J.-M. Frère

5.1k total citations
108 papers, 4.0k citations indexed

About

J.-M. Frère is a scholar working on Molecular Medicine, Molecular Biology and Nuclear and High Energy Physics. According to data from OpenAlex, J.-M. Frère has authored 108 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Medicine, 38 papers in Molecular Biology and 29 papers in Nuclear and High Energy Physics. Recurrent topics in J.-M. Frère's work include Antibiotic Resistance in Bacteria (52 papers), Particle physics theoretical and experimental studies (25 papers) and Peptidase Inhibition and Analysis (18 papers). J.-M. Frère is often cited by papers focused on Antibiotic Resistance in Bacteria (52 papers), Particle physics theoretical and experimental studies (25 papers) and Peptidase Inhibition and Analysis (18 papers). J.-M. Frère collaborates with scholars based in Belgium, United States and France. J.-M. Frère's co-authors include Bernard Joris, Moreno Galleni, S Normark, Christine Jacobs, André Matagne, Gianfranco Amicosante, M. Galleni, Rafel Escribano, Jean‐Marie Ghuysen and Jozef Van Beeumen and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

J.-M. Frère

106 papers receiving 3.9k citations

Peers

J.-M. Frère
Comparison fields: 5 of 103
  • Molecular Medicine 2.2k
  • Molecular Biology 1.4k
  • Pharmacology 875
  • Nuclear and High Energy Physics 656
  • Epidemiology 584
Replace Satoshi Ohya with:
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O. Dideberg France
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Jean‐Pierre Samama France
Satoshi Ohya Japan View profile →
Citations per field, relative to J.-M. Frère
J.-M. Frère · 1×
Citations per year, relative to J.-M. Frère
J.-M. Frère · 1×

Countries citing papers authored by J.-M. Frère

Since Specialization
Citations

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

Fields of papers citing papers by J.-M. Frère

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.-M. Frère

This figure shows the co-authorship network connecting the top 25 collaborators of J.-M. Frère. A scholar is included among the top collaborators of J.-M. Frère based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J.-M. Frère. J.-M. Frère is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1
Neutrino hierarchy and fermion spectrum from a single family in six dimensions: realistic predictions
0
2 9
3 51
4 24
5 17
6 27
7
Functional heterogeneity of VIM-type metallo-beta-lactamases Identification of residues critical to substrate binding
1
8 40
9 20
10 38
11 111
12 54
13 270
14 37
15 86
16 16
17 21
18 93
19 31
20 1

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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