Peter Blattmann

2k citations
26 papers · 1.5k · h-index 15

Impact in

    • Advanced Proteomics Techniques and Applications
  • Epidemiology top 10%
    • Cervical Cancer and HPV Research

Papers in

    • Advanced Proteomics Techniques and Applications 7
    • Biosimilars and Bioanalytical Methods 4

Peter Blattmann

24 papers receiving 1.4k citations

Peers

Peter Blattmann
Comparison fields: 5 of 95
  • Spectroscopy 344
  • Epidemiology 218
  • Molecular Biology 384
  • Immunology 112
  • Oncology 123
Replace Jonathan L. Robinson with:
Jonathan L. Robinson Sweden
Luz García‐Alonso United Kingdom
Nicholas W. Bateman United States
Bjørn Gunnar Rude Voldborg Denmark
Handong Wei China
Erika Darrah United States
Annick Verhee Belgium
Gengxi Hu China
Andrew Pierce United Kingdom
Christian Melle Germany
Peter Blattmann relative to Jonathan L. Robinson Sweden Jonathan L. Robinson's profile →
Citations per field
00.5×2×4×5.3×
Jonathan L. Robinson · 1×
Citations per year

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-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.

Border = papers with Peter Blattmann Line = papers co-authored together Peter Blattmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016258
2 2012244
3 2016238
4 2019127
5 2019127
6 201396
7 201277
8 201350
9 201637
10 201835
11 201834
12 202231
13 202224
14 201718
15 202318
16 20218
17 20238
18 20247
19 20245
20 20254

About Peter Blattmann

Peter Blattmann is a scholar working on Spectroscopy, Immunology, Cancer Research, Genetics and Surgery, having authored 26 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (7 papers), Biosimilars and Bioanalytical Methods (4 papers), Lipoproteins and Cardiovascular Health (3 papers), Genetic Associations and Epidemiology (3 papers), Bioinformatics and Genomic Networks (3 papers), Cholesterol and Lipid Metabolism (2 papers), Cancer Genomics and Diagnostics (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Spectroscopy (344 citations), Epidemiology (218 citations), Molecular Biology (384 citations), Immunology (112 citations) and Oncology (123 citations). Peter Blattmann has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Ruedi Aebersold, Lena Kühling, John T. Schiller, Bhavin Shah, Ari Helenius, Patricia M. Day, Mario Schelhaas, Heiko Runz, Evan G. Williams and Rainer Pepperkok. Their work appears in journals such as Bioanalysis, Molecular Systems Biology, Cell Reports, PLoS Pathogens and PLoS Genetics.

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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