Jon K. deRiel

2.2k total citations · 1 hit paper
23 papers, 1.9k citations indexed

About

Jon K. deRiel is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jon K. deRiel has authored 23 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jon K. deRiel's work include DNA and Nucleic Acid Chemistry (7 papers), RNA modifications and cancer (6 papers) and RNA Interference and Gene Delivery (5 papers). Jon K. deRiel is often cited by papers focused on DNA and Nucleic Acid Chemistry (7 papers), RNA modifications and cancer (6 papers) and RNA Interference and Gene Delivery (5 papers). Jon K. deRiel collaborates with scholars based in United States and Sweden. Jon K. deRiel's co-authors include Bernard G. Forget, S M Weissman, Argiris Efstratiadis, John T. Wilson, Lois B. Wilson, James C. Wurzer, Michael A. Sirover, Gita Seal, Katherine L. Meyer‐Siegler and Lydia Villa‐Komaroff and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Jon K. deRiel

23 papers receiving 1.7k citations

Hit Papers

The Structure and Evolution of the Human /?-Globin Gene F... 1980 2026 1995 2010 1980 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jon K. deRiel United States 16 1.3k 499 279 270 256 23 1.9k
G. Huez Belgium 26 1.6k 1.2× 236 0.5× 93 0.3× 333 1.2× 227 0.9× 50 2.5k
K. Olek Germany 25 1.1k 0.9× 215 0.4× 60 0.2× 963 3.6× 282 1.1× 103 2.2k
Shi‐Hsiang Shen Canada 27 2.0k 1.6× 155 0.3× 79 0.3× 97 0.4× 150 0.6× 46 2.7k
Antonella Ronchi Italy 24 1.4k 1.1× 325 0.7× 49 0.2× 205 0.8× 197 0.8× 51 1.9k
D E Woods United States 18 852 0.7× 142 0.3× 50 0.2× 261 1.0× 244 1.0× 26 1.6k
Luı́sa Romão Portugal 24 1.4k 1.1× 344 0.7× 38 0.1× 257 1.0× 169 0.7× 56 1.9k
John Coadwell United Kingdom 24 2.3k 1.8× 221 0.4× 154 0.6× 95 0.4× 160 0.6× 38 3.3k
Menie Merika United States 15 2.3k 1.8× 122 0.2× 85 0.3× 154 0.6× 382 1.5× 15 3.1k
Kerry Kelleher United States 18 831 0.7× 78 0.2× 86 0.3× 188 0.7× 131 0.5× 26 1.8k
K. Bender Germany 21 609 0.5× 80 0.2× 57 0.2× 142 0.5× 371 1.4× 82 1.2k

Countries citing papers authored by Jon K. deRiel

Since Specialization
Citations

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

Fields of papers citing papers by Jon K. deRiel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon K. deRiel. 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 Jon K. deRiel. The network helps show where Jon K. deRiel may publish in the future.

Co-authorship network of co-authors of Jon K. deRiel

This figure shows the co-authorship network connecting the top 25 collaborators of Jon K. deRiel. A scholar is included among the top collaborators of Jon K. deRiel 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 Jon K. deRiel. Jon K. deRiel 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
2.
Liu, Jinglan, et al.. (2009). Chromosome 6 Encoded RNaseT2 Protein is a Cell Growth Regulator. Journal of Cellular and Molecular Medicine. 14(5). 1146–55. 9 indexed citations
3.
deRiel, Jon K., et al.. (2002). Characterization of cardiac muscle factor 1 sequence motifs: retinoblastoma protein binding and nuclear localization. Gene. 282(1-2). 53–64. 8 indexed citations
4.
Sandhu, Arbansjit K., et al.. (1999). Identification of a gene at 16q24.3 that restores cellular senescence in immortal mammary tumor cells. Oncogene. 18(36). 5100–5107. 18 indexed citations
5.
deRiel, Jon K., et al.. (1993). Properties of an Xeroderma Pigmentosum Revertant Cell Line Expressing Endonuclease V. Biochemical and Biophysical Research Communications. 190(1). 111–117. 2 indexed citations
6.
Green, Anthony P., Jon K. deRiel, & Earl E. Henderson. (1993). Structure/function analysis of the Ala116← Lys121region of endonuclease V by random targeted mutagenesis. Nucleic Acids Research. 21(3). 727–732. 3 indexed citations
7.
Zhu, Jiye, et al.. (1993). Molecular cloning and expression of a rat κ opioid receptor. Biochemical Journal. 295(3). 629–633. 158 indexed citations
8.
Meyer‐Siegler, Katherine L., et al.. (1991). A human nuclear uracil DNA glycosylase is the 37-kDa subunit of glyceraldehyde-3-phosphate dehydrogenase.. Proceedings of the National Academy of Sciences. 88(19). 8460–8464. 298 indexed citations
9.
Valerie, Kristoffer, Earl E. Henderson, & Jon K. deRiel. (1984). Identification, physical map location and sequence of theden Vgene from bacteriophage T4. Nucleic Acids Research. 12(21). 8085–8096. 67 indexed citations
10.
Mineura, Katsuyoshi, et al.. (1983). Enzymic detection of uracil in a cloned and sequenced deoxyribonucleic acid segment. Biochemistry. 22(19). 4501–4507. 37 indexed citations
11.
Cohen‐Solal, Michel, et al.. (1982). Cloning and Nucleotide Sequence Analysis of Human Embryonic ζ-Globin cDNA. DNA. 1(4). 355–363. 16 indexed citations
12.
Spritz, Richard A., Pudur Jagadeeswaran, Prabhakara V. Choudary, et al.. (1981). Base substitution in an intervening sequence of a beta+-thalassemic human globin gene.. Proceedings of the National Academy of Sciences. 78(4). 2455–2459. 202 indexed citations
13.
Forget, Bernard G., et al.. (1980). Nucleotide sequence of human Gγ globin messenger RNA. Gene. 12(3-4). 215–221. 12 indexed citations
14.
Hsiung, Nancy, Hans M. Warrick, Jon K. deRiel, et al.. (1980). Cotransfer of circular and linear prokaryotic and eukaryotic DNA sequences into mouse cells.. Proceedings of the National Academy of Sciences. 77(8). 4852–4856. 18 indexed citations
15.
Wilson, John T., Lois B. Wilson, V. B. Reddy Lachagari, et al.. (1980). Nucleotide sequence of the coding portion of human alpha globin messenger RNA.. Journal of Biological Chemistry. 255(7). 2807–2815. 51 indexed citations
16.
Tuan, Dorothy, Mary Jo Murnane, Jon K. deRiel, & Bernard G. Forget. (1980). Heterogeneity in the molecular basis of hereditary persistence of fetal haemoglobin. Nature. 285(5763). 335–337. 83 indexed citations
17.
Tuan, Dorothy, P A Biro, Jon K. deRiel, Herbert Lazarus, & Bernard G. Forget. (1979). Restriction endonuclease mapping of the human γ globin gene loci. Nucleic Acids Research. 6(7). 2519–2544. 110 indexed citations
18.
Wilson, John T., Lois B. Wilson, Jon K. deRiel, et al.. (1978). Insertion of synthetic copies of human globin genes into bacterial plasmids. Nucleic Acids Research. 5(2). 563–581. 321 indexed citations
19.
Wilson, John T., Jon K. deRiel, Bernard G. Forget, Charles A. Marotta, & S M Weissman. (1977). Nucleotide sequence of 3' untranslated portion of human alpha globin mRNA. Nucleic Acids Research. 4(7). 2353–2368. 35 indexed citations
20.
Paulus, Henry & Jon K. deRiel. (1975). Absence of kinetic negative co-operativity in the allosteric model of Monod, Wyman and Changeux. Journal of Molecular Biology. 97(4). 667–671. 11 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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