N. Maes

1.0k citations
15 papers · 832 · h-index 11

Impact in

    • Antibiotic Resistance in Bacteria
    • Vibrio bacteria research studies
    • Legionella and Acanthamoeba research
    • Enterobacteriaceae and Cronobacter Research

Papers in

N. Maes

15 papers receiving 780 citations

Peers

N. Maes
Comparison fields: 5 of 62
  • Molecular Medicine 239
  • Endocrinology 208
  • Clinical Biochemistry 243
  • Infectious Diseases 405
  • Applied Microbiology and Biotechnology 31
Replace Yves De Gheldre with:
Yves De Gheldre Belgium
Johannes G.M. Koeleman Netherlands
Robert D. Arbeit United States
T.L. Pitt United Kingdom
Carol Webster United Kingdom
Savita Gossain United Kingdom
P. H. Lagrange France
Andrew N. Ginn Australia
Stefan Bletz Germany
Horacio Lopardo Argentina
N. Maes relative to Yves De Gheldre Belgium Yves De Gheldre's profile →
Citations per field
00.5×1.5×
Yves De Gheldre · 1×
Citations per year

Countries citing papers authored by N. Maes

Since Specialization
Citations

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

Fields of papers citing papers by N. Maes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1992181
2 2002168
3 1993128
4 199771
5 199268
6 199767
7 200166
8 200330
9 200114
10 198613
11 199910
12 19959
13 19983
14 19982
15 19972

About N. Maes

N. Maes is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Endocrinology and Molecular Medicine, having authored 15 papers that have together received 832 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (5 papers), Infective Endocarditis Diagnosis and Management (4 papers), Bacterial biofilms and quorum sensing (4 papers), Legionella and Acanthamoeba research (4 papers), Antibiotic Resistance in Bacteria (3 papers), Mycobacterium research and diagnosis (2 papers), Antifungal resistance and susceptibility (2 papers) and Vibrio bacteria research studies (2 papers). The work is most often cited by research in Molecular Medicine (239 citations), Endocrinology (208 citations), Clinical Biochemistry (243 citations), Infectious Diseases (405 citations) and Applied Microbiology and Biotechnology (31 citations). N. Maes has collaborated with scholars based in Belgium, Netherlands and Czechia. Frequent co-authors include Marc Struelens, Yves De Gheldre, E. Serruys, A. Deplano, C. Godard, Juana Magdalena, S. Rottiers, Eric Carlier, W G Quint and Alex van Belkum. Their work appears in journals such as Journal of Clinical Microbiology, Clinical Microbiology and Infection, The Journal of Infectious Diseases, Clinical Infectious Diseases and Research in Microbiology.

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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