M. Coincon

1.1k citations
21 papers · 692 · h-index 16

Impact in

Papers in

    • Protein Structure and Dynamics 4
    • Biochemical and Molecular Research 4
    • Metabolism, Diabetes, and Cancer 2
    • Bacterial biofilms and quorum sensing 2
    • Enzyme Structure and Function 8

M. Coincon

21 papers receiving 691 citations

Peers

M. Coincon
Comparison fields: 5 of 84
  • Parasitology 83
  • Molecular Medicine 40
  • Biochemistry 48
  • Molecular Biology 381
  • Endocrinology 20
Replace D.J. Leibly with:
D.J. Leibly United States
Nien‐Jen Hu Taiwan
Andrés Palencia France
Chinpan Chen Taiwan
Rie Nakajima Japan
Ajay K. Saxena India
Rachel Cerdan France
Matthias Stehr Germany
Cristiano Valim Bizarro Brazil
Sha Ha United States
M. Coincon relative to D.J. Leibly United States D.J. Leibly's profile →
Citations per field
00.5×4.5×
D.J. Leibly · 1×
Citations per year

Countries citing papers authored by M. Coincon

Since Specialization
Citations

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

Fields of papers citing papers by M. Coincon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200987
2 201678
3 201766
4 201165
5 201251
6 201744
7 201944
8 200630
9 201029
10 201228
11 200826
12 202023
13 201823
14 201522
15 202321
16 201516
17 200514
18 201713
19 20056
20 20154

About M. Coincon

M. Coincon is a scholar working on Molecular Biology, Materials Chemistry, Surgery, Epidemiology and Molecular Medicine, having authored 21 papers that have together received 692 indexed citations. Recurring topics across this work include Enzyme Structure and Function (8 papers), Protein Structure and Dynamics (4 papers), Biochemical and Molecular Research (4 papers), Amino Acid Enzymes and Metabolism (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Antibiotic Resistance in Bacteria (2 papers), Mass Spectrometry Techniques and Applications (2 papers) and Bacterial biofilms and quorum sensing (2 papers). The work is most often cited by research in Parasitology (83 citations), Molecular Medicine (40 citations), Biochemistry (48 citations), Molecular Biology (381 citations) and Endocrinology (20 citations). M. Coincon has collaborated with scholars based in Canada, Sweden and France. Frequent co-authors include J. Sygusch, David Drew, Emmanuel Nji, Povilas Uzdavinys, L. David Sibley, G. Lucas Starnes, Michael Landreh, Michel Thérisod, Mary Jackson and David Dotson. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications, Journal of Medicinal Chemistry, Nature Structural & Molecular Biology 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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