Peter Blattmann

2.0k total citations
25 papers, 1.0k citations indexed

About

Peter Blattmann is a scholar working on Molecular Biology, Immunology and Spectroscopy. According to data from OpenAlex, Peter Blattmann has authored 25 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Immunology and 6 papers in Spectroscopy. Recurrent topics in Peter Blattmann's work include Advanced Proteomics Techniques and Applications (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Biosimilars and Bioanalytical Methods (5 papers). Peter Blattmann is often cited by papers focused on Advanced Proteomics Techniques and Applications (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Biosimilars and Bioanalytical Methods (5 papers). Peter Blattmann collaborates with scholars based in Switzerland, Germany and United States. Peter Blattmann's co-authors include Ruedi Aebersold, Michael Holzer, Mario Schelhaas, Bhavin Shah, Patricia M. Day, John T. Schiller, Ari Helenius, Lena Kühling, Heiko Runz and Rainer Pepperkok and has published in prestigious journals such as Science, Nature Communications and PLoS ONE.

In The Last Decade

Peter Blattmann

23 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Blattmann Switzerland 14 550 259 209 140 132 25 1.0k
Peter Habenberger Germany 11 846 1.5× 472 1.8× 153 0.7× 53 0.4× 118 0.9× 17 1.3k
Karin Breuer Canada 6 638 1.2× 245 0.9× 114 0.5× 88 0.6× 103 0.8× 6 1.0k
Ashutosh Mishra United States 19 888 1.6× 242 0.9× 167 0.8× 57 0.4× 133 1.0× 40 1.3k
Michele Tinti United Kingdom 16 885 1.6× 163 0.6× 138 0.7× 38 0.3× 64 0.5× 41 1.1k
Giovanna Bergamini Germany 15 660 1.2× 130 0.5× 183 0.9× 49 0.3× 93 0.7× 29 1.1k
Thilo Bracht Germany 21 713 1.3× 111 0.4× 173 0.8× 96 0.7× 178 1.3× 49 1.2k
Ragunath Singaravelu Canada 21 668 1.2× 212 0.8× 229 1.1× 80 0.6× 68 0.5× 33 1.2k
H. Christian Eberl Germany 17 1.5k 2.6× 218 0.8× 59 0.3× 118 0.8× 130 1.0× 27 1.7k
Daniela Schlatzer United States 17 854 1.6× 118 0.5× 84 0.4× 320 2.3× 100 0.8× 42 1.3k

Countries citing papers authored by Peter Blattmann

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Peter Blattmann

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Blattmann. A scholar is included among the top collaborators of Peter Blattmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Blattmann. Peter Blattmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Röhn, Karl, et al.. (2025). Sinbaglustat ameliorates disease pathology in a murine model of GM1 gangliosidosis without affecting CNS ganglioside levels. Neurobiology of Disease. 210. 106917–106917. 1 indexed citations
2.
Marchesin, Valentina, Peter Blattmann, Florent Chevillard, et al.. (2024). A uniquely efficacious type of CFTR corrector with complementary mode of action. Science Advances. 10(9). eadk1814–eadk1814. 5 indexed citations
3.
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5.
Barfield, Matthew, Peter Blattmann, Benno Ingelse, et al.. (2023). Immunocapture LC–MS(/MS) Assays for Biotherapeutic and Biomarker Proteins: The European Bioanalysis Forum Continuing Discussions on Scientific and Regulatory Challenges. Bioanalysis. 15(9). 477–480. 2 indexed citations
6.
Zimoń, M., Yunfeng Huang, Aliaksandr Halavatyi, et al.. (2021). Pairwise effects between lipid GWAS genes modulate lipid plasma levels and cellular uptake. Nature Communications. 12(1). 6411–6411. 5 indexed citations
7.
Aebersold, Ruedi & Peter Blattmann. (2019). Mass Spectrometric Exploration of the Biochemical Basis of Living Systems. CHIMIA International Journal for Chemistry. 73(7-8). 540–540. 1 indexed citations
8.
Celis‐Gutierrez, Javier, Peter Blattmann, Yunhao Zhai, et al.. (2019). Quantitative Interactomics in Primary T Cells Provides a Rationale for Concomitant PD-1 and BTLA Coinhibitor Blockade in Cancer Immunotherapy. Cell Reports. 27(11). 3315–3330.e7. 117 indexed citations
9.
Blattmann, Peter, et al.. (2019). Generation of a zebrafish SWATH-MS spectral library to quantify 10,000 proteins. Scientific Data. 6(1). 190011–190011. 28 indexed citations
10.
Buljan, Marija, Peter Blattmann, Ruedi Aebersold, & Michael Boutros. (2018). Systematic characterization of pan‐cancer mutation clusters. Molecular Systems Biology. 14(3). e7974–e7974. 33 indexed citations
11.
Sajic, Tatjana, Yansheng Liu, Eirini Arvaniti, et al.. (2018). Similarities and Differences of Blood N-Glycoproteins in Five Solid Carcinomas at Localized Clinical Stage Analyzed by SWATH-MS. Cell Reports. 23(9). 2819–2831.e5. 33 indexed citations
12.
Blattmann, Peter, David Henriques, Michael Zimmermann, et al.. (2017). Systems Pharmacology Dissection of Cholesterol Regulation Reveals Determinants of Large Pharmacodynamic Variability between Cell Lines. Cell Systems. 5(6). 604–619.e7. 16 indexed citations
13.
Williams, Evan G., Yibo Wu, Pooja Jha, et al.. (2016). Systems proteomics of liver mitochondria function. Science. 352(6291). aad0189–aad0189. 212 indexed citations
14.
Blattmann, Peter, Moritz Heusel, & Ruedi Aebersold. (2016). SWATH2stats: An R/Bioconductor Package to Process and Convert Quantitative SWATH-MS Proteomics Data for Downstream Analysis Tools. PLoS ONE. 11(4). e0153160–e0153160. 33 indexed citations
15.
Schuberth, Christian, Hong‐Hee Won, Peter Blattmann, et al.. (2016). Systematic Cell-Based Phenotyping of Missense Alleles Empowers Rare Variant Association Studies: A Case for <i>LDLR</i> and Myocardial Infarction. Figshare. 39 indexed citations
16.
Schuberth, Christian, Hong‐Hee Won, Peter Blattmann, et al.. (2015). Systematic Cell-Based Phenotyping of Missense Alleles Empowers Rare Variant Association Studies: A Case for LDLR and Myocardial Infarction. PLoS Genetics. 11(2). e1004855–e1004855. 2 indexed citations
17.
Iskar, Murat, Georg Zeller, Peter Blattmann, et al.. (2013). Characterization of drug‐induced transcriptional modules: towards drug repositioning and functional understanding. Molecular Systems Biology. 9(1). 662–662. 88 indexed citations
18.
Blattmann, Peter, Christian Schuberth, Rainer Pepperkok, & Heiko Runz. (2013). RNAi–Based Functional Profiling of Loci from Blood Lipid Genome-Wide Association Studies Identifies Genes with Cholesterol-Regulatory Function. PLoS Genetics. 9(2). e1003338–e1003338. 45 indexed citations
19.
Schelhaas, Mario, Bhavin Shah, Michael Holzer, et al.. (2012). Entry of Human Papillomavirus Type 16 by Actin-Dependent, Clathrin- and Lipid Raft-Independent Endocytosis. PLoS Pathogens. 8(4). e1002657–e1002657. 239 indexed citations
20.
Smed‐Sörensen, Anna, Cécile Chalouni, Bithi Chatterjee, et al.. (2012). Influenza A Virus Infection of Human Primary Dendritic Cells Impairs Their Ability to Cross-Present Antigen to CD8 T Cells. PLoS Pathogens. 8(3). e1002572–e1002572. 71 indexed citations

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.

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