Daniel C. Chamrad
Impact in
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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- Metabolomics and Mass Spectrometry Studies
- Heat shock proteins research
- Bioinformatics and Genomic Networks
Papers in
- Spectroscopy 16
- Advanced Proteomics Techniques and Applications 16
-
- Genetic Neurodegenerative Diseases 1
- Co-authors
- Helmut E. Meyer (15 shared papers)Martin Blüggel (14 shared papers)Gerhard Körting (11 shared papers)Joachim Klose (4 shared papers)Kai A. Reidegeld (8 shared papers)Kai Stühler (2 shared papers)Katrin Marcus (8 shared papers)Herbert Thiele (5 shared papers)
- Journals
- PROTEOMICS (9 papers)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (1 paper)Nature Methods (1 paper)Bioinformatics (1 paper)Molecular & Cellular Proteomics (1 paper)
- Partner nations
- GermanyUnited KingdomBelgium
In The Last Decade
Daniel C. Chamrad
17 papers receiving 587 citations
Peers
Comparison fields: 5 of 70
- Spectroscopy 403
- Molecular Biology 157
- Cellular and Molecular Neuroscience 28
- Aging 2
- Clinical Biochemistry 4
Countries citing papers authored by Daniel C. Chamrad
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 84 | |
| 2 | 2002 | 75 | |
| 3 | 2009 | 73 | |
| 4 | 2008 | 66 | |
| 5 | 2005 | 58 | |
| 6 | 2003 | 54 | |
| 7 | 2006 | 46 | |
| 8 | 2004 | 41 | |
| 9 | 2005 | 29 | |
| 10 | 2006 | 22 | |
| 11 | 2006 | 21 | |
| 12 | 2006 | 20 | |
| 13 | 2006 | 10 | |
| 14 | 2005 | 9 | |
| 15 | 2006 | 5 | |
| 16 | P5-M Proteinscape—Software Platform for Managing Proteomics Data | 2007 | 2 |
| 17 | The HUPO Brain Proteome Project | 2006 | 1 |
About Daniel C. Chamrad
Daniel C. Chamrad is a scholar working on Spectroscopy, Cellular and Molecular Neuroscience, Molecular Biology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 17 papers that have together received 616 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (16 papers), Heat shock proteins research (1 paper), Genetic Neurodegenerative Diseases (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Spectroscopy (403 citations), Molecular Biology (157 citations), Cellular and Molecular Neuroscience (28 citations), Aging (2 citations) and Clinical Biochemistry (4 citations). Daniel C. Chamrad has collaborated with scholars based in Germany, United Kingdom and Belgium. Frequent co-authors include Helmut E. Meyer, Martin Blüggel, Gerhard Körting, Joachim Klose, Kai A. Reidegeld, Kai Stühler, Katrin Marcus, Herbert Thiele, Josef Priller and Claus Zabel. Their work appears in journals such as PROTEOMICS, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, Nature Methods, Bioinformatics and Molecular & Cellular Proteomics.
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.