Gert Laekeman

369 total papers · 1.9k total citations
88 papers, 1.4k citations indexed

About

Gert Laekeman is a scholar working on Pharmacology, Geriatrics and Gerontology and Molecular Biology. According to data from OpenAlex, Gert Laekeman has authored 88 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Pharmacology, 14 papers in Geriatrics and Gerontology and 12 papers in Molecular Biology. Recurrent topics in Gert Laekeman's work include Pharmaceutical Practices and Patient Outcomes (14 papers), Inflammatory mediators and NSAID effects (13 papers) and Mental Health Treatment and Access (6 papers). Gert Laekeman is often cited by papers focused on Pharmaceutical Practices and Patient Outcomes (14 papers), Inflammatory mediators and NSAID effects (13 papers) and Mental Health Treatment and Access (6 papers). Gert Laekeman collaborates with scholars based in Belgium, United States and Türkiye. Gert Laekeman's co-authors include Steven Simoens, A.G. Herman, Tim Smits, Veerle Foulon, Arnold Vlietinck, A. J. Vlietinck, Arnold G. Herman, A. G. Herman, Siska Desplenter and Simon Scharpé and has published in prestigious journals such as Kidney International, British Journal of Cancer and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Gert Laekeman

83 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gert Laekeman 316 311 228 174 168 88 1.4k
Isabel Vitória Figueiredo 324 1.0× 159 0.5× 165 0.7× 82 0.5× 99 0.6× 97 1.5k
Sandy Jeong Rhie 477 1.5× 104 0.3× 207 0.9× 226 1.3× 83 0.5× 78 1.8k
Joanna Harnett 157 0.5× 172 0.6× 91 0.4× 97 0.6× 119 0.7× 110 1.3k
Rieko Nakata 513 1.6× 147 0.5× 155 0.7× 80 0.5× 147 0.9× 62 1.5k
Mareni Rocha Farías 215 0.7× 195 0.6× 178 0.8× 50 0.3× 91 0.5× 82 1.5k
Abdulrhman Alsayari 397 1.3× 182 0.6× 127 0.6× 103 0.6× 127 0.8× 105 1.7k
Darko Modun 216 0.7× 224 0.7× 93 0.4× 72 0.4× 75 0.4× 70 1.6k
Workineh Shibeshi 149 0.5× 347 1.1× 104 0.5× 72 0.4× 160 1.0× 73 1.3k
Eman Abu‐Gharbieh 288 0.9× 165 0.5× 153 0.7× 82 0.5× 108 0.6× 89 1.2k
Marta Maria de França Fonteles 337 1.1× 177 0.6× 63 0.3× 223 1.3× 130 0.8× 132 1.7k

Countries citing papers authored by Gert Laekeman

Since Specialization
Citations

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

Fields of papers citing papers by Gert Laekeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gert Laekeman

This figure shows the co-authorship network connecting the top 25 collaborators of Gert Laekeman. A scholar is included among the top collaborators of Gert Laekeman 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 Gert Laekeman. Gert Laekeman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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