Geert van Waeg

31 total papers · 455 total citations
23 papers, 382 citations indexed

About

Geert van Waeg is a scholar working on Biochemistry, Molecular Biology and Physiology. According to data from OpenAlex, Geert van Waeg has authored 23 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biochemistry, 7 papers in Molecular Biology and 7 papers in Physiology. Recurrent topics in Geert van Waeg's work include Blood transfusion and management (8 papers), Biochemical and Molecular Research (7 papers) and Adenosine and Purinergic Signaling (7 papers). Geert van Waeg is often cited by papers focused on Blood transfusion and management (8 papers), Biochemical and Molecular Research (7 papers) and Adenosine and Purinergic Signaling (7 papers). Geert van Waeg collaborates with scholars based in Sweden, Germany and Belgium. Geert van Waeg's co-authors include Greet Van den Berghe, J. Zingsem, Frank Niklasson, Volker Weisbach, A. Glaser, R. Zimmermann, R. Eckstein, Torgny Groth, Hermann Eichler and C.‐H. de Verdier and has published in prestigious journals such as Journal of Clinical Investigation, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology and Clinica Chimica Acta.

In The Last Decade

Geert van Waeg

23 papers receiving 363 citations

Author Peers

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

Author Last Decade Papers Cites
Geert van Waeg 202 167 140 62 61 23 382
Michael R. Owens 146 0.7× 205 1.2× 63 0.5× 3 0.0× 43 0.7× 24 377
Shirley L. Rivers 127 0.6× 90 0.5× 7 0.1× 7 0.1× 124 2.0× 19 424
Tariq Roshan 29 0.1× 98 0.6× 79 0.6× 5 0.1× 44 0.7× 29 364
M. J. Dijkstra‐Tiekstra 217 1.1× 173 1.0× 108 0.8× 1 0.0× 24 0.4× 23 360
Sanne de Bruin 159 0.8× 82 0.5× 35 0.3× 2 0.0× 75 1.2× 18 422
Deborah Chen 136 0.7× 88 0.5× 49 0.3× 2 0.0× 50 0.8× 20 367
Andrea Heger 170 0.8× 148 0.9× 131 0.9× 1 0.0× 79 1.3× 23 368
Jean‐Marc Payrat 267 1.3× 192 1.1× 123 0.9× 1 0.0× 14 0.2× 20 392
Laurent Bardiaux 172 0.9× 158 0.9× 71 0.5× 1 0.0× 51 0.8× 25 353
T. Schulzki 136 0.7× 144 0.9× 82 0.6× 31 0.5× 26 369

Countries citing papers authored by Geert van Waeg

Since Specialization
Citations

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

Fields of papers citing papers by Geert van Waeg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geert van Waeg. 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 Geert van Waeg. The network helps show where Geert van Waeg may publish in the future.

Co-authorship network of co-authors of Geert van Waeg

This figure shows the co-authorship network connecting the top 25 collaborators of Geert van Waeg. A scholar is included among the top collaborators of Geert van Waeg 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 Geert van Waeg. Geert van Waeg 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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