Charles A. Miller

4.5k citations
92 papers · 3.4k indexed · h-index 30

Charles A. Miller

89 papers receiving 3.3k citations

Peers

Charles A. Miller
Comparison fields: 5 of 152
  • Health, Toxicology and Mutagenesis 667
  • Cellular and Molecular Neuroscience 634
  • Insect Science 365
  • Immunology 445
  • Genetics 544
Replace Hideo Kaneko with:
Hideo Kaneko Japan
Philip G. Board Australia
Joël R. Drevet France
Richard A. Lockshin United States
Lisa Connolly United Kingdom
Diether Neubert Germany
Jiří Adamec United States
Carlos Frederico Martins Menck Brazil
Bin Han China
Dolores D. Mruk United States
Charles A. Miller relative to Hideo Kaneko Japan Hideo Kaneko's profile →
Citations per field
00.5×3.7×
Hideo Kaneko · 1×
Citations per year

Countries citing papers authored by Charles A. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Charles A. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Charles A. Miller, 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 Charles A. Miller Line = papers co-authored together Charles A. Miller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20203
2 20196
3 201815
4 201443
5 201345
6 20122
7
High Sensitivity Protein Quantitation Using a Triple Quadrupole with a Dual Ion Funnel
20111
8
High Throughput Protein Quantitation using MRM Viewer Software and Dynamic MRM on a Triple Quadruple Mass Spectrometer
20103
9 200912
10 200487
11 200216
12 2001326
13 199986
14 1997129
15 19901
16 199015
17 199015
18 198922
19
Analysis of proteins cross-linked to DNA after treatment of cells with formaldehyde, chromate, and cis-diamminedichloroplatinum(II).
198920
20 1983150

About Charles A. Miller

Charles A. Miller is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research and Molecular Biology, having authored 92 papers that have together received 3.4k indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (13 papers), Carcinogens and Genotoxicity Assessment (11 papers), Molecular Biology Techniques and Applications (9 papers), DNA Repair Mechanisms (8 papers), Fungal and yeast genetics research (7 papers), Heat shock proteins research (7 papers), Effects and risks of endocrine disrupting chemicals (6 papers) and Bacterial Genetics and Biotechnology (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (667 citations), Cellular and Molecular Neuroscience (634 citations) and Insect Science (365 citations). Charles A. Miller has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include David A. Schooley, Toru Abo, Charles M. Balch, Max Costa, Sven Krämer, David Kowalski, Marc B. Cox, RA Marlar, G. Larry Gartland and Gene C. Jamieson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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