Michiel Vanmeert

1.0k citations
16 papers · 707 indexed · 1 hit paper · h-index 13

Michiel Vanmeert

16 papers receiving 700 citations

Hit Papers

Molecular Dynamics Simulations in Drug Discovery and Phar...3722020202620222024100200300

Peers

Michiel Vanmeert
Comparison fields: 5 of 107
  • Computational Theory and Mathematics 195
  • Infectious Diseases 116
  • Molecular Biology 317
  • Pharmacology 37
  • Organic Chemistry 102
Replace Rajendra Bhadane with:
Rajendra Bhadane Finland
Thales Kronenberger Germany
Sivakumar Prasanth Kumar India
Bilal Shaker South Korea
Parthiban Marimuthu Finland
Vijayakumar Gosu South Korea
Thandokuhle Ntombela South Africa
Richard Webb United Kingdom
Delaram Ghoreishi United States
Luís Fernando Saraiva Macedo Timmers Brazil
Michiel Vanmeert relative to Rajendra Bhadane Finland Rajendra Bhadane's profile →
Citations per field
00.5×10×15×20×23×
Rajendra Bhadane · 1×
Citations per year

Countries citing papers authored by Michiel Vanmeert

Since Specialization
Citations

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

Fields of papers citing papers by Michiel Vanmeert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 202214
2 202216
3 20214
4
Molecular Dynamics Simulations in Drug Discovery and Pharmaceutical Developmentbreakdown →
2020372
5 202024
6 20206
7 202022
8 201927
9 201930
10 201911
11 201912
12 201929
13 201823
14 201848
15 201837
16 201732

About Michiel Vanmeert

Michiel Vanmeert is a scholar working on Infectious Diseases, Microbiology and Developmental Neuroscience, having authored 16 papers that have together received 707 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Viral Infections and Vectors (3 papers), Viral Infections and Outbreaks Research (2 papers), Antimicrobial agents and applications (2 papers), Antimicrobial Peptides and Activities (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), vaccines and immunoinformatics approaches (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Computational Theory and Mathematics (195 citations), Infectious Diseases (116 citations) and Molecular Biology (317 citations). Michiel Vanmeert has collaborated with scholars based in Belgium, Pakistan and Finland. Frequent co-authors include Muhammad Usman Mirza, Outi M. H. Salo‐Ahen, Eveline Lescrinier, Matheus Froeyen, Atefeh Saadabadi, Ariane Nunes‐Alves, Kalaimathy Singaravelu, Aleksei Kabedev, Shakhawath Hossain and Rajendra Bhadane. Their work appears in journals such as Nucleic Acids Research, Angewandte Chemie International Edition and Scientific Reports.

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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