Patrick A. Pribil

680 citations
13 papers · 497 · h-index 8

Impact in

    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications
    • Bacterial Identification and Susceptibility Testing

Papers in

    • Advanced Proteomics Techniques and Applications 4
    • Mass Spectrometry Techniques and Applications 3
    • Analytical Chemistry and Chromatography 1
    • Bacterial Identification and Susceptibility Testing 2

Patrick A. Pribil

13 papers receiving 481 citations

Peers

Patrick A. Pribil
Comparison fields: 5 of 53
  • Spectroscopy 272
  • Clinical Biochemistry 41
  • Genetics 70
  • Molecular Biology 119
  • Aging 2
Replace Claire Dauly with:
Claire Dauly France
Carsten Lück Germany
Hyun Jae Chung South Korea
Joshua J. Nicklay United States
Pierre Lebrun Belgium
Shaolong Zhu Canada
Peter E. Feist United States
Eva-Maria E. Uhlemann United States
Joscelyn Sarsby United Kingdom
Sven H. Giese Germany
Patrick A. Pribil relative to Claire Dauly France Claire Dauly's profile →
Citations per field
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Claire Dauly · 1×
Citations per year

Countries citing papers authored by Patrick A. Pribil

Since Specialization
Citations

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

Fields of papers citing papers by Patrick A. Pribil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick A. Pribil. 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 Patrick A. Pribil. The network helps show where Patrick A. Pribil may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2007277
2 200347
3 200541
4 200734
5 200531
6 200022
7 201016
8 200410
9 20048
10 20157
11 20252
12 20251
13 20261

About Patrick A. Pribil

Patrick A. Pribil is a scholar working on Spectroscopy, Clinical Biochemistry, Genetics, Oncology and Molecular Biology, having authored 13 papers that have together received 497 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (4 papers), Advanced Proteomics Techniques and Applications (4 papers), Mass Spectrometry Techniques and Applications (3 papers), Bacterial Identification and Susceptibility Testing (2 papers), Glycosylation and Glycoproteins Research (2 papers), Analytical Chemistry and Chromatography (1 paper) and Cancer Risks and Factors (1 paper). The work is most often cited by research in Spectroscopy (272 citations), Clinical Biochemistry (41 citations), Genetics (70 citations), Molecular Biology (119 citations) and Aging (2 citations). Patrick A. Pribil has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include David B. Haniford, Leila H. Choe, Philip L. Ross, Mark D. D'Ascenzo, Kelvin H. Lee, Norman R. Relkin, Darryl Pappin, Catherine Fenselau, Gavin E. Black and Vladimir M. Doroshenko. Their work appears in journals such as Analytical Chemistry, Journal of Molecular Biology, PROTEOMICS, Journal of Mass Spectrometry and Clinical Cancer Research.

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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