Lars Nilse
Impact in
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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- Metabolomics and Mass Spectrometry Studies
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
Papers in ⓘ
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- Metabolomics and Mass Spectrometry Studies 2
- Bioinformatics and Genomic Networks 1
- Metabolism, Diabetes, and Cancer 1
- Molecular Biology Techniques and Applications 1
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- Advanced Proteomics Techniques and Applications 5
- Mass Spectrometry Techniques and Applications 2
- Co-authors
- Oliver Kohlbacher (2 shared papers)Oliver Schilling (4 shared papers)Hendrik Weisser (1 shared paper)Andreas Quandt (1 shared paper)Jonas Grossmann (1 shared paper)Sven Nahnsen (1 shared paper)Ruedi Aebersold (1 shared paper)Lars Malmström (1 shared paper)
- Journals
- PROTEOMICS - CLINICAL APPLICATIONS (1 paper)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (1 paper)Journal of Proteome Research (1 paper)Molecular & Cellular Proteomics (1 paper)Cancer Research (1 paper)
- Partner nations
- GermanySwitzerlandCanada
In The Last Decade
Lars Nilse
6 papers receiving 283 citations
Peers
Comparison fields: 5 of 63
- Spectroscopy 143
- Molecular Biology 197
- Cell Biology 32
- Cancer Research 26
- Information Systems and Management 11
Countries citing papers authored by Lars Nilse
This map shows the geographic impact of Lars Nilse'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 Lars Nilse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Nilse more than expected).
Fields of papers citing papers by Lars Nilse
This network shows the impact of papers produced by Lars Nilse. 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 Lars Nilse. The network helps show where Lars Nilse may publish in the future.
Co-authors
The 25 scholars most cited alongside Lars Nilse, 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 | 2013 | 124 | |
| 2 | 2017 | 67 | |
| 3 | 2015 | 65 | |
| 4 | 2016 | 14 | |
| 5 | 2015 | 10 | |
| 6 | 2016 | 4 |
About Lars Nilse
Lars Nilse is a scholar working on Molecular Biology, Spectroscopy, Cancer Research, Information Systems and Management and Oncology, having authored 6 papers that have together received 284 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (5 papers), Mass Spectrometry Techniques and Applications (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Bioinformatics and Genomic Networks (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Scientific Computing and Data Management (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Molecular Biology Techniques and Applications (1 paper). The work is most often cited by research in Spectroscopy (143 citations), Molecular Biology (197 citations), Cell Biology (32 citations), Cancer Research (26 citations) and Information Systems and Management (11 citations). Lars Nilse has collaborated with scholars based in Germany, Switzerland and Canada. Frequent co-authors include Oliver Kohlbacher, Oliver Schilling, Hendrik Weisser, Andreas Quandt, Jonas Grossmann, Sven Nahnsen, Ruedi Aebersold, Lars Malmström, Marc Sturm and Erhan Kenar. Their work appears in journals such as PROTEOMICS - CLINICAL APPLICATIONS, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, Journal of Proteome Research, Molecular & Cellular Proteomics and Cancer Research.
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.