Ulf Reimer

9.0k citations
64 papers · 3.1k · 1 hit paper · h-index 29

Impact in

    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications
    • Advanced Biosensing Techniques and Applications
    • Signaling Pathways in Disease
    • Chemical Synthesis and Analysis
    • Protein Structure and Dynamics

Papers in

Ulf Reimer

64 papers receiving 3.1k citations

Ulf Reimer's Hit Papers

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

Peers

Ulf Reimer
Comparison fields: 5 of 126
  • Spectroscopy 691
  • Molecular Biology 2.3k
  • Radiology, Nuclear Medicine and Imaging 409
  • Immunology and Allergy 88
  • Oncology 366
Replace Barry Schweitzer with:
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Ulf Reimer relative to Barry Schweitzer United States Barry Schweitzer's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ulf Reimer

Since Specialization
Citations

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

Fields of papers citing papers by Ulf Reimer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 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 1998313
3 1998141
4 1998140
5 2002133
6 2015122
7 2013102
8 201896
9 200282
10 200481
11 201878
12 200177
13 201275
14 201574
15 200572
16 200458
17 200757
18 201754
19 200253
20 201749

About Ulf Reimer

Ulf Reimer is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Spectroscopy, Oncology and Infectious Diseases, having authored 64 papers that have together received 3.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (15 papers), Advanced Proteomics Techniques and Applications (13 papers), Advanced Biosensing Techniques and Applications (13 papers), Signaling Pathways in Disease (10 papers), Mass Spectrometry Techniques and Applications (9 papers), Peptidase Inhibition and Analysis (8 papers), Biochemical and Structural Characterization (6 papers) and Chemical Synthesis and Analysis (5 papers). The work is most often cited by research in Spectroscopy (691 citations), Molecular Biology (2.3k citations), Radiology, Nuclear Medicine and Imaging (409 citations), Immunology and Allergy (88 citations) and Oncology (366 citations). Ulf Reimer has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Mike Schutkowski, Gunter Fischer, Ulrich Reineke, Gerd Scherer, Johannes Zerweck, Karsten Schnatbaum, Jens Schneider‐Mergener, Bernhard Küster, Mathias Wilhelm and Daniel P. Zolg. Their work appears in journals such as PLoS ONE, Molecular & Cellular Proteomics, Biochemistry, Journal of Neuroimmunology and Annals of the Rheumatic Diseases.

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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