Daniel Walther
Impact in
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
-
- Advanced Proteomics Techniques and Applications 6
- Mass Spectrometry Techniques and Applications 4
-
- Cell Image Analysis Techniques 3
- Co-authors
- Ron D. Appel (5 shared papers)Patricia M. Palagi (6 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)Nucleic Acids Research (1 paper)Analytical Chemistry (1 paper)Microbiology Spectrum (1 paper)
- Partner nations
- SwitzerlandAustriaUnited States
In The Last Decade
Daniel Walther
12 papers receiving 631 citations
Peers
Comparison fields: 5 of 89
- Spectroscopy 380
- Biophysics 50
- Molecular Biology 471
- Information Systems and Management 14
- Cell Biology 24
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 25 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 | 166 | |
| 2 | 1997 | 124 | |
| 3 | 2005 | 118 | |
| 4 | 2006 | 95 | |
| 5 | 1999 | 93 | |
| 6 | 1999 | 33 | |
| 7 | 2014 | 12 | |
| 8 | 2017 | 7 | |
| 9 | 2024 | 6 | |
| 10 | 2008 | 4 | |
| 11 | 2018 | 3 | |
| 12 | 2010 | 1 |
About Daniel Walther
Daniel Walther is a scholar working on Spectroscopy, Biophysics, Molecular Biology, Information Systems and Management and Information Systems, having authored 12 papers that have together received 662 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (6 papers), Genomics and Phylogenetic Studies (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Gene expression and cancer classification (3 papers), Cell Image Analysis Techniques (3 papers), Research Data Management Practices (2 papers) and Genetics, Bioinformatics, and Biomedical Research (2 papers). The work is most often cited by research in Spectroscopy (380 citations), Biophysics (50 citations), Molecular Biology (471 citations), Information Systems and Management (14 citations) and Cell Biology (24 citations). Daniel Walther has collaborated with scholars based in Switzerland, Austria and United States. Frequent co-authors include Ron D. Appel, Patricia M. Palagi, Denis F. Hochstrasser, Javier Vargas, Jean‐Charles Sanchez, Patricia Hernandez, Florence Ravier, Christian Pasquali, Manfredo Quadroni and Jennifer Burgess. Their work appears in journals such as Electrophoresis, PROTEOMICS, Nucleic Acids Research, Analytical Chemistry and Microbiology Spectrum.
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.