Daniel C. Chamrad

752 citations
16 papers · 554 · h-index 11

Impact in

    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications
    • Analytical Chemistry and Chromatography
    • Metabolomics and Mass Spectrometry Studies
    • Machine Learning in Bioinformatics
    • Bioinformatics and Genomic Networks
    • Mitochondrial Function and Pathology

Papers in

    • Metabolomics and Mass Spectrometry Studies 6
    • Machine Learning in Bioinformatics 5
    • Bioinformatics and Genomic Networks 2
    • Ubiquitin and proteasome pathways 2
    • Connexins and lens biology 1
    • Protein purification and stability 1
    • Advanced Proteomics Techniques and Applications 13
    • Mass Spectrometry Techniques and Applications 9

Daniel C. Chamrad

16 papers receiving 532 citations

Peers

Daniel C. Chamrad
Comparison fields: 5 of 83
  • Spectroscopy 341
  • Molecular Biology 458
  • Cell Biology 47
  • Cellular and Molecular Neuroscience 43
  • Physiology 33
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Citations per field
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Citations per year

Countries citing papers authored by Daniel C. Chamrad

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Chamrad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 200478
2 200273
3 200967
4 200866
5 200557
6 200348
7 200645
8 200433
9 200622
10 200620
11 200620
12 200610
13 20058
14 20064
15
P5-M Proteinscape—Software Platform for Managing Proteomics Data.
20072
16 20151

About Daniel C. Chamrad

Daniel C. Chamrad is a scholar working on Molecular Biology, Spectroscopy, Cellular and Molecular Neuroscience, Rheumatology and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 554 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (13 papers), Mass Spectrometry Techniques and Applications (9 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Machine Learning in Bioinformatics (5 papers), Bioinformatics and Genomic Networks (2 papers), Ubiquitin and proteasome pathways (2 papers), Connexins and lens biology (1 paper) and Protein purification and stability (1 paper). The work is most often cited by research in Spectroscopy (341 citations), Molecular Biology (458 citations), Cell Biology (47 citations), Cellular and Molecular Neuroscience (43 citations) and Physiology (33 citations). Daniel C. Chamrad has collaborated with scholars based in Germany, United Kingdom and Belgium. Frequent co-authors include Helmut E. Meyer, Martin Blüggel, Joachim Klose, Kai A. Reidegeld, Christoph Stephan, Katrin Marcus, Kai Stühler, Herbert Thiele, Claus Zabel and Ben Woodman. Their work appears in journals such as PROTEOMICS, Analytical and Bioanalytical Chemistry, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, Molecular & Cellular Proteomics and Annals of the Rheumatic Diseases.

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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