Charles J. Daniels

2.4k total citations
28 papers, 1.1k citations indexed

About

Charles J. Daniels is a scholar working on Molecular Biology, Genetics and Materials Chemistry. According to data from OpenAlex, Charles J. Daniels has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Materials Chemistry. Recurrent topics in Charles J. Daniels's work include RNA and protein synthesis mechanisms (19 papers), Genomics and Phylogenetic Studies (14 papers) and RNA modifications and cancer (12 papers). Charles J. Daniels is often cited by papers focused on RNA and protein synthesis mechanisms (19 papers), Genomics and Phylogenetic Studies (14 papers) and RNA modifications and cancer (12 papers). Charles J. Daniels collaborates with scholars based in United States, Germany and United Kingdom. Charles J. Daniels's co-authors include John N. Reeve, James W. Brown, J Konisky, Kathleen Sandman, David W. Armbruster, Dorothea K. Thompson, John R. Palmer, Karen M. Kleman-Leyer, Julie A. Maupin‐Furlow and Hong Li and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Bioinformatics.

In The Last Decade

Charles J. Daniels

27 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles J. Daniels United States 15 969 307 211 172 56 28 1.1k
Jodi Hirschman United States 13 709 0.7× 268 0.9× 81 0.4× 68 0.4× 126 2.3× 15 861
Benjamin Volkmer Switzerland 7 1.2k 1.2× 529 1.7× 160 0.8× 87 0.5× 29 0.5× 9 1.4k
Dominique Liger France 18 587 0.6× 117 0.4× 52 0.2× 145 0.8× 46 0.8× 29 750
Akiko Miura Japan 13 633 0.7× 330 1.1× 129 0.6× 43 0.3× 89 1.6× 25 840
Ruth Ehring Germany 19 730 0.8× 463 1.5× 130 0.6× 129 0.8× 98 1.8× 27 900
Takehide Kosuge Japan 17 503 0.5× 107 0.3× 102 0.5× 131 0.8× 98 1.8× 32 670
Mariette R. Atkinson United States 12 1.2k 1.2× 540 1.8× 110 0.5× 176 1.0× 260 4.6× 13 1.5k
Amin Espah Borujeni United States 10 1.0k 1.0× 342 1.1× 101 0.5× 39 0.2× 32 0.6× 10 1.1k
Д. А. Перумов Russia 12 781 0.8× 261 0.9× 84 0.4× 107 0.6× 40 0.7× 24 853
Ágnes Tóth-Petróczy Germany 18 1.2k 1.2× 209 0.7× 52 0.2× 279 1.6× 62 1.1× 34 1.4k

Countries citing papers authored by Charles J. Daniels

Since Specialization
Citations

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

Fields of papers citing papers by Charles J. Daniels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles J. Daniels

This figure shows the co-authorship network connecting the top 25 collaborators of Charles J. Daniels. A scholar is included among the top collaborators of Charles J. Daniels 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 Charles J. Daniels. Charles J. Daniels 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.
Hwang, Sungmin, Guangyin Zhou, Keely Dulmage, et al.. (2025). Genomic re-sequencing reveals mutational divergence across genetically engineered strains of model archaea. mSystems. 10(2). e0108424–e0108424. 2 indexed citations
2.
Daniels, Charles J., et al.. (2018). Both kinds of RNase P in all domains of life: surprises galore. RNA. 25(3). 286–291. 17 indexed citations
3.
Fischer, Susan M., et al.. (2012). Assigning a function to a conserved archaeal metallo-β-lactamase from Haloferax volcanii. Extremophiles. 16(2). 333–343. 5 indexed citations
4.
Hartman, Amber, Cédric Norais, Jonathan H. Badger, et al.. (2010). The Complete Genome Sequence of Haloferax volcanii DS2, a Model Archaeon. PLoS ONE. 5(3). e9605–e9605. 213 indexed citations
5.
Aittaleb, Mohamed, Rumana Rashid, Qiong Chen, et al.. (2003). Structure and function of archaeal box C/D sRNP core proteins. Nature Structural & Molecular Biology. 10(4). 256–263. 106 indexed citations
6.
Ray, William C., Robert S. Munson, & Charles J. Daniels. (2001). Tricross : using dot-plots in sequence-id space to detect uncataloged intergenic features. Bioinformatics. 17(12). 1105–1112. 3 indexed citations
7.
Thompson, Dorothea K., John R. Palmer, & Charles J. Daniels. (1999). Expression and heat‐responsive regulation of a TFIIB homologue from the archaeon Haloferax volcanii. Molecular Microbiology. 33(5). 1081–1092. 40 indexed citations
8.
Thompson, Dorothea K. & Charles J. Daniels. (1998). Heat shock inducibility of an archaeal TATA‐like promoter is controlled by adjacent sequence elements. Molecular Microbiology. 27(3). 541–551. 39 indexed citations
9.
Kleman-Leyer, Karen M., David W. Armbruster, & Charles J. Daniels. (1997). Properties of H. volcanii tRNA Intron Endonuclease Reveal a Relationship between the Archaeal and Eucaryal tRNA Intron Processing Systems. Cell. 89(6). 839–847. 87 indexed citations
10.
Reeve, John N., Kathleen Sandman, & Charles J. Daniels. (1997). Archaeal Histones, Nucleosomes, and Transcription Initiation. Cell. 89(7). 999–1002. 118 indexed citations
11.
Armbruster, David W. & Charles J. Daniels. (1997). Splicing of Intron-containing tRNATrp by the ArchaeonHaloferax volcanii Occurs Independent of Mature tRNA Structure. Journal of Biological Chemistry. 272(32). 19758–19762. 15 indexed citations
12.
Mahanti, Ambuj & Charles J. Daniels. (1993). A SIMD approach to parallel heuristic search. Artificial Intelligence. 60(2). 243–282. 22 indexed citations
13.
Daniels, Charles J., et al.. (1993). In vivo processing of an intron‐containing archael tRNA. Molecular Microbiology. 8(1). 93–99. 10 indexed citations
14.
Daniels, Charles J., et al.. (1992). Transfer RNA genes from the hyperthermophilic archaeon, Methanopyrus kandleri. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1132(3). 315–318. 13 indexed citations
15.
Mahanti, Ambuj & Charles J. Daniels. (1991). SIMD parallel heuristic search. 9 indexed citations
16.
Haas, Elizabeth S., James W. Brown, Charles J. Daniels, & John N. Reeve. (1990). Genes encoding the 7S RNA and tRNASer are linked to one of the two rRNA operons in the genome of the extremely thermophilic archaebacterium Methanothermus fervidus. Gene. 90(1). 51–59. 25 indexed citations
17.
Brown, James W., Charles J. Daniels, John N. Reeve, & J Konisky. (1989). Gene Structure, Organization, And Expression In Archaebacteria. PubMed. 16(4). 287–337. 211 indexed citations
18.
Thompson, L D, et al.. (1989). Transfer RNA intron processing in the halophilic archaebacteria. Canadian Journal of Microbiology. 35(1). 36–42. 31 indexed citations
19.
Haas, Elizabeth S., Charles J. Daniels, & John N. Reeve. (1989). Genes encoding 5S rRNA and tRNAs in the extremely thermophilic archaebacterium Methanothermus fervidus. Gene. 77(2). 253–263. 18 indexed citations
20.
Landick, Robert, James J. Anderson, Robert P. Gunsalus, et al.. (1980). Regulation of high‐affinity leucine transport in escherichia coli. Journal of Supramolecular Structure. 14(4). 527–537. 28 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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