U. Thomas Meier

4.3k total citations · 1 hit paper
62 papers, 3.5k citations indexed

About

U. Thomas Meier is a scholar working on Molecular Biology, Immunology and Reproductive Medicine. According to data from OpenAlex, U. Thomas Meier has authored 62 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 10 papers in Immunology and 10 papers in Reproductive Medicine. Recurrent topics in U. Thomas Meier's work include RNA Research and Splicing (24 papers), RNA and protein synthesis mechanisms (18 papers) and RNA modifications and cancer (17 papers). U. Thomas Meier is often cited by papers focused on RNA Research and Splicing (24 papers), RNA and protein synthesis mechanisms (18 papers) and RNA modifications and cancer (17 papers). U. Thomas Meier collaborates with scholars based in United States, Switzerland and France. U. Thomas Meier's co-authors include Günter Blobel, Chen Wang, G Blobel, Urs Meyer, Yunfeng Yang, Nupur Kittur, Yi‐Tao Yu, Beat H. Meier, Sujayita Roy and Thomas Kronbach and has published in prestigious journals such as Cell, Physical Review Letters and Nucleic Acids Research.

In The Last Decade

U. Thomas Meier

61 papers receiving 3.4k citations

Hit Papers

Nopp 140 shuttles on tracks between nucleolus and cytoplasm 1992 2026 2003 2014 1992 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
U. Thomas Meier United States 30 2.6k 442 275 260 251 62 3.5k
Yvonne Lange United States 45 4.0k 1.6× 1.0k 2.3× 89 0.3× 539 2.1× 220 0.9× 90 5.5k
John Karanicolas United States 29 3.6k 1.4× 457 1.0× 35 0.1× 256 1.0× 244 1.0× 66 4.3k
Arun Radhakrishnan United States 34 3.9k 1.5× 862 2.0× 60 0.2× 356 1.4× 415 1.7× 77 5.7k
Andrew N. Krutchinsky United States 27 3.2k 1.3× 602 1.4× 30 0.1× 248 1.0× 62 0.2× 42 4.4k
Paul A. Rejto United States 29 1.7k 0.7× 78 0.2× 90 0.3× 490 1.9× 91 0.4× 68 2.7k
Elan Eisenmesser United States 30 3.3k 1.3× 305 0.7× 28 0.1× 366 1.4× 265 1.1× 76 4.5k
Carla Mattos United States 33 3.9k 1.5× 116 0.3× 50 0.2× 741 2.9× 102 0.4× 67 4.7k
A.E. Miele Italy 26 1.8k 0.7× 216 0.5× 61 0.2× 122 0.5× 69 0.3× 58 2.4k
Manuel Baca Australia 30 1.8k 0.7× 109 0.2× 307 1.1× 1.4k 5.5× 46 0.2× 63 3.6k
Richard Blevins United States 12 2.5k 1.0× 149 0.3× 43 0.2× 412 1.6× 48 0.2× 15 3.3k

Countries citing papers authored by U. Thomas Meier

Since Specialization
Citations

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

Fields of papers citing papers by U. Thomas Meier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by U. Thomas Meier. 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 U. Thomas Meier. The network helps show where U. Thomas Meier may publish in the future.

Co-authorship network of co-authors of U. Thomas Meier

This figure shows the co-authorship network connecting the top 25 collaborators of U. Thomas Meier. A scholar is included among the top collaborators of U. Thomas Meier 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 U. Thomas Meier. U. Thomas Meier 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.
Meier, U. Thomas. (2022). The daunting task of modifying ribosomal RNA. RNA. 28(12). rna.079391.122–rna.079391.122. 7 indexed citations
3.
Bizarro, Jonathan, Svetlana Deryusheva, Ludivine Wacheul, et al.. (2021). Nopp140-chaperoned 2′-O-methylation of small nuclear RNAs in Cajal bodies ensures splicing fidelity. Genes & Development. 35(15-16). 1123–1141. 14 indexed citations
4.
Bizarro, Jonathan, Amit Bhardwaj, Susan Smith, & U. Thomas Meier. (2019). Nopp140-mediated concentration of telomerase in Cajal bodies regulates telomere length. Molecular Biology of the Cell. 30(26). 3136–3150. 18 indexed citations
5.
Yu, Yi‐Tao & U. Thomas Meier. (2014). RNA-guided isomerization of uridine to pseudouridine—pseudouridylation. RNA Biology. 11(12). 1483–1494. 108 indexed citations
6.
Nejat, Edward J., Maria Ruíz-Alonso, Carlos Simón, & U. Thomas Meier. (2014). Timing the window of implantation by nucleolar channel system prevalence matches the accuracy of the endometrial receptivity array. Fertility and Sterility. 102(5). 1477–1481. 8 indexed citations
7.
Nejat, Edward J., et al.. (2014). Progesterone Threshold Determines Nucleolar Channel System Formation in Human Endometrium. Reproductive Sciences. 21(7). 915–920. 9 indexed citations
8.
Machado-Pinilla, Rosario, Dominique Liger, Nicolas Leulliot, & U. Thomas Meier. (2012). Mechanism of the AAA+ ATPases pontin and reptin in the biogenesis of H/ACA RNPs. RNA. 18(10). 1833–1845. 69 indexed citations
9.
Nejat, Edward J., Erika Banks, Kathleen D. Whitney, et al.. (2012). Quantification of nucleolar channel systems: uniform presence throughout the upper endometrial cavity. Fertility and Sterility. 99(2). 558–564. 5 indexed citations
10.
Scharf, Andrea, Petar N. Grozdanov, R. Veith, et al.. (2011). Distant positioning of proteasomal proteolysis relative to actively transcribed genes. Nucleic Acids Research. 39(11). 4612–4627. 5 indexed citations
11.
Rausch, Mary, Victor E. Beshay, Alex J. Polotsky, et al.. (2010). The nucleolar channel system reliably marks the midluteal endometrium regardless of fertility status: a fresh look at an old organelle. Fertility and Sterility. 95(4). 1385–1389.e1. 11 indexed citations
12.
Grozdanov, Petar N., Sujayita Roy, Nupur Kittur, & U. Thomas Meier. (2009). SHQ1 is required prior to NAF1 for assembly of H/ACA small nucleolar and telomerase RNPs. RNA. 15(6). 1188–1197. 86 indexed citations
13.
Kittur, Nupur, Xavier Darzacq, Sujayita Roy, Robert H. Singer, & U. Thomas Meier. (2006). Dynamic association and localization of human H/ACA RNP proteins. RNA. 12(12). 2057–2062. 25 indexed citations
14.
Meier, U. Thomas. (2005). The many facets of H/ACA ribonucleoproteins. Chromosoma. 114(1). 1–14. 221 indexed citations
15.
Wang, Chen, Charles C. Query, & U. Thomas Meier. (2002). Immunopurified Small Nucleolar Ribonucleoprotein Particles Pseudouridylate rRNA Independently of Their Association with Phosphorylated Nopp140. Molecular and Cellular Biology. 22(24). 8457–8466. 59 indexed citations
16.
Yang, Yunfeng, et al.. (2000). Conserved Composition of Mammalian Box H/ACA and Box C/D Small Nucleolar Ribonucleoprotein Particles and Their Interaction with the Common Factor Nopp140. Molecular Biology of the Cell. 11(2). 567–577. 97 indexed citations
17.
Dundr, Miroslav, U. Thomas Meier, Nancy J. Lewis, et al.. (1997). A class of nonribosomal nucleolar components is located in chromosome periphery and in nucleolus-derived foci during anaphase and telophase. Chromosoma. 105(7-8). 407–417. 74 indexed citations
18.
Li, Dongxia, U. Thomas Meier, Grażyna Dobrowolska, & Edwin G. Krebs. (1997). Specific Interaction between Casein Kinase 2 and the Nucleolar Protein Nopp140. Journal of Biological Chemistry. 272(6). 3773–3779. 91 indexed citations
19.
Meier, U. Thomas & Günter Blobel. (1992). Nopp 140 shuttles on tracks between nucleolus and cytoplasm. Cell. 70(1). 127–138. 350 indexed citations breakdown →

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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