Michael Winn

764 citations
15 papers · 590 · h-index 12

Impact in

    • Microbial Natural Products and Biosynthesis
    • Carbohydrate Chemistry and Synthesis
    • Click Chemistry and Applications

Papers in

    • Enzyme Catalysis and Immobilization 3
    • Bacterial biofilms and quorum sensing 3
    • Chemical Synthesis and Analysis 2
    • Carbohydrate Chemistry and Synthesis 3

Michael Winn

15 papers receiving 583 citations

Peers

Michael Winn
Comparison fields: 5 of 76
  • Pharmacology 154
  • Organic Chemistry 234
  • Molecular Biology 417
  • Molecular Medicine 21
  • Biotechnology 34
Replace Tomoyuki Kimura with:
Tomoyuki Kimura Japan
Ricardo Lira United States
Ling‐Jie Gao Belgium
Daniel K. Baeschlin United Kingdom
Mostafa M. Hamed Germany
Stephan Rigol United States
Florian Kloß Germany
Toshiaki Miyake Japan
C. S. V. HOUGE‐FRYDRYCH United States
Mark G. Charest United States
Michael Winn relative to Tomoyuki Kimura Japan Tomoyuki Kimura's profile →
Citations per field
00.5×1.5×2.3×
Tomoyuki Kimura · 1×
Citations per year

Countries citing papers authored by Michael Winn

Since Specialization
Citations

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

Fields of papers citing papers by Michael Winn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2009237
2 202156
3 202049
4 200845
5 201136
6 201835
7 201624
8 201222
9 200820
10 201818
11 201116
12 201312
13 201810
14 20156
15 19514

About Michael Winn

Michael Winn is a scholar working on Molecular Biology, Organic Chemistry, Pharmacology, Pharmaceutical Science and Biotechnology, having authored 15 papers that have together received 590 indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (4 papers), Enzyme Catalysis and Immobilization (3 papers), Carbohydrate Chemistry and Synthesis (3 papers), Bacterial biofilms and quorum sensing (3 papers), Plant Disease Resistance and Genetics (2 papers), Chemical Synthesis and Analysis (2 papers), Plant-Microbe Interactions and Immunity (2 papers) and Fluorine in Organic Chemistry (2 papers). The work is most often cited by research in Pharmacology (154 citations), Organic Chemistry (234 citations), Molecular Biology (417 citations), Molecular Medicine (21 citations) and Biotechnology (34 citations). Michael Winn has collaborated with scholars based in United Kingdom, Czechia and Australia. Frequent co-authors include Rebecca J. M. Goss, Ken‐ichi Kimura, Timothy D. H. Bugg, Jason Micklefield, D. Francis, Abhijeet Deb Roy, Tim W. Overton, Dominic J. Campopiano, Mark Simmons and Gerd K. Wagner. Their work appears in journals such as ChemBioChem, Environmental Science and Pollution Research, Nature Catalysis, Chemical Communications and Catalysis Science & Technology.

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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