Keywan Hassani‐Pak

2.4k citations
38 papers · 1.5k indexed · h-index 18
Topics
Bioinformatics and Genomic Networks (10 papers)Genomics and Phylogenetic Studies (7 papers)Biomedical Text Mining and Ontologies (6 papers)
Journals
Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBioinformatics

In The Last Decade

Keywan Hassani‐Pak

36 papers receiving 1.5k citations

Peers

Keywan Hassani‐Pak
Comparison fields: 5 of 129
  • Plant Science 1.1k
  • Molecular Biology 602
  • Cell Biology 244
  • Genetics 129
  • Insect Science 110
Replace Hye Sun Cho with:
Hye Sun Cho South Korea
Jun Guo China
Mario Serrano Mexico
Benjamin Pêtre France
Ming Guo United States
Nadim W. Alkharouf United States
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Soon Il Kwon South Korea
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Freddy Boutrot United Kingdom
Keywan Hassani‐Pak relative to Hye Sun Cho South Korea Hye Sun Cho's profile →
Citations per field
00.5×1.5×2.1×
Hye Sun Cho · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 6
3 18
4 19
5 8
6 65
7 17
8 28
9 232
10 43
11 107
12 6
13 178
14 48
15 30
16 150
17 43
18 14
19 8
20 12

About Keywan Hassani‐Pak

Keywan Hassani‐Pak is a scholar working on Plant Science, Molecular Biology and Insect Science, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (10 papers), Genomics and Phylogenetic Studies (7 papers) and Biomedical Text Mining and Ontologies (6 papers). The work is most often cited by research in Plant Science (1.1k citations), Cell Biology (244 citations) and Insect Science (110 citations). Keywan Hassani‐Pak has collaborated with scholars based in United Kingdom, Germany and United States. Frequent 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. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

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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