Amena Arif

820 total citations · 1 hit paper
9 papers, 481 citations indexed

About

Amena Arif is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Amena Arif has authored 9 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Plant Science and 2 papers in Genetics. Recurrent topics in Amena Arif's work include CRISPR and Genetic Engineering (6 papers), Chromosomal and Genetic Variations (6 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Amena Arif is often cited by papers focused on CRISPR and Genetic Engineering (6 papers), Chromosomal and Genetic Variations (6 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Amena Arif collaborates with scholars based in United States, Sweden and Netherlands. Amena Arif's co-authors include Phillip D. Zamore, Ildar Gainetdinov, Katharine Cecchini, Cansu Colpan, Deniz M. Özata, Pei-Hsuan Wu, Tianxiong Yu, Zhiping Weng, Yu Fu and Ian J. MacRae and has published in prestigious journals such as Nature, Nature Genetics and Nature Biotechnology.

In The Last Decade

Amena Arif

9 papers receiving 478 citations

Hit Papers

Improved cytosine base editors generated from TadA variants 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Amena Arif United States 8 432 283 68 50 19 9 481
Cansu Colpan United States 11 508 1.2× 339 1.2× 79 1.2× 81 1.6× 15 0.8× 11 569
Jordi Xiol France 4 491 1.1× 360 1.3× 86 1.3× 37 0.7× 16 0.8× 4 553
Pavol Genzor United States 10 403 0.9× 211 0.7× 75 1.1× 81 1.6× 10 0.5× 15 455
Evelyn L. Eastwood United Kingdom 6 498 1.2× 368 1.3× 60 0.9× 72 1.4× 14 0.7× 7 563
Alexei A. Kotov Russia 11 267 0.6× 198 0.7× 96 1.4× 16 0.3× 15 0.8× 22 339
Emma Kneuss United Kingdom 6 546 1.3× 378 1.3× 67 1.0× 88 1.8× 18 0.9× 8 631
Adam N. Harris United States 2 370 0.9× 203 0.7× 82 1.2× 40 0.8× 6 0.3× 4 434
Thomas Grentzinger France 8 396 0.9× 382 1.3× 41 0.6× 45 0.9× 13 0.7× 10 526
Nadine Schulz Germany 5 421 1.0× 358 1.3× 51 0.8× 52 1.0× 16 0.8× 7 501
Daniel Gebert Germany 8 261 0.6× 182 0.6× 42 0.6× 72 1.4× 9 0.5× 13 332

Countries citing papers authored by Amena Arif

Since Specialization
Citations

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

Fields of papers citing papers by Amena Arif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amena Arif

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

All Works

9 of 9 papers shown
1.
Lam, Dieter K., Patrícia R. Feliciano, Amena Arif, et al.. (2023). Improved cytosine base editors generated from TadA variants. Nature Biotechnology. 41(5). 686–697. 79 indexed citations breakdown →
2.
Gainetdinov, Ildar, Joel Vega‐Badillo, Katharine Cecchini, et al.. (2023). Relaxed targeting rules help PIWI proteins silence transposons. Nature. 619(7969). 394–402. 42 indexed citations
3.
Arif, Amena, Shannon M. Bailey, Natsuko Izumi, et al.. (2022). GTSF1 accelerates target RNA cleavage by PIWI-clade Argonaute proteins. Nature. 608(7923). 618–625. 39 indexed citations
4.
Cecchini, Katharine, Tianxiong Yu, Haiwei Mou, et al.. (2022). The transcription factor TCFL5 responds to A-MYB to elaborate the male meiotic program in mice. Reproduction. 165(2). 183–196. 16 indexed citations
5.
Yu, Tianxiong, Katharine Cecchini, Haiwei Mou, et al.. (2022). A-MYB/TCFL5 regulatory architecture ensures the production of pachytene piRNAs in placental mammals. RNA. 29(1). 30–43. 17 indexed citations
6.
Chen, Zexiang, Gitali Devi, Amena Arif, et al.. (2022). Tetrazine-Ligated CRISPR sgRNAs for Efficient Genome Editing. ACS Chemical Biology. 17(5). 1045–1050. 5 indexed citations
7.
Gainetdinov, Ildar, Cansu Colpan, Katharine Cecchini, et al.. (2021). Terminal modification, sequence, length, and PIWI-protein identity determine piRNA stability. Molecular Cell. 81(23). 4826–4842.e8. 41 indexed citations
8.
Wu, Pei-Hsuan, Yu Fu, Katharine Cecchini, et al.. (2020). The evolutionarily conserved piRNA-producing locus pi6 is required for male mouse fertility. Nature Genetics. 52(7). 728–739. 93 indexed citations
9.
Gainetdinov, Ildar, Cansu Colpan, Amena Arif, Katharine Cecchini, & Phillip D. Zamore. (2018). A Single Mechanism of Biogenesis, Initiated and Directed by PIWI Proteins, Explains piRNA Production in Most Animals. Molecular Cell. 71(5). 775–790.e5. 149 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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