Peter Blattmann
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
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- Bioinformatics and Genomic Networks
- Metabolomics and Mass Spectrometry Studies
- Mitochondrial Function and Pathology
Papers in ⓘ
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- Metabolomics and Mass Spectrometry Studies 5
- Bioinformatics and Genomic Networks 3
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- Biosimilars and Bioanalytical Methods 5
- Co-authors
- Ruedi Aebersold (10 shared papers)Michael Holzer (1 shared paper)Bhavin Shah (1 shared paper)Lena Kühling (1 shared paper)Ari Helenius (1 shared paper)Mario Schelhaas (1 shared paper)John T. Schiller (1 shared paper)Patricia M. Day (1 shared paper)
- Journals
- Bioanalysis (5 papers)PLoS Genetics (2 papers)Cell Reports (2 papers)Molecular Systems Biology (2 papers)PLoS Pathogens (2 papers)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Peter Blattmann
23 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 95
- Immunology 259
- Molecular Biology 550
- Spectroscopy 123
- Epidemiology 209
- Aging 9
Countries citing papers authored by Peter Blattmann
This map shows the geographic impact of Peter Blattmann'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 Peter Blattmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Blattmann more than expected).
Fields of papers citing papers by Peter Blattmann
This network shows the impact of papers produced by Peter Blattmann. 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 Peter Blattmann. The network helps show where Peter Blattmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Blattmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 239 | |
| 2 | 2016 | 212 | |
| 3 | 2019 | 117 | |
| 4 | 2013 | 88 | |
| 5 | 2012 | 71 | |
| 6 | 2013 | 45 | |
| 7 | 2016 | 39 | |
| 8 | 2018 | 33 | |
| 9 | 2018 | 33 | |
| 10 | 2016 | 33 | |
| 11 | 2019 | 28 | |
| 12 | 2022 | 22 | |
| 13 | 2017 | 16 | |
| 14 | 2022 | 15 | |
| 15 | 2023 | 6 | |
| 16 | 2024 | 5 | |
| 17 | 2021 | 5 | |
| 18 | 2024 | 5 | |
| 19 | 2024 | 2 | |
| 20 | 2015 | 2 |
About Peter Blattmann
Peter Blattmann is a scholar working on Molecular Biology, Immunology, Spectroscopy, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (6 papers), Biosimilars and Bioanalytical Methods (5 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Mass Spectrometry Techniques and Applications (4 papers), Bioinformatics and Genomic Networks (3 papers), Genetic Associations and Epidemiology (2 papers), Cholesterol and Lipid Metabolism (2 papers) and Biosensors and Analytical Detection (2 papers). The work is most often cited by research in Immunology (259 citations), Molecular Biology (550 citations), Spectroscopy (123 citations), Epidemiology (209 citations) and Aging (9 citations). Peter Blattmann has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Ruedi Aebersold, Michael Holzer, Bhavin Shah, Lena Kühling, Ari Helenius, Mario Schelhaas, John T. Schiller, Patricia M. Day, Heiko Runz and Rainer Pepperkok. Their work appears in journals such as Bioanalysis, PLoS Genetics, Cell Reports, Molecular Systems Biology and PLoS Pathogens.
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.