Peter J. Winn

2.3k citations
53 papers · 1.7k · h-index 22

Impact in

Papers in

    • Protein Structure and Dynamics 5
    • RNA and protein synthesis mechanisms 4
    • Enzyme Catalysis and Immobilization 3
    • Analytical Chemistry and Chromatography 6
    • Mass Spectrometry Techniques and Applications 5

Peter J. Winn

52 papers receiving 1.7k citations

Peers

Peter J. Winn
Comparison fields: 5 of 119
  • Pharmacology 453
  • Computational Theory and Mathematics 427
  • Spectroscopy 294
  • Molecular Biology 850
  • Transplantation 30
Replace Luigi Villa with:
Luigi Villa Italy
Sang M. Chung United States
David K. Chalmers Australia
Alexander I. Archakov Russia
Miguel X. Fernandes Spain
Donna M. Huryn United States
Gus R. Rosania United States
Reza Oliyai United States
Michael Hennig Switzerland
William R. Pitt United Kingdom
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Citations per field
00.5×6.4×
Luigi Villa · 1×
Citations per year

Countries citing papers authored by Peter J. Winn

Since Specialization
Citations

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

Fields of papers citing papers by Peter J. Winn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter J. Winn. 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 J. Winn. The network helps show where Peter J. Winn may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006308
2 2002153
3 2004141
4 1999111
5 2005111
6 200182
7 199956
8
A comparison of autoantibody production in asymptomatic and symptomatic women with silicone breast implants.
199954
9 200449
10 201048
11 199643
12 200643
13 201437
14 199735
15 201533
16 199730
17 199927
18 201427
19 201226
20 197523

About Peter J. Winn

Peter J. Winn is a scholar working on Molecular Biology, Spectroscopy, Pharmacology, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 53 papers that have together received 1.7k indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (6 papers), Electrochemical sensors and biosensors (5 papers), Microbial Natural Products and Biosynthesis (5 papers), Protein Structure and Dynamics (5 papers), Pharmacogenetics and Drug Metabolism (5 papers), Mass Spectrometry Techniques and Applications (5 papers), RNA and protein synthesis mechanisms (4 papers) and Enzyme Catalysis and Immobilization (3 papers). The work is most often cited by research in Pharmacology (453 citations), Computational Theory and Mathematics (427 citations), Spectroscopy (294 citations), Molecular Biology (850 citations) and Transplantation (30 citations). Peter J. Winn has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Rebecca C. Wade, Vlad Cojocaru, W. Graham Richards, Daniel D. Robinson, Christopher A. Reynolds, György G. Ferenczy, Ilme Schlichting, Susanna K. Lüdemann, Ralph Gauges and Valère Lounnas. Their work appears in journals such as The Journal of Physical Chemistry A, Proteins Structure Function and Bioinformatics, Journal of Computational Chemistry, Journal of Medicinal Chemistry and PLoS ONE.

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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