Haseena Khan

1.9k total citations
79 papers, 1.3k citations indexed

About

Haseena Khan is a scholar working on Molecular Biology, Plant Science and Food Science. According to data from OpenAlex, Haseena Khan has authored 79 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 32 papers in Plant Science and 22 papers in Food Science. Recurrent topics in Haseena Khan's work include Seed and Plant Biochemistry (21 papers), Microbial Metabolites in Food Biotechnology (8 papers) and Genetic and Environmental Crop Studies (7 papers). Haseena Khan is often cited by papers focused on Seed and Plant Biochemistry (21 papers), Microbial Metabolites in Food Biotechnology (8 papers) and Genetic and Environmental Crop Studies (7 papers). Haseena Khan collaborates with scholars based in Bangladesh, Canada and India. Haseena Khan's co-authors include M.R. Sairam, T.A. Yarney, Ray Dixon, Martin Buck, Samiul Haque, Mohammad Riazul Islam, Md. Shahidul Islam, Muhammad Saeed, Naveed Muhammad and Mohammad B. Hossain and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Haseena Khan

75 papers receiving 1.2k citations

Peers

Haseena Khan
Comparison fields: 5 of 109
  • Molecular Biology 434
  • Plant Science 418
  • Genetics 259
  • Reproductive Medicine 255
  • Food Science 239
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Citations per field, relative to Haseena Khan
Haseena Khan · 1×
Citations per year, relative to Haseena Khan
Haseena Khan · 1×

Countries citing papers authored by Haseena Khan

Since Specialization
Citations

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

Fields of papers citing papers by Haseena Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haseena Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Haseena Khan. A scholar is included among the top collaborators of Haseena Khan 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 Haseena Khan. Haseena Khan 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
# Work Indexed citations
1 1
2 1
3 0
4 1
5 1
6 6
7 12
8 8
9 34
10
Identification of stable reference genes for quantitative PCR in jute under different experimental conditions: An essential assessment for gene expression analysis
9
11 21
12 7
13
In silico analysis of jute SSR library and experimental verification of assembly
8
14
Differentially expressed transcripts of wild and cultivated jute (Corchorusspp.) varieties upon fungal (Macrophomina phaseolina) infection
4
15 15
16
A computational and experimental approach for developing jute ESTs from genomic clones.
3
17
Microsatellite markers for determining genetic identities and genetic diversity among jute cultivars
21
18 53
19 74
20 40

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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