Daniel J. Charles

502 citations
24 papers · 404 · h-index 12

Impact in

Papers in

    • Molecular Biology Techniques and Applications 3
    • CRISPR and Genetic Engineering 3
    • bioluminescence and chemiluminescence research 2
    • Animal Genetics and Reproduction 3
    • Hemoglobinopathies and Related Disorders 2

Daniel J. Charles

23 papers receiving 342 citations

Peers

Daniel J. Charles
Comparison fields: 5 of 74
  • Aging 8
  • Molecular Biology 263
  • Genetics 106
  • Pediatrics, Perinatology and Child Health 60
  • Cancer Research 45
Replace Richard L. Mallonee with:
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Daniel J. Charles relative to Richard L. Mallonee United States Richard L. Mallonee's profile →
Citations per field
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Richard L. Mallonee · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniel J. Charles, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel J. Charles Line = papers co-authored together Daniel J. Charles links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198573
2 198857
3 198742
4 197629
5 198626
6 198124
7 198923
8 197918
9
Mechanisms of compensation of hemolytic anemia in a lactate dehydrogenase mouse mutant.
198716
10 198215
11 197912
12 198212
13 198011
14 198011
15 198810
16 19777
17 19846
18
Detection of enzyme mutants in mice by isoelectric focusing. Abstr.
19834
19 19912
20 19832

About Daniel J. Charles

Daniel J. Charles is a scholar working on Molecular Biology, Genetics, Surgery, Physiology and Spectroscopy, having authored 24 papers that have together received 404 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (5 papers), Pancreatic function and diabetes (4 papers), Animal Genetics and Reproduction (3 papers), Molecular Biology Techniques and Applications (3 papers), CRISPR and Genetic Engineering (3 papers), Advanced Proteomics Techniques and Applications (3 papers), Hemoglobinopathies and Related Disorders (2 papers) and bioluminescence and chemiluminescence research (2 papers). The work is most often cited by research in Aging (8 citations), Molecular Biology (263 citations), Genetics (106 citations), Pediatrics, Perinatology and Child Health (60 citations) and Cancer Research (45 citations). Daniel J. Charles has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Walter Pretsch, Chi‐Yu Lee, Jack Favor, Jochen Graw, A. Neuhäuser-Klaus, U.H. Ehling, Jana Kratochvílová, D Bronson, Michaël C. Fontaine and Michael D. W. Griffin. Their work appears in journals such as Biochemical Genetics, Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis, Genetics Research, Electrophoresis and Regulatory Peptides.

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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