Daniel J. Charles

502 total citations
24 papers, 404 citations indexed

About

Daniel J. Charles is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Daniel J. Charles has authored 24 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Surgery. Recurrent topics in Daniel J. Charles's work include Erythrocyte Function and Pathophysiology (5 papers), Pancreatic function and diabetes (4 papers) and Advanced Proteomics Techniques and Applications (3 papers). Daniel J. Charles is often cited by papers focused on Erythrocyte Function and Pathophysiology (5 papers), Pancreatic function and diabetes (4 papers) and Advanced Proteomics Techniques and Applications (3 papers). Daniel J. Charles collaborates with scholars based in United States, Germany and United Kingdom. Daniel J. Charles's co-authors include Walter Pretsch, Chi‐Yu Lee, Jana Kratochvílová, U.H. Ehling, A. Neuhäuser-Klaus, Jack Favor, Jochen Graw, D Bronson, Michaël C. Fontaine and Michael D. W. Griffin and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Bacteriology and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Daniel J. Charles

23 papers receiving 342 citations

Peers

Daniel J. Charles

GENET

PHYSI

PPCH

J. Szpirer Belgium

W. J. Craigen United States

Michol Crist United States

Daniel V. Maravei United States

Hena Alam United States

S Ohtaki Japan

Y Haraguchi Japan

G. G. Wendt Germany

Izumi Akaboshi Japan

Frank J. Swartz United States

J. Szpirer Belgium

Daniel J. Charles

305 ×1.2

162 ×1.5

GENET

40 ×0.6

PHYSI

20 ×0.3

PPCH

29 ×0.6

Citations per year, relative to Daniel J. Charles Daniel J. Charles (= 1×) peers J. Szpirer

Countries citing papers authored by Daniel J. Charles

Since Specialization

Citations

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

Fields of papers citing papers by Daniel J. Charles

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Charles. A scholar is included among the top collaborators of Daniel J. Charles 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 Daniel J. Charles. Daniel J. Charles is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Moore, Karen J., et al.. (1991). The liver/erythrocyte pyruvate kinase gene complex [Pk-1] in the mouse: regulatory gene mutations. Genetics Research. 58(3). 233–241. 1 indexed citations

Shields, P P, Daniel J. Charles, David J. Merkler, et al.. (1991). Production of recombinant calcitonin gene related peptide by in vitro amidation of an E. coli produced peptide. Regulatory Peptides. 34(2). 93–93. 2 indexed citations

Tamburini, Paul P., James A. Koehn, James P. Gilligan, et al.. (1989). Rat vascular tissue contains a neutral endopeptidase capable of degrading atrial natriuretic peptide.. Journal of Pharmacology and Experimental Therapeutics. 251(3). 956–961. 23 indexed citations

Charles, Daniel J., et al.. (1988). X-linked glucose-6-phosphate dehydrogenase deficiency inMus musculus. Biochemical Genetics. 26(1-2). 89–103. 57 indexed citations

Charles, Daniel J. & Walter Pretsch. (1987). Linear dose-response relationship of erythrocyte enzyme-activity mutations in offspring of ethylnitrosourea-treated mice. Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis. 176(1). 81–91. 42 indexed citations

Pretsch, Walter, et al.. (1987). Mechanisms of compensation of hemolytic anemia in a lactate dehydrogenase mouse mutant.. PubMed. 15(6). 664–70. 16 indexed citations

Charles, Daniel J. & Walter Pretsch. (1986). Enzyme-activity mutations detected in mice after paternal fractionated irradiation. Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis. 160(3). 243–248. 26 indexed citations

Ehling, U.H., Daniel J. Charles, Jack Favor, et al.. (1985). Induction of gene mutations in mice: The multiple endpoint approach. Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis. 150(1-2). 393–401. 73 indexed citations

Pretsch, Walter & Daniel J. Charles. (1984). An inherited variant of mouse sn-glycerol-3-phosphate dehydrogenase detected by isoelectric focusing: Genetical and biochemical analyses. Biochemical Genetics. 22(5-6). 419–428. 1 indexed citations

10.

Charles, Daniel J. & Walter Pretsch. (1984). A new pyruvate kinase mutation with hyperactivity in the mouse. Biochemical Genetics. 22(11-12). 1103–1117. 6 indexed citations

11.

Charles, Daniel J. & Walter Pretsch. (1984). Dose-response relationship of ENU-induced enzyme activity mutants. Mutation Research/Environmental Mutagenesis and Related Subjects. 130(3). 167–167. 1 indexed citations

12.

Pretsch, Walter & Daniel J. Charles. (1983). Detection of enzyme mutants in mice by isoelectric focusing. Abstr.. The Mouseion at the JAXlibrary (Jackson Laboratory). 308. 4 indexed citations

13.

Pretsch, Walter, et al.. (1982). The agar contact replica technique after isoelectric focusing as a screening method for the detection of enzyme variants. Electrophoresis. 3(3). 142–145. 15 indexed citations

14.

Charles, Daniel J. & Walter Pretsch. (1982). Activity measurements of erythrocyte enzymes in mice. Detection of a new class of gene mutations. Mutation Research/Environmental Mutagenesis and Related Subjects. 97(3). 177–178. 12 indexed citations

15.

Pretsch, Walter & Daniel J. Charles. (1981). Detection of gene mutations by isoelectric focusing after mouse treatment with procarbazine hydrochloride. Mutation Research/Environmental Mutagenesis and Related Subjects. 85(4). 292–293. 1 indexed citations

16.

Charles, Daniel J. & Walter Pretsch. (1981). A mutation affecting the lactate dehydrogenase locus Ldh-1 in the mouse?I. Genetical and electrophoretical characterization. Biochemical Genetics. 19(3-4). 301–309. 24 indexed citations

17.

Charles, Daniel J. & Chi‐Yu Lee. (1980). Biochemical and immunological characterization of genetic variants of phosphoglucose isomerase from mouse. Biochemical Genetics. 18(1-2). 153–169. 11 indexed citations

18.

Charles, Daniel J. & Chi‐Yu Lee. (1980). Biochemical characterization of phosphoglucose isomerase and genetic variants from mouse and Drosophila melanogaster. Molecular and Cellular Biochemistry. 29(1). 11–21. 11 indexed citations

19.

Charles, Daniel J., et al.. (1979). Biochemical analyses of natural and induced null variants of Drosophila enzymes.. Journal of Biological Chemistry. 254(14). 6375–6381. 12 indexed citations

20.

Lee, Chi-Yu, et al.. (1977). Principles of multienzyme purifications by affinity chromatography. 2(3). 213–224. 7 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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