Keywan Hassani‐Pak

2.4k total citations
38 papers, 1.5k citations indexed

About

Keywan Hassani‐Pak is a scholar working on Molecular Biology, Plant Science and Insect Science. According to data from OpenAlex, Keywan Hassani‐Pak has authored 38 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 22 papers in Plant Science and 4 papers in Insect Science. Recurrent topics in Keywan Hassani‐Pak's work include Bioinformatics and Genomic Networks (10 papers), Genomics and Phylogenetic Studies (7 papers) and Biomedical Text Mining and Ontologies (6 papers). Keywan Hassani‐Pak is often cited by papers focused on Bioinformatics and Genomic Networks (10 papers), Genomics and Phylogenetic Studies (7 papers) and Biomedical Text Mining and Ontologies (6 papers). Keywan Hassani‐Pak collaborates with scholars based in United Kingdom, Germany and United States. Keywan Hassani‐Pak's co-authors include K. E. Hammond‐Kosack, Robert C. King, Martin Urban, David Hughes, Chris Rawlings, Michael C. U. Hammond-Kosack, Matthew J. Paul, Cara A. Griffiths, Asier Gonzalez‐Uriarte and Tommaso Giordani and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Keywan Hassani‐Pak

36 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
Keywan Hassani‐Pak United Kingdom 18 1.1k 602 244 129 110 38 1.5k
Mario Serrano Mexico 22 1.8k 1.6× 729 1.2× 320 1.3× 64 0.5× 115 1.0× 57 2.1k
Liping Xu China 33 2.3k 2.2× 1.0k 1.7× 163 0.7× 131 1.0× 84 0.8× 98 2.8k
Hye Sun Cho South Korea 26 1.8k 1.6× 1.4k 2.4× 275 1.1× 94 0.7× 53 0.5× 111 2.5k
Nicolás Denancé France 16 1.6k 1.5× 560 0.9× 156 0.6× 94 0.7× 153 1.4× 20 1.8k
Javier Forment Spain 22 1.3k 1.3× 1.1k 1.8× 98 0.4× 143 1.1× 102 0.9× 52 1.9k
Benjamin Pêtre France 23 1.7k 1.6× 795 1.3× 403 1.7× 48 0.4× 82 0.7× 35 2.0k
Roberto Ruíz‐Medrano Mexico 22 1.7k 1.6× 935 1.6× 95 0.4× 54 0.4× 157 1.4× 80 2.2k
Jun Qin China 24 1.4k 1.3× 385 0.6× 114 0.5× 160 1.2× 60 0.5× 88 1.6k
Jean‐Benoit Morel France 20 3.0k 2.8× 1.6k 2.6× 337 1.4× 124 1.0× 178 1.6× 38 3.5k
Simone Scalabrin Italy 22 1.1k 1.0× 830 1.4× 202 0.8× 256 2.0× 43 0.4× 40 1.7k

Countries citing papers authored by Keywan Hassani‐Pak

Since Specialization
Citations

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

Fields of papers citing papers by Keywan Hassani‐Pak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keywan Hassani‐Pak. 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 Keywan Hassani‐Pak. The network helps show where Keywan Hassani‐Pak may publish in the future.

Co-authorship network of co-authors of Keywan Hassani‐Pak

This figure shows the co-authorship network connecting the top 25 collaborators of Keywan Hassani‐Pak. A scholar is included among the top collaborators of Keywan Hassani‐Pak 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 Keywan Hassani‐Pak. Keywan Hassani‐Pak 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
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Rabiey, Mojgan, Tim H. Mauchline, Keywan Hassani‐Pak, et al.. (2024). Multiple toxins and a protease contribute to the aphid‐killing ability of Pseudomonas fluorescens PpR24. Environmental Microbiology. 26(4). e16604–e16604. 6 indexed citations
3.
4.
Wilkinson, Mark, C. C. Lowe, Jiemeng Xu, et al.. (2022). Novel molecules and target genes for vegetative heat tolerance in wheat. SHILAP Revista de lepidopterología. 3(6). 264–289. 2 indexed citations
5.
6.
Hassani‐Pak, Keywan, Marco Brandizi, Jeremy Parsons, et al.. (2021). KnetMiner: a comprehensive approach for supporting evidence‐based gene discovery and complex trait analysis across species. Plant Biotechnology Journal. 19(8). 1670–1678. 65 indexed citations
7.
Lyra, Danilo Hottis, Cara A. Griffiths, Amy Watson, et al.. (2021). Gene‐based mapping of trehalose biosynthetic pathway genes reveals association with source‐ and sink‐related yield traits in a spring wheat panel. Food and Energy Security. 10(3). e292–e292. 17 indexed citations
8.
Harrington, Sophie A., et al.. (2020). The Wheat GENIE3 Network Provides Biologically-Relevant Information in Polyploid Wheat. G3 Genes Genomes Genetics. 10(10). 3675–3686. 28 indexed citations
9.
Urban, Martin, Alayne Cuzick, James Seager, et al.. (2019). PHI-base: the pathogen–host interactions database. Nucleic Acids Research. 48(D1). D613–D620. 232 indexed citations
10.
Usai, Gabriele, Flavia Mascagni, Tommaso Giordani, et al.. (2019). Epigenetic patterns within the haplotype phased fig (Ficus carica L.) genome. The Plant Journal. 102(3). 600–614. 43 indexed citations
11.
Paul, Matthew J., Asier Gonzalez‐Uriarte, Cara A. Griffiths, & Keywan Hassani‐Pak. (2018). The Role of Trehalose 6-Phosphate in Crop Yield and Resilience. PLANT PHYSIOLOGY. 177(1). 12–23. 107 indexed citations
12.
Ménard, Guillaume, Fiona M. Bryant, Amélie A. Kelly, et al.. (2018). Natural variation in acyl editing is a determinant of seed storage oil composition. Scientific Reports. 8(1). 17346–17346. 6 indexed citations
13.
Vangelisti, Alberto, Lucia Natali, Rodolfo Bernardi, et al.. (2018). Transcriptome changes induced by arbuscular mycorrhizal fungi in sunflower (Helianthus annuus L.) roots. Scientific Reports. 8(1). 4–4. 178 indexed citations
14.
Wan, Yongfang, Robert C. King, R. A. C. Mitchell, Keywan Hassani‐Pak, & Malcolm J. Hawkesford. (2017). Spatiotemporal expression patterns of wheat amino acid transporters reveal their putative roles in nitrogen transport and responses to abiotic stress. Scientific Reports. 7(1). 52 indexed citations
15.
Ménard, Guillaume, Fiona M. Bryant, Amélie A. Kelly, et al.. (2017). Genome Wide Analysis of Fatty Acid Desaturation and Its Response to Temperature. PLANT PHYSIOLOGY. 173(3). 1594–1605. 48 indexed citations
16.
Hassani‐Pak, Keywan, et al.. (2016). Developing integrated crop knowledge networks to advance candidate gene discovery. PubMed. 11. 18–26. 30 indexed citations
17.
King, Robert C., Ricardo H. Ramírez-González, Jane A. Coghill, et al.. (2015). Mutation Scanning in Wheat by Exon Capture and Next-Generation Sequencing. PLoS ONE. 10(9). e0137549–e0137549. 43 indexed citations
18.
King, Robert C., Martin Urban, Michael C. U. Hammond-Kosack, Keywan Hassani‐Pak, & K. E. Hammond‐Kosack. (2015). The completed genome sequence of the pathogenic ascomycete fungus Fusarium graminearum. BMC Genomics. 16(1). 544–544. 150 indexed citations
19.
Wan, Yongfang, Theodora Tryfona, Ambrose Andongabo, et al.. (2014). Secondary cell wall composition and candidate gene expression in developing willow (Salix purpurea) stems. Planta. 239(5). 1041–1053. 8 indexed citations
20.
Lysenko, Artem, Michaël Defoin-Platel, Keywan Hassani‐Pak, et al.. (2011). Assessing the functional coherence of modules found in multiple-evidence networks from Arabidopsis. BMC Bioinformatics. 12(1). 203–203. 12 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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