Shakila Ali

947 total citations
3 papers, 583 citations indexed

About

Shakila Ali is a scholar working on Molecular Biology, Plant Science and Insect Science. According to data from OpenAlex, Shakila Ali has authored 3 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Plant Science and 2 papers in Insect Science. Recurrent topics in Shakila Ali's work include CRISPR and Genetic Engineering (3 papers), Plant Virus Research Studies (3 papers) and Insect symbiosis and bacterial influences (2 papers). Shakila Ali is often cited by papers focused on CRISPR and Genetic Engineering (3 papers), Plant Virus Research Studies (3 papers) and Insect symbiosis and bacterial influences (2 papers). Shakila Ali collaborates with scholars based in Saudi Arabia. Shakila Ali's co-authors include Magdy M. Mahfouz, Zahir Ali, Manal Tashkandi, A. M. Idris, Aala A. Abulfaraj, Syed Shan‐e‐Ali Zaidi and Ayman Eid and has published in prestigious journals such as Scientific Reports, Genome biology and Virus Research.

In The Last Decade

Shakila Ali

3 papers receiving 569 citations

Peers

Shakila Ali
Manal Tashkandi Saudi Arabia
Alan L. Eggenberger United States
Emma Sheehan United Kingdom
P. R. Beetham Australia
David J. Ingham United States
Manal Tashkandi Saudi Arabia
Shakila Ali
Citations per year, relative to Shakila Ali Shakila Ali (= 1×) peers Manal Tashkandi

Countries citing papers authored by Shakila Ali

Since Specialization
Citations

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

Fields of papers citing papers by Shakila Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shakila Ali

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

All Works

3 of 3 papers shown
1.
Ali, Zahir, Ayman Eid, Shakila Ali, & Magdy M. Mahfouz. (2017). Pea early-browning virus-mediated genome editing via the CRISPR/Cas9 system in Nicotiana benthamiana and Arabidopsis. Virus Research. 244. 333–337. 100 indexed citations
2.
Ali, Zahir, Shakila Ali, Manal Tashkandi, Syed Shan‐e‐Ali Zaidi, & Magdy M. Mahfouz. (2016). CRISPR/Cas9-Mediated Immunity to Geminiviruses: Differential Interference and Evasion. Scientific Reports. 6(1). 26912–26912. 182 indexed citations
3.
Ali, Zahir, Aala A. Abulfaraj, A. M. Idris, et al.. (2015). CRISPR/Cas9-mediated viral interference in plants. Genome biology. 16(1). 238–238. 301 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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