CULTIVAR 'CANINO'. Acta Horticulturae. 147–152. 1 indexed citations
12.
Moustafa, Khaled, et al.. (2011). Comparative analysis of diversity based on morpho- agronomic traits and molecular markers in durum wheat under heat stress. AFRICAN JOURNAL OF BIOTECHNOLOGY. 10(19). 3671–3681. 19 indexed citations
13.
Barakat, M. N., et al.. (2011). Identification of new microsatellite marker linked to the grain filling rate as indicator for heat tolerance genes in F2 wheat population. Australian Journal of Crop Science. 5(2). 104–110. 37 indexed citations
14.
Barakat, M. N., et al.. (2011). Identification of RAPD and ISSR markers associated with flag leaf senescence under water- stressed conditions in wheat (Triticum aestivum L.). Australian Journal of Crop Science. 5(3). 337. 19 indexed citations
15.
Barakat, M. N., et al.. (2010). In vitro mutagenesis and identification of new variants via RAPD markers for improving Chrysanthemum morifolium. African Journal of Agricultural Research. 5(8). 748–757. 29 indexed citations
16.
Moustafa, Khaled, et al.. (2010). Grain yield stability and molecular characterization of durum wheat genotypes under heat stress conditions. African Journal of Agricultural Research. 5(22). 3065–3074. 19 indexed citations
17.
Barakat, M. N., et al.. (2010). Morphological and molecular characterization of Saudi wheat genotypes under drought stress. Journal of Food Agriculture & Environment. 8(1). 220–228. 21 indexed citations
18.
Barakat, M. N., et al.. (2002). Effect of genotype and media on embryogenic callus formation and plant regeneration in maize. 1 indexed citations
19.
20.
Barakat, M. N.. (1995). In vitro selection for drought tolerant lines in wheat. 1. Effect of polyethylene glycol on the embryogenic cultures. 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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