Daniel Walther
Impact in
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
-
- Metabolomics and Mass Spectrometry Studies 3
- Genomics and Phylogenetic Studies 3
- Genetics, Bioinformatics, and Biomedical Research 2
- Gene expression and cancer classification 2
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- Advanced Proteomics Techniques and Applications 5
- Mass Spectrometry Techniques and Applications 3
- Co-authors
- Patricia M. Palagi (6 shared papers)Ron D. Appel (5 shared papers)Denis F. Hochstrasser (4 shared papers)Javier Vargas (2 shared papers)Jean‐Charles Sanchez (3 shared papers)Patricia Hernandez (1 shared paper)Florence Ravier (1 shared paper)Christian Pasquali (1 shared paper)
- Journals
- Electrophoresis (3 papers)PROTEOMICS (3 papers)D-Lib Magazine (1 paper)Methods in molecular biology (1 paper)Open MIND (1 paper)
- Partner nations
- SwitzerlandAustriaUnited States
In The Last Decade
Daniel Walther
9 papers receiving 486 citations
Peers
Comparison fields: 5 of 81
- Spectroscopy 290
- Biophysics 44
- Molecular Biology 382
- Information Systems and Management 11
- Computer Graphics and Computer-Aided Design 5
Countries citing papers authored by Daniel Walther
This map shows the geographic impact of Daniel Walther'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 Walther with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Walther more than expected).
Fields of papers citing papers by Daniel Walther
This network shows the impact of papers produced by Daniel Walther. 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 Walther. The network helps show where Daniel Walther may publish in the future.
Co-authors
The 24 scholars most cited alongside Daniel Walther, 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 | 1997 | 155 | |
| 2 | 1997 | 117 | |
| 3 | 2005 | 112 | |
| 4 | 2006 | 85 | |
| 5 | 1999 | 29 | |
| 6 | 2017 | 5 | |
| 7 | 2008 | 3 | |
| 8 | 2018 | 3 | |
| 9 | 2010 | 1 |
About Daniel Walther
Daniel Walther is a scholar working on Molecular Biology, Spectroscopy, Biophysics, Information Systems and Information Systems and Management, having authored 9 papers that have together received 510 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (5 papers), Cell Image Analysis Techniques (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Genomics and Phylogenetic Studies (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Scientific Computing and Data Management (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Spectroscopy (290 citations), Biophysics (44 citations), Molecular Biology (382 citations), Information Systems and Management (11 citations) and Computer Graphics and Computer-Aided Design (5 citations). Daniel Walther has collaborated with scholars based in Switzerland, Austria and United States. Frequent co-authors include Patricia M. Palagi, Ron D. Appel, Denis F. Hochstrasser, Javier Vargas, Jean‐Charles Sanchez, Patricia Hernandez, Florence Ravier, Christian Pasquali, Catherine G. Zimmermann‐Ivol and Manfredo Quadroni. Their work appears in journals such as Electrophoresis, PROTEOMICS, D-Lib Magazine, Methods in molecular biology and Open MIND.
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.