Joseph D. Puglisi

17.3k total citations · 5 hit papers
173 papers, 13.3k citations indexed

About

Joseph D. Puglisi is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Joseph D. Puglisi has authored 173 papers receiving a total of 13.3k indexed citations (citations by other indexed papers that have themselves been cited), including 162 papers in Molecular Biology, 29 papers in Genetics and 18 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Joseph D. Puglisi's work include RNA and protein synthesis mechanisms (147 papers), RNA modifications and cancer (92 papers) and RNA Research and Splicing (47 papers). Joseph D. Puglisi is often cited by papers focused on RNA and protein synthesis mechanisms (147 papers), RNA modifications and cancer (92 papers) and RNA Research and Splicing (47 papers). Joseph D. Puglisi collaborates with scholars based in United States, France and Japan. Joseph D. Puglisi's co-authors include Scott C. Blanchard, Dominique Fourmy, Colin Echeverría Aitken, Ignacio Tinoco, Michael I. Recht, Ryan Marshall, Alexey Petrov, Peter J. Lukavsky, Jacqueline R. Wyatt and James R. Williamson and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Joseph D. Puglisi

170 papers receiving 13.1k citations

Hit Papers

Structure of the A Site of Escherichia coli 16 S Ribosoma... 1989 2026 2001 2013 1996 2007 1989 1992 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
Joseph D. Puglisi United States 61 11.8k 1.7k 1.2k 1.1k 608 173 13.3k
Gabriele Varani United States 60 12.4k 1.0× 722 0.4× 628 0.5× 691 0.6× 491 0.8× 208 14.2k
Douglas H. Turner United States 67 18.6k 1.6× 2.0k 1.2× 1.4k 1.1× 1.9k 1.7× 661 1.1× 248 20.8k
Steven J. Ludtke United States 59 9.7k 0.8× 1.3k 0.7× 663 0.6× 1.2k 1.1× 773 1.3× 138 13.7k
Lucas Pelkmans Switzerland 44 6.5k 0.5× 955 0.6× 359 0.3× 384 0.4× 752 1.2× 75 9.9k
David M.J. Lilley United Kingdom 74 18.1k 1.5× 3.1k 1.8× 304 0.3× 2.0k 1.8× 266 0.4× 350 19.8k
Clinton S. Potter United States 50 5.8k 0.5× 680 0.4× 257 0.2× 1.1k 1.0× 839 1.4× 133 9.7k
Olke C. Uhlenbeck United States 75 20.6k 1.7× 3.4k 2.0× 840 0.7× 3.0k 2.7× 796 1.3× 212 22.4k
Shawn Zheng United States 14 5.2k 0.4× 856 0.5× 466 0.4× 732 0.7× 931 1.5× 19 8.0k
Andrew P. Carter United Kingdom 36 7.8k 0.7× 1.9k 1.1× 723 0.6× 537 0.5× 648 1.1× 68 10.4k
Charles C. Richardson United States 57 8.7k 0.7× 3.8k 2.2× 413 0.3× 2.7k 2.5× 1.1k 1.8× 187 10.5k

Countries citing papers authored by Joseph D. Puglisi

Since Specialization
Citations

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

Fields of papers citing papers by Joseph D. Puglisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph D. Puglisi

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph D. Puglisi. A scholar is included among the top collaborators of Joseph D. Puglisi 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 D. Puglisi. Joseph D. Puglisi 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.
Grosely, Rosslyn, Carlos Alvarado, Ivaylo P. Ivanov, et al.. (2025). eIF1 and eIF5 dynamically control translation start site fidelity. Nature Structural & Molecular Biology. 32(11). 2308–2318. 3 indexed citations
2.
3.
Harish, Balasubramanian, Scott A. McCallum, Kevin P. Larsen, et al.. (2023). Pressure pushes tRNA Lys3 into excited conformational states. Proceedings of the National Academy of Sciences. 120(26). e2215556120–e2215556120. 2 indexed citations
4.
Krahn, Natalie, Jingji Zhang, Sergey Melnikov, et al.. (2023). tRNA shape is an identity element for an archaeal pyrrolysyl-tRNA synthetase from the human gut. Nucleic Acids Research. 52(2). 513–524. 11 indexed citations
5.
Schubert, Katharina, Evangelos D. Karousis, Christopher P. Lapointe, et al.. (2023). Universal features of Nsp1-mediated translational shutdown by coronaviruses. Molecular Cell. 83(19). 3546–3557.e8. 24 indexed citations
6.
Lapointe, Christopher P., Rosslyn Grosely, Masaaki Sokabe, et al.. (2022). eIF5B and eIF1A reorient initiator tRNA to allow ribosomal subunit joining. Nature. 607(7917). 185–190. 38 indexed citations
7.
Wang, Jinfan, et al.. (2021). Mechanisms that ensure speed and fidelity in eukaryotic translation termination. Science. 373(6557). 876–882. 37 indexed citations
8.
Lapointe, Christopher P., Rosslyn Grosely, Alex G. Johnson, et al.. (2021). Dynamic competition between SARS-CoV-2 NSP1 and mRNA on the human ribosome inhibits translation initiation. Proceedings of the National Academy of Sciences. 118(6). 119 indexed citations
9.
Johnson, Alex G., Ryan A. Flynn, Christopher P. Lapointe, et al.. (2020). A memory of eS25 loss drives resistance phenotypes. Nucleic Acids Research. 48(13). 7279–7297. 9 indexed citations
10.
Chandrasekaran, Viswanathan, Szymon Juszkiewicz, Junhong Choi, et al.. (2019). Mechanism of ribosome stalling during translation of a poly(A) tail. Nature Structural & Molecular Biology. 26(12). 1132–1140. 113 indexed citations
11.
Choi, Junhong, James Marks, Jingji Zhang, et al.. (2019). Dynamics of the context-specific translation arrest by chloramphenicol and linezolid. Nature Chemical Biology. 16(3). 310–317. 34 indexed citations
12.
Johnson, Alex G., Christopher P. Lapointe, Jinfan Wang, et al.. (2019). RACK1 on and off the ribosome. RNA. 25(7). 881–895. 39 indexed citations
13.
Duss, Olivier, Galina A. Stepanyuk, Annette Grot, et al.. (2018). Real-time assembly of ribonucleoprotein complexes on nascent RNA transcripts. Nature Communications. 9(1). 5087–5087. 39 indexed citations
14.
Kappel, Kalli, Shiheng Liu, Kevin P. Larsen, et al.. (2018). De novo computational RNA modeling into cryo-EM maps of large ribonucleoprotein complexes. Nature Methods. 15(11). 947–954. 48 indexed citations
15.
Chen, Jin, et al.. (2016). Amino acid sequence repertoire of the bacterial proteome and the occurrence of untranslatable sequences. Proceedings of the National Academy of Sciences. 113(26). 7166–7170. 14 indexed citations
16.
Tinoco, Ignacio, Kenneth Sauer, James C. Wang, & Joseph D. Puglisi. (2002). Physical chemistry : principles and applications in biological sciences : solutions manual. Prentice Hall eBooks. 5 indexed citations
17.
Puglisi, Joseph D. & James R. Williamson. (1999). 16 RNA Interaction with Small Ligands and Peptides. Cold Spring Harbor Monograph Archive. 37. 403–425. 7 indexed citations
18.
Puglisi, Elisabetta Viani & Joseph D. Puglisi. (1998). Nuclear Magnetic Resonance Spectroscopy of RNA. Cold Spring Harbor Monograph Archive. 35. 117–146. 1 indexed citations
19.
Puglisi, Joseph D. & Jacqueline R. Wyatt. (1995). [14] Biochemical and NMR studies of RNA conformation with an emphasis on RNA pseudoknots. Methods in enzymology on CD-ROM/Methods in enzymology. 261. 323–350. 50 indexed citations
20.
Giegé, Richard, Joseph D. Puglisi, & Catherine Florentz. (1993). tRNA Structure and Aminoacylation Efficiency. Progress in nucleic acid research and molecular biology. 45. 129–206. 185 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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