Karsten Schnatbaum

5.5k citations
25 papers · 1.7k · 2 hit papers · h-index 13

Impact in

    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications

Papers in

    • Chemical Synthesis and Analysis 4
    • Metabolomics and Mass Spectrometry Studies 3
    • Advanced Proteomics Techniques and Applications 8
    • Mass Spectrometry Techniques and Applications 6

Karsten Schnatbaum

25 papers receiving 1.7k citations

Karsten Schnatbaum's Hit Papers

Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning 2019 · 540 citations
5400+2+4Years since publication100200300400500

Peers

Karsten Schnatbaum
Comparison fields: 5 of 120
  • Spectroscopy 585
  • Transplantation 48
  • Molecular Biology 979
  • Immunology 204
  • Infectious Diseases 116
Replace DaRue A. Prieto with:
DaRue A. Prieto United States
Johannes A. Hewel Canada
Dorota Zielińska Poland
Leroi V. DeSouza Canada
Søren Skov Jensen Denmark
Rebekah L. Gundry United States
Richard Fagan United States
Andrei P. Drabovich Canada
Chris Spahr United States
Eric M. Billings United States
Karsten Schnatbaum relative to DaRue A. Prieto United States DaRue A. Prieto's profile →
Citations per field
00.5×12×
DaRue A. Prieto · 1×
Citations per year

Countries citing papers authored by Karsten Schnatbaum

Since Specialization
Citations

This map shows the geographic impact of Karsten Schnatbaum'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 Karsten Schnatbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karsten Schnatbaum more than expected).

Fields of papers citing papers by Karsten Schnatbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karsten Schnatbaum. 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 Karsten Schnatbaum. The network helps show where Karsten Schnatbaum may publish in the future.

Co-authors

The 25 scholars most cited alongside Karsten Schnatbaum, 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 Karsten Schnatbaum Line = papers co-authored together Karsten Schnatbaum links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning
Hit paper breakdown →
2019540
2
A deep proteome and transcriptome abundance atlas of 29 healthy human tissues
Hit paper breakdown →
2019463
3 2008103
4 201896
5 201878
6 199977
7 202066
8 201749
9 200638
10 202137
11 202123
12 200921
13 202220
14 201210
15 20119
16 20148
17 20207
18 20227
19 20095
20 20095

About Karsten Schnatbaum

Karsten Schnatbaum is a scholar working on Molecular Biology, Spectroscopy, Genetics, Infectious Diseases and Oncology, having authored 25 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (8 papers), Mass Spectrometry Techniques and Applications (6 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers), Chemical Synthesis and Analysis (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Spectroscopy (585 citations), Transplantation (48 citations), Molecular Biology (979 citations), Immunology (204 citations) and Infectious Diseases (116 citations). Karsten Schnatbaum has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Bernhard Küster, Mathias Wilhelm, Daniel P. Zolg, Tobias Schmidt, Ulf Reimer, Johannes Zerweck, Tobias Knaute, Hans J. Schäfer, Bernard Delanghe and Siegfried Gessulat. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Molecular & Cellular Proteomics, Nature Methods, PROTEOMICS and Biotechnology Journal.

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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