Anita K. Hopper

8.6k total citations · 1 hit paper
123 papers, 7.2k citations indexed

About

Anita K. Hopper is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Anita K. Hopper has authored 123 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Molecular Biology, 6 papers in Oncology and 4 papers in Cell Biology. Recurrent topics in Anita K. Hopper's work include RNA modifications and cancer (95 papers), RNA Research and Splicing (89 papers) and RNA and protein synthesis mechanisms (87 papers). Anita K. Hopper is often cited by papers focused on RNA modifications and cancer (95 papers), RNA Research and Splicing (89 papers) and RNA and protein synthesis mechanisms (87 papers). Anita K. Hopper collaborates with scholars based in United States, Poland and France. Anita K. Hopper's co-authors include Eric M. Phizicky, Nicola Martin, Nancy Martín, Hussam Shaheen, Srimonti Sarkar, Hsiao‐Yun Huang, David R. Stanford, Magdalena Boguta, Benjamin D. Hall and Nigel S. Atkinson and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Anita K. Hopper

123 papers receiving 7.0k citations

Hit Papers

tRNA biology charges to the front 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anita K. Hopper United States 51 6.9k 493 456 367 312 123 7.2k
Paul L. Bartel United States 15 2.8k 0.4× 454 0.9× 543 1.2× 193 0.5× 329 1.1× 18 3.3k
Susan L. Forsburg United States 38 5.3k 0.8× 1.5k 3.1× 492 1.1× 304 0.8× 826 2.6× 114 5.9k
Barbara Garvik United States 15 2.8k 0.4× 351 0.7× 232 0.5× 177 0.5× 297 1.0× 17 3.6k
Jorge E. Allende Chile 36 2.8k 0.4× 448 0.9× 429 0.9× 123 0.3× 308 1.0× 121 3.6k
Mark Goebl United States 28 4.7k 0.7× 1.4k 2.8× 573 1.3× 190 0.5× 798 2.6× 37 5.3k
J.E. Dixon United States 18 2.6k 0.4× 577 1.2× 277 0.6× 110 0.3× 264 0.8× 20 3.3k
Traude H. Beilharz Australia 33 2.9k 0.4× 730 1.5× 148 0.3× 284 0.8× 284 0.9× 73 3.7k
Pradman K. Qasba United States 33 3.0k 0.4× 341 0.7× 422 0.9× 92 0.3× 178 0.6× 107 4.0k
Oscar M. Aparicio United States 34 6.9k 1.0× 720 1.5× 374 0.8× 511 1.4× 1.1k 3.5× 55 7.5k
Sarah Maslen United Kingdom 38 3.7k 0.5× 1.1k 2.1× 655 1.4× 253 0.7× 383 1.2× 78 4.8k

Countries citing papers authored by Anita K. Hopper

Since Specialization
Citations

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

Fields of papers citing papers by Anita K. Hopper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anita K. Hopper. 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 Anita K. Hopper. The network helps show where Anita K. Hopper may publish in the future.

Co-authorship network of co-authors of Anita K. Hopper

This figure shows the co-authorship network connecting the top 25 collaborators of Anita K. Hopper. A scholar is included among the top collaborators of Anita K. Hopper 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 Anita K. Hopper. Anita K. Hopper 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
1.
Nostramo, Regina, et al.. (2025). Free introns of tRNAs as complementarity-dependent regulators of gene expression. Molecular Cell. 85(4). 726–741.e6. 4 indexed citations
2.
Hopper, Anita K. & Jinwei Zhang. (2023). Captured: the elusive eukaryotic tRNA splicing enzyme. Nature Structural & Molecular Biology. 30(6). 711–713. 2 indexed citations
3.
Schmidt, Casey A., et al.. (2019). Molecular determinants of metazoan tricRNA biogenesis. Nucleic Acids Research. 47(12). 6452–6465. 93 indexed citations
4.
Hopper, Anita K., et al.. (2018). From powerhouse to processing plant: conserved roles of mitochondrial outer membrane proteins in tRNA splicing. Genes & Development. 32(19-20). 1309–1314. 20 indexed citations
5.
Phizicky, Eric M. & Anita K. Hopper. (2015). tRNA processing, modification, and subcellular dynamics: past, present, and future. RNA. 21(4). 483–485. 33 indexed citations
6.
Hurto, Rebecca L. & Anita K. Hopper. (2011). P-body components, Dhh1 and Pat1, are involved in tRNA nuclear-cytoplasmic dynamics. RNA. 17(5). 912–924. 17 indexed citations
7.
Turowski, Tomasz W., et al.. (2011). Maf1 Protein, Repressor of RNA Polymerase III, Indirectly Affects tRNA Processing. Journal of Biological Chemistry. 286(45). 39478–39488. 40 indexed citations
8.
Shaheen, Hussam, et al.. (2007). Retrograde nuclear accumulation of cytoplasmic tRNA in rat hepatoma cells in response to amino acid deprivation. Proceedings of the National Academy of Sciences. 104(21). 8845–8850. 80 indexed citations
9.
Hurto, Rebecca L., et al.. (2007). Rapid and Reversible Nuclear Accumulation of Cytoplasmic tRNA in Response to Nutrient Availability. Molecular Biology of the Cell. 18(7). 2678–2686. 87 indexed citations
10.
Hopper, Anita K.. (2006). Cellular Dynamics of Small RNAs. Critical Reviews in Biochemistry and Molecular Biology. 41(1). 3–19. 23 indexed citations
11.
Shaheen, Hussam & Anita K. Hopper. (2005). Retrograde movement of tRNAs from the cytoplasm to the nucleus in Saccharomyces cerevisiae. Proceedings of the National Academy of Sciences. 102(32). 11290–11295. 138 indexed citations
12.
Hopper, Anita K., et al.. (2002). A Los1p-independent pathway for nuclear export of intronless tRNAs in Saccharomyces cerevisiae. Proceedings of the National Academy of Sciences. 99(8). 5412–5417. 59 indexed citations
13.
Kamińska, Joanna, Beata Gajewska, Anita K. Hopper, & Teresa Żołądek. (2002). Rsp5p, a New Link between the Actin Cytoskeleton and Endocytosis in the Yeast Saccharomyces cerevisiae. Molecular and Cellular Biology. 22(20). 6946–6948. 49 indexed citations
14.
Sarkar, Srimonti & Anita K. Hopper. (1998). tRNA Nuclear Export inSaccharomyces cerevisiae: In Situ Hybridization Analysis. Molecular Biology of the Cell. 9(11). 3041–3055. 150 indexed citations
15.
Stanford, David R., et al.. (1996). Loslp, Involved in Yeast Pre-tRNA Splicing, Positively Regulates Members of the SOL Gene Family. Genetics. 143(2). 699–712. 16 indexed citations
16.
17.
Tung, Kuei-Shu, et al.. (1992). SRN1, a Yeast Gene Involved in RNA Processing, Is Identical to HEX2/REG1, a Negative Regulator in Glucose Repression. Molecular and Cellular Biology. 12(6). 2673–2680. 15 indexed citations
18.
Slusher, Leslie B., et al.. (1991). MOD5 Translation Initiation Sites Determine N 6 -Isopentenyladenosine Modification of Mitochondrial and Cytoplasmic tRNA. Molecular and Cellular Biology. 11(5). 2382–2390. 26 indexed citations
19.
Ellis, Steven R., Anita K. Hopper, & Nicola Martin. (1989). Amino-Terminal Extension Generated from an Upstream AUG Codon Increases the Efficiency of Mitochondrial Import of Yeast N 2 , N 2 -Dimethylguanosine-Specific tRNA Methyltransferases. Molecular and Cellular Biology. 9(4). 1611–1620. 38 indexed citations
20.
Atkinson, Nigel S., et al.. (1985). Characterization of an Essential Saccharomyces cerevisiae Gene Related to RNA Processing: Cloning of RNA1 and Generation of a New Allele with a Novel Phenotype. Molecular and Cellular Biology. 5(5). 907–915. 16 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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