Arthur J. Zaug

9.6k total citations · 4 hit papers
48 papers, 7.3k citations indexed

About

Arthur J. Zaug is a scholar working on Molecular Biology, Physiology and Ecology. According to data from OpenAlex, Arthur J. Zaug has authored 48 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 22 papers in Physiology and 8 papers in Ecology. Recurrent topics in Arthur J. Zaug's work include Telomeres, Telomerase, and Senescence (22 papers), RNA modifications and cancer (19 papers) and RNA and protein synthesis mechanisms (17 papers). Arthur J. Zaug is often cited by papers focused on Telomeres, Telomerase, and Senescence (22 papers), RNA modifications and cancer (19 papers) and RNA and protein synthesis mechanisms (17 papers). Arthur J. Zaug collaborates with scholars based in United States, Australia and Israel. Arthur J. Zaug's co-authors include Thomas R. Cech, Paula J. Grabowski, Daniel E. Gottschling, Kelly Kruger, Elaine R. Podell, Ming Lei, Michael D. Been, Thomas R. Cech, Yuting Yang and Feng Wang and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Arthur J. Zaug

48 papers receiving 7.1k citations

Hit Papers

Self-splicing RNA: Autoex... 1981 2026 1996 2011 1982 1981 2007 1986 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arthur J. Zaug United States 36 6.5k 2.0k 768 691 492 48 7.3k
Thomas R. Cech United States 22 5.0k 0.8× 431 0.2× 573 0.7× 404 0.6× 138 0.3× 27 5.4k
Nancy Maizels United States 50 7.8k 1.2× 241 0.1× 436 0.6× 889 1.3× 116 0.2× 130 8.9k
Robert L. Ratliff United States 34 5.2k 0.8× 1.6k 0.8× 571 0.7× 888 1.3× 19 0.0× 79 7.0k
Alan M. Weiner United States 50 8.0k 1.2× 165 0.1× 439 0.6× 1.3k 1.8× 175 0.4× 113 9.1k
Paula J. Grabowski United States 34 7.6k 1.2× 128 0.1× 429 0.6× 719 1.0× 336 0.7× 47 8.4k
Susan M. Freier United States 53 14.3k 2.2× 347 0.2× 741 1.0× 850 1.2× 95 0.2× 96 16.1k
Aidan J. Doherty United Kingdom 46 5.9k 0.9× 159 0.1× 448 0.6× 1.4k 2.0× 44 0.1× 96 6.7k
José B. Pereira‐Leal Portugal 33 3.7k 0.6× 269 0.1× 326 0.4× 629 0.9× 16 0.0× 69 4.9k
Stephen H. McLaughlin United Kingdom 36 3.3k 0.5× 136 0.1× 142 0.2× 354 0.5× 58 0.1× 74 4.0k
Tomoo Funayama Japan 26 959 0.1× 348 0.2× 118 0.2× 211 0.3× 45 0.1× 100 2.3k

Countries citing papers authored by Arthur J. Zaug

Since Specialization
Citations

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

Fields of papers citing papers by Arthur J. Zaug

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arthur J. Zaug. 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 Arthur J. Zaug. The network helps show where Arthur J. Zaug may publish in the future.

Co-authorship network of co-authors of Arthur J. Zaug

This figure shows the co-authorship network connecting the top 25 collaborators of Arthur J. Zaug. A scholar is included among the top collaborators of Arthur J. Zaug 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 Arthur J. Zaug. Arthur J. Zaug 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.
Takai, Hiroyuki, et al.. (2024). POT1 recruits and regulates CST-Polα/primase at human telomeres. Cell. 187(14). 3638–3651.e18. 8 indexed citations
2.
Zaug, Arthur J., et al.. (2022). Reconstitution of a telomeric replicon organized by CST. Nature. 608(7924). 819–825. 35 indexed citations
3.
Zaug, Arthur J., et al.. (2021). CST does not evict elongating telomerase but prevents initiation by ssDNA binding. Nucleic Acids Research. 49(20). 11653–11665. 22 indexed citations
4.
Lim, Ci Ji, et al.. (2020). The structure of human CST reveals a decameric assembly bound to telomeric DNA. Science. 368(6495). 1081–1085. 68 indexed citations
5.
Schmidt, Jens C., Arthur J. Zaug, & Thomas R. Cech. (2016). Live Cell Imaging Reveals the Dynamics of Telomerase Recruitment to Telomeres. Cell. 166(5). 1188–1197.e9. 138 indexed citations
6.
Xi, Linghe, et al.. (2015). A novel two-step genome editing strategy with CRISPR-Cas9 provides new insights into telomerase action and TERT gene expression. Genome biology. 16(1). 231–231. 82 indexed citations
7.
Zaug, Arthur J., et al.. (2013). Many disease-associated variants of hTERT retain high telomerase enzymatic activity. Nucleic Acids Research. 41(19). 8969–8978. 56 indexed citations
8.
Nandakumar, Jayakrishnan, Caitlin Bell, Ina Weidenfeld, et al.. (2012). The TEL patch of telomere protein TPP1 mediates telomerase recruitment and processivity. Nature. 492(7428). 285–289. 267 indexed citations
9.
Batista, Luís F.Z., Matthew F. Pech, Franklin L. Zhong, et al.. (2011). Telomere shortening and loss of self-renewal in dyskeratosis congenita induced pluripotent stem cells. Nature. 474(7351). 399–402. 207 indexed citations
10.
Zaug, Arthur J., Elaine R. Podell, & Thomas R. Cech. (2008). Mutation in TERT separates processivity from anchor-site function. Nature Structural & Molecular Biology. 15(8). 870–872. 49 indexed citations
11.
Lei, Ming, Arthur J. Zaug, Elaine R. Podell, & Thomas R. Cech. (2005). Switching Human Telomerase On and Off with hPOT1 Protein in Vitro. Journal of Biological Chemistry. 280(21). 20449–20456. 135 indexed citations
12.
Seto, Anita G., et al.. (1999). Saccharomyces cerevisiae telomerase is an Sm small nuclear ribonucleoprotein particle. Nature. 401(6749). 177–180. 232 indexed citations
13.
Zaug, Arthur J. & Thomas R. Cech. (1995). Analysis of the structure of Tetrahymena nuclear RNAs in vivo: telomerase RNA, the self-splicing rRNA intron, and U2 snRNA.. PubMed. 1(4). 363–74. 154 indexed citations
14.
Zaug, Arthur J., et al.. (1994). Catalysis of RNA Cleavage by a Ribozyme Derived from the Group I Intron of Anabaena Pre-tRNALeu. Biochemistry. 33(49). 14935–14947. 28 indexed citations
15.
Zaug, Arthur J., Megan M. McEvoy, & Thomas R. Cech. (1993). Self-splicing of the group I intron from Anabaena pre-tRNA: Requirement for base-pairing of the exons in the anticodon stem. Biochemistry. 32(31). 7946–7953. 51 indexed citations
16.
Piccirilli, Joseph A., Timothy McConnell, Arthur J. Zaug, Harry F. Noller, & Thomas R. Cech. (1992). Aminoacyl Esterase Activity of the Tetrahymena Ribozyme. Science. 256(5062). 1420–1424. 141 indexed citations
18.
Been, Michael D., James M. Burke, James V. Price, et al.. (1987). Structures Involved in Tetrahymena rRNA Self-splicing and RNA Enzyme Activity. Cold Spring Harbor Symposia on Quantitative Biology. 52(0). 147–157. 37 indexed citations
19.
Zaug, Arthur J. & Thomas R. Cech. (1980). In vitro splicing of the ribosomal RNA precursor in nuclei of tetrahymena. Cell. 19(2). 331–338. 87 indexed citations
20.
Allewell, Norma M., Glen E. Hofmann, Arthur J. Zaug, & Michael Lennick. (1979). Bohr effect of Escherichia coli aspartate transcarbamylase. Linkages between substrate binding, proton binding, and conformational transitions. Biochemistry. 18(14). 3008–3015. 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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