Patrick G. A. Pedrioli

5.6k total citations
36 papers, 2.8k citations indexed

About

Patrick G. A. Pedrioli is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Patrick G. A. Pedrioli has authored 36 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 13 papers in Spectroscopy and 5 papers in Oncology. Recurrent topics in Patrick G. A. Pedrioli's work include Advanced Proteomics Techniques and Applications (13 papers), Ubiquitin and proteasome pathways (8 papers) and Mass Spectrometry Techniques and Applications (6 papers). Patrick G. A. Pedrioli is often cited by papers focused on Advanced Proteomics Techniques and Applications (13 papers), Ubiquitin and proteasome pathways (8 papers) and Mass Spectrometry Techniques and Applications (6 papers). Patrick G. A. Pedrioli collaborates with scholars based in Switzerland, United States and United Kingdom. Patrick G. A. Pedrioli's co-authors include Ruedi Aebersold, J. Simon C. Arthur, Philip Cohen, Matthias Peter, Kay Hofmann, Christoph H. Emmerich, Sam Strickson, David Komander, Alban Ordureau and Kristopher Clark and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Patrick G. A. Pedrioli

36 papers receiving 2.7k citations

Peers

Patrick G. A. Pedrioli
Comparison fields: 5 of 113
  • Molecular Biology 2.0k
  • Spectroscopy 542
  • Immunology 449
  • Oncology 425
  • Cell Biology 286
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Citations per field, relative to Patrick G. A. Pedrioli
Patrick G. A. Pedrioli · 1×
Citations per year, relative to Patrick G. A. Pedrioli
Patrick G. A. Pedrioli · 1×

Countries citing papers authored by Patrick G. A. Pedrioli

Since Specialization
Citations

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

Fields of papers citing papers by Patrick G. A. Pedrioli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick G. A. Pedrioli

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick G. A. Pedrioli. A scholar is included among the top collaborators of Patrick G. A. Pedrioli 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 Patrick G. A. Pedrioli. Patrick G. A. Pedrioli 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
# Work Indexed citations
1 2
2 2
3 1
4 89
5 45
6 32
7 32
8 2
9 42
10 31
11 27
12 346
13 126
14 172
15 45
16 26
17 230
18 68
19 161
20 97

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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