Joseph A. Piccirilli

9.5k total citations · 2 hit papers
173 papers, 7.1k citations indexed

About

Joseph A. Piccirilli is a scholar working on Molecular Biology, Organic Chemistry and Ecology. According to data from OpenAlex, Joseph A. Piccirilli has authored 173 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 162 papers in Molecular Biology, 17 papers in Organic Chemistry and 15 papers in Ecology. Recurrent topics in Joseph A. Piccirilli's work include RNA and protein synthesis mechanisms (122 papers), RNA modifications and cancer (72 papers) and DNA and Nucleic Acid Chemistry (69 papers). Joseph A. Piccirilli is often cited by papers focused on RNA and protein synthesis mechanisms (122 papers), RNA modifications and cancer (72 papers) and DNA and Nucleic Acid Chemistry (69 papers). Joseph A. Piccirilli collaborates with scholars based in United States, United Kingdom and Switzerland. Joseph A. Piccirilli's co-authors include Nan‐Sheng Li, Daniel Herschlag, Thomas R. Cech, John K. Frederiksen, Simon E. Moroney, Erik J. Sontheimer, Peter M. Gordon, Tilman Krauch, Qing Dai and Sengen Sun and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Joseph A. Piccirilli

170 papers receiving 7.0k citations

Hit Papers

Enzymatic incorporation of a new base pair into DNA and R... 1990 2026 2002 2014 1990 2019 100 200 300 400 500

Peers

Joseph A. Piccirilli
Philip C. Bevilacqua United States
J. H. VAN BOOM Netherlands
Nassim Usman United States
Marvin H. Caruthers United States
Juli Feigon United States
James B. Murray United Kingdom
Gary J. Quigley United States
Joseph A. Piccirilli
Citations per year, relative to Joseph A. Piccirilli Joseph A. Piccirilli (= 1×) peers Ronald Micura

Countries citing papers authored by Joseph A. Piccirilli

Since Specialization
Citations

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

Fields of papers citing papers by Joseph A. Piccirilli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph A. Piccirilli. 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 Joseph A. Piccirilli. The network helps show where Joseph A. Piccirilli may publish in the future.

Co-authorship network of co-authors of Joseph A. Piccirilli

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph A. Piccirilli. A scholar is included among the top collaborators of Joseph A. Piccirilli 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 Joseph A. Piccirilli. Joseph A. Piccirilli 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.
Nakano, Yuko, Howard Gamper, Jiatong Li, et al.. (2025). Genome-wide profiling of tRNA modifications by Induro-tRNAseq reveals coordinated changes. Nature Communications. 16(1). 1047–1047. 2 indexed citations
2.
Gamper, Howard, Thomas Christian, Robert Y. Henley, et al.. (2024). Post-transcriptional methylation of mitochondrial-tRNA differentially contributes to mitochondrial pathology. Nature Communications. 15(1). 9008–9008.
3.
Wilson, Timothy J., Şölen Ekesan, Timothy J. Giese, et al.. (2024). The Role of General Acid Catalysis in the Mechanism of an Alkyl Transferase Ribozyme. ACS Catalysis. 14(20). 15294–15305. 5 indexed citations
4.
Rice, Phoebe A., et al.. (2023). Crystal structure of a cap-independent translation enhancer RNA. Nucleic Acids Research. 51(16). 8891–8907. 6 indexed citations
5.
Liu, Di, et al.. (2022). Sub-3-Å cryo-EM structure of RNA enabled by engineered homomeric self-assembly. Nature Methods. 19(5). 576–585. 36 indexed citations
6.
Liu, Di, Yaming Shao, Joseph A. Piccirilli, & Yossi Weizmann. (2021). Structures of artificially designed discrete RNA nanoarchitectures at near-atomic resolution. Science Advances. 7(39). eabf4459–eabf4459. 3 indexed citations
7.
Liu, Di, Cody Geary, Gang Chen, et al.. (2020). Branched kissing loops for the construction of diverse RNA homooligomeric nanostructures. Nature Chemistry. 12(3). 249–259. 53 indexed citations
8.
Koirala, Deepak, Yaming Shao, Yelena Koldobskaya, et al.. (2019). A conserved RNA structural motif for organizing topology within picornaviral internal ribosome entry sites. Nature Communications. 10(1). 3629–3629. 18 indexed citations
9.
Hoshika, Shuichi, Nicole A. Leal, Myong‐Jung Kim, et al.. (2019). Hachimoji DNA and RNA: A genetic system with eight building blocks. Science. 363(6429). 884–887. 330 indexed citations breakdown →
10.
Sundaram, Karthik M., Yilin Zhang, Anirban Mitra, et al.. (2017). Prolactin Receptor–Mediated Internalization of Imaging Agents Detects Epithelial Ovarian Cancer with Enhanced Sensitivity and Specificity. Cancer Research. 77(7). 1684–1696. 14 indexed citations
11.
Harris, Michael E., Darrin M. York, Joseph A. Piccirilli, & Vernon Anderson. (2017). Kinetic Isotope Effect Analysis of RNA 2′- O -Transphosphorylation. Methods in enzymology on CD-ROM/Methods in enzymology. 596. 433–457. 3 indexed citations
12.
Gu, Hong, Shuming Zhang, K. Y. Wong, et al.. (2013). Experimental and computational analysis of the transition state for ribonuclease A-catalyzed RNA 2′- O -transphosphorylation. Proceedings of the National Academy of Sciences. 110(32). 13002–13007. 59 indexed citations
13.
Sakaguchi, Reiko, Qing Dai, Zita Liutkevičiūtė, et al.. (2012). Recognition of guanosine by dissimilar tRNA methyltransferases. RNA. 18(9). 1687–1701. 28 indexed citations
14.
Wilson, Timothy J., Nan‐Sheng Li, Jun Lu, et al.. (2010). Nucleobase-mediated general acid-base catalysis in the Varkud satellite ribozyme. Proceedings of the National Academy of Sciences. 107(26). 11751–11756. 64 indexed citations
15.
Scharf, Louise, Nan‐Sheng Li, Tejia Zhang, et al.. (2010). The 2.5 Å Structure of CD1c in Complex with a Mycobacterial Lipid Reveals an Open Groove Ideally Suited for Diverse Antigen Presentation. Immunity. 33(6). 853–862. 90 indexed citations
16.
Shechner, David M, Robert A. Grant, Sarah C. Bagby, et al.. (2009). Crystal Structure of the Catalytic Core of an RNA-Polymerase Ribozyme. Science. 326(5957). 1271–1275. 100 indexed citations
17.
Lu, Jun, Nan‐Sheng Li, Selene C. Koo, & Joseph A. Piccirilli. (2009). Synthesis of Pyridine, Pyrimidine and Pyridinone C -Nucleoside Phosphoramidites for Probing Cytosine Function in RNA. The Journal of Organic Chemistry. 74(21). 8021–8030. 24 indexed citations
18.
Das, Rhiju, Magdalena Jonikas, Alain Laederach, et al.. (2008). Structural inference of native and partially folded RNA by high-throughput contact mapping. Proceedings of the National Academy of Sciences. 105(11). 4144–4149. 72 indexed citations
19.
Ye, Jing‐Dong, Valentina Tereshko, John K. Frederiksen, et al.. (2007). Synthetic antibodies for specific recognition and crystallization of structured RNA. Proceedings of the National Academy of Sciences. 105(1). 82–87. 111 indexed citations
20.
Hougland, James L., et al.. (2006). 6 How the Group I Intron Works: A Case Study of RNA Structure and Function. Cold Spring Harbor Monograph Archive. 43. 133–205. 42 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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