M. Coincon

1.1k citations
21 papers · 712 · 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 710 citations

Peers

M. Coincon
Comparison fields: 5 of 85
  • Parasitology 86
  • Molecular Medicine 42
  • Biochemistry 48
  • Molecular Biology 393
  • Endocrinology 22
Replace D.J. Leibly with:
D.J. Leibly United States
Nien‐Jen Hu Taiwan
Chinpan Chen Taiwan
Andrés Palencia France
Ajay K. Saxena India
Rie Nakajima Japan
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Christiane Deregnaucourt France
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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 200991
2 201678
3 201768
4 201167
5 201253
6 201744
7 201944
8 200631
9 201030
10 201229
11 200827
12 201824
13 201523
14 202023
15 202321
16 201517
17 200515
18 201715
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 712 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 (86 citations), Molecular Medicine (42 citations), Biochemistry (48 citations), Molecular Biology (393 citations) and Endocrinology (22 citations). M. Coincon has collaborated with scholars based in Canada, Sweden and France. Frequent co-authors include J. Sygusch, David Drew, Povilas Uzdavinys, Emmanuel Nji, G. Lucas Starnes, L. David Sibley, Michael Landreh, Mary Jackson, Michel Thérisod and Carol V. Robinson. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications, Journal of Medicinal Chemistry, Nature Structural & Molecular Biology and Journal of Virology.

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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