P. Charlier

82 papers receiving 4.7k citations

P. Charlier's Hit Papers

Bacterial peptidoglycan (murein) hydrolases 2008 · 674 citations
6740+6+12Years since publication250500750

Peers

P. Charlier
Comparison fields: 5 of 112
  • Molecular Medicine 1.9k
  • Endocrinology 381
  • Pharmacology 708
  • Infectious Diseases 737
  • Genetics 1.1k
Replace Bernard Joris with:
Bernard Joris Belgium
Taiji Nakae Japan
Juan A. Ayala Spain
Malcolm G. P. Page Switzerland
Karen Joy Shaw United States
Timothy Palzkill United States
Michio Matsuhashi Japan
Susumu Mitsuhashi Japan
Sergei B. Vakulenko United States
Jean‐Marie Ghuysen Belgium
P. Charlier relative to Bernard Joris Belgium Bernard Joris's profile →
Citations per field
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Bernard Joris · 1×
Citations per year

Countries citing papers authored by P. Charlier

Since Specialization
Citations

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

Fields of papers citing papers by P. Charlier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The penicillin-binding proteins: structure and role in peptidoglycan biosynthesis
Hit paper breakdown →
2008985
2
Bacterial peptidoglycan (murein) hydrolases
Hit paper breakdown →
2008674
3 1988301
4 1986186
5 2008173
6 1991160
7 1990152
8 1987133
9 198299
10 199696
11 201292
12 200279
13 199577
14 198867
15 199758
16 201458
17 198356
18 201355
19 200248
20 200746

About P. Charlier

P. Charlier is a scholar working on Molecular Medicine, Molecular Biology, Materials Chemistry, Infectious Diseases and Oncology, having authored 82 papers that have together received 4.8k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (36 papers), Enzyme Structure and Function (26 papers), Peptidase Inhibition and Analysis (13 papers), Bacterial Genetics and Biotechnology (11 papers), Biochemical and Molecular Research (8 papers), RNA and protein synthesis mechanisms (7 papers), Enzyme Production and Characterization (7 papers) and Microbial Natural Products and Biosynthesis (7 papers). The work is most often cited by research in Molecular Medicine (1.9k citations), Endocrinology (381 citations), Pharmacology (708 citations), Infectious Diseases (737 citations) and Genetics (1.1k citations). P. Charlier has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include E. Sauvage, Frédéric Kerff, Bernard Joris, Jean‐Marie Frère, Mohammed Terrak, Juan A. Ayala, Waldemar Vollmer, Simon J. Foster, O. Dideberg and Jean‐Marie Ghuysen. Their work appears in journals such as Biochemistry, Journal of Molecular Biology, Biochemical Journal, Cellular and Molecular Life Sciences and Journal of the American Chemical Society.

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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