Farida Begum

59 total papers · 1.5k total citations
43 papers, 944 citations indexed

About

Farida Begum is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Farida Begum has authored 43 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 14 papers in Plant Science and 13 papers in Cell Biology. Recurrent topics in Farida Begum's work include Plant tissue culture and regeneration (9 papers), Cellular transport and secretion (6 papers) and Plant Genetic and Mutation Studies (4 papers). Farida Begum is often cited by papers focused on Plant tissue culture and regeneration (9 papers), Cellular transport and secretion (6 papers) and Plant Genetic and Mutation Studies (4 papers). Farida Begum collaborates with scholars based in United Kingdom, Pakistan and Bangladesh. Farida Begum's co-authors include Jessica Chadwick, Mark Skehel, Laura Pellegrini, Madeline A. Lancaster, Claudia Bonfio, Sean Munro, Alison K. Gillingham, Mohammad Nurul Amin, John J. H. Shin and Sew‐Yeu Peak‐Chew and has published in prestigious journals such as Science, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Farida Begum

43 papers receiving 905 citations

Hit Papers

Human CNS barrier-forming... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Farida Begum 571 244 126 111 87 43 944
Russell J. Taylor 845 1.5× 104 0.4× 78 0.6× 91 0.8× 197 2.3× 33 1.2k
Christina Müller 514 0.9× 81 0.3× 95 0.8× 61 0.5× 61 0.7× 34 917
Éva Hunyadi‐Gulyás 763 1.3× 104 0.4× 99 0.8× 51 0.5× 77 0.9× 66 1.1k
Joan M. Lyles 542 0.9× 136 0.6× 126 1.0× 41 0.4× 246 2.8× 20 1.0k
Yongmei Pu 704 1.2× 134 0.5× 85 0.7× 46 0.4× 151 1.7× 22 1.0k
Kazuhiko Oishi 759 1.3× 147 0.6× 40 0.3× 75 0.7× 105 1.2× 42 1.2k
Laurent Paquereau 581 1.0× 82 0.3× 132 1.0× 33 0.3× 114 1.3× 39 927
Shuichiro Goda 793 1.4× 83 0.3× 49 0.4× 64 0.6× 142 1.6× 54 1.1k
Daisuke Nakajima 687 1.2× 149 0.6× 85 0.7× 21 0.2× 133 1.5× 47 1.1k
Mark J. Henderson 608 1.1× 276 1.1× 39 0.3× 61 0.5× 205 2.4× 52 1.2k

Countries citing papers authored by Farida Begum

Since Specialization
Citations

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

Fields of papers citing papers by Farida Begum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farida Begum

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

All Works

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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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