Liesbeth Maes

435 citations
16 papers · 323 · h-index 13

Impact in

Papers in

    • Spider Taxonomy and Behavior Studies 4
    • Bacterial Genetics and Biotechnology 4
    • Insect and Arachnid Ecology and Behavior 3
    • Legionella and Acanthamoeba research 8
    • Vibrio bacteria research studies 2

Liesbeth Maes

16 papers receiving 319 citations

Peers

Liesbeth Maes
Comparison fields: 5 of 56
  • Endocrinology 101
  • Parasitology 33
  • Molecular Medicine 19
  • Genetics 88
  • Ecology, Evolution, Behavior and Systematics 49
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Citations per year

Countries citing papers authored by Liesbeth Maes

Since Specialization
Citations

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

Fields of papers citing papers by Liesbeth Maes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 200560
2 200435
3 200634
4 201025
5
Clinical and serological observations on experimental infections with Babesia canis and its diagnosis using the IFAT.
199522
6 200721
7 200320
8 201019
9 200414
10 200413
11 200413
12
Dwarf spiders (Erigoninae, Linyphiidae, Araneae) : good candidates for evolutionary research
200313
13 201112
14 20088
15 20068
16
Comparative study of courtship and copulation in five Oedothorax species
20046

About Liesbeth Maes

Liesbeth Maes is a scholar working on Genetics, Endocrinology, Ecology, Evolution, Behavior and Systematics, Molecular Biology and Parasitology, having authored 16 papers that have together received 323 indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (8 papers), Spider Taxonomy and Behavior Studies (4 papers), Bacterial Genetics and Biotechnology (4 papers), Animal Behavior and Reproduction (4 papers), Insect and Arachnid Ecology and Behavior (3 papers), Vibrio bacteria research studies (2 papers), Bacterial biofilms and quorum sensing (2 papers) and Parasitic Infections and Diagnostics (2 papers). The work is most often cited by research in Endocrinology (101 citations), Parasitology (33 citations), Molecular Medicine (19 citations), Genetics (88 citations) and Ecology, Evolution, Behavior and Systematics (49 citations). Liesbeth Maes has collaborated with scholars based in Belgium, United States and Vietnam. Frequent co-authors include Jozef Anné, Elke Lammertyn, Emmy De Buck, Lieve Van Mellaert, Nick Geukens, Jean‐Pierre Maelfait, Frederik Hendrickx, R. De Deken, F. Vercammen and Xavier Bossuyt. Their work appears in journals such as Biochemical and Biophysical Research Communications, Research in Microbiology, Chemistry & Biodiversity, Microbial Ecology and Arthritis Research & Therapy.

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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