Rina Fujiwara

422 total citations
10 papers, 268 citations indexed

About

Rina Fujiwara is a scholar working on Molecular Biology, Oncology and Pharmacology. According to data from OpenAlex, Rina Fujiwara has authored 10 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Pharmacology. Recurrent topics in Rina Fujiwara's work include Pharmacogenetics and Drug Metabolism (3 papers), RNA Research and Splicing (3 papers) and RNA modifications and cancer (2 papers). Rina Fujiwara is often cited by papers focused on Pharmacogenetics and Drug Metabolism (3 papers), RNA Research and Splicing (3 papers) and RNA modifications and cancer (2 papers). Rina Fujiwara collaborates with scholars based in United States, Switzerland and Argentina. Rina Fujiwara's co-authors include Leslie D. Nagy, Simone Sidoli, Benjamin A. García, Martin J. How, Joseph C. Corbo, Jennifer M. Enright, Vladimir J. Kefalov, James Allen, Nicholas W. Roberts and Kevin M. Johnson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Analytical Chemistry.

In The Last Decade

Rina Fujiwara

10 papers receiving 264 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rina Fujiwara United States 7 154 43 37 34 29 10 268
Gloria R. Garcia United States 8 131 0.9× 20 0.5× 8 0.2× 13 0.4× 16 0.6× 10 420
Tram Anh Ta United States 9 233 1.5× 89 2.1× 22 0.6× 18 0.5× 3 0.1× 11 526
Denise May United Kingdom 8 232 1.5× 138 3.2× 12 0.3× 6 0.2× 14 0.5× 11 390
Gabriele Vacun Germany 9 300 1.9× 53 1.2× 19 0.5× 17 0.5× 7 0.2× 10 435
Marjolein Bosma Netherlands 13 181 1.2× 42 1.0× 18 0.5× 7 0.2× 5 0.2× 18 377
Rebecca Hewitt United Kingdom 8 127 0.8× 57 1.3× 7 0.2× 11 0.3× 2 0.1× 11 394
Yujuan Lu China 8 306 2.0× 93 2.2× 6 0.2× 20 0.6× 5 0.2× 13 361
Elia T. Ben‐Ari United States 10 191 1.2× 40 0.9× 4 0.1× 10 0.3× 4 0.1× 27 352
H. Richard Fevold United States 12 138 0.9× 16 0.4× 10 0.3× 116 3.4× 4 0.1× 25 475

Countries citing papers authored by Rina Fujiwara

Since Specialization
Citations

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

Fields of papers citing papers by Rina Fujiwara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rina Fujiwara

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

All Works

10 of 10 papers shown
1.
Lukin, Jerónimo, Sebastián A. Giusti, Berta Pozzi, et al.. (2024). Influence of RNA circularity on Target RNA-Directed MicroRNA Degradation. Nucleic Acids Research. 52(6). 3358–3374. 6 indexed citations
2.
Fujiwara, Rina, et al.. (2019). The capping enzyme facilitates promoter escape and assembly of a follow-on preinitiation complex for reinitiation. Proceedings of the National Academy of Sciences. 116(45). 22573–22582. 15 indexed citations
3.
Fujiwara, Rina & Kenji Murakami. (2019). In vitro reconstitution of yeast RNA polymerase II transcription initiation with high efficiency. Methods. 159-160. 82–89. 7 indexed citations
5.
Feist, Peter E., Simone Sidoli, Xin Liu, et al.. (2017). Multicellular Tumor Spheroids Combined with Mass Spectrometric Histone Analysis To Evaluate Epigenetic Drugs. Analytical Chemistry. 89(5). 2773–2781. 27 indexed citations
6.
Sidoli, Simone, Rina Fujiwara, Katarzyna Kulej, & Benjamin A. García. (2016). Differential quantification of isobaric phosphopeptides using data-independent acquisition mass spectrometry. Molecular BioSystems. 12(8). 2385–2388. 10 indexed citations
7.
Sidoli, Simone, Rina Fujiwara, & Benjamin A. García. (2016). Multiplexed data independent acquisition (MSX‐DIA) applied by high resolution mass spectrometry improves quantification quality for the analysis of histone peptides. PROTEOMICS. 16(15-16). 2095–2105. 20 indexed citations
8.
Enright, Jennifer M., Matthew B. Toomey, Shinya Sato, et al.. (2015). Cyp27c1 Red-Shifts the Spectral Sensitivity of Photoreceptors by Converting Vitamin A1 into A2. Current Biology. 25(23). 3048–3057. 141 indexed citations
9.
Fujiwara, Rina, et al.. (2014). Mechanism-Based Inactivation of Human Cytochrome P450 3A4 by Two Piperazine-Containing Compounds. Drug Metabolism and Disposition. 42(12). 2087–2096. 3 indexed citations
10.
Nagy, Leslie D., et al.. (2013). Metoclopramide is metabolized by CYP2D6 and is a reversible inhibitor, but not inactivator, of CYP2D6. Xenobiotica. 44(4). 309–319. 34 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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