This map shows the geographic impact of Alex 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 Alex Maes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Maes more than expected).
This network shows the impact of papers produced by Alex 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 Alex Maes. The network helps show where Alex Maes may publish in the future.
Co-authorship network of co-authors of Alex Maes
This figure shows the co-authorship network connecting the top 25 collaborators of Alex Maes.
A scholar is included among the top collaborators of Alex Maes 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 Alex Maes. Alex Maes is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Herbots, Lieven, Frederik Maes, Jan D’hooge, et al.. (2003). Quantifying myocardial deformation throughout the cardiac cycle - A comparison of ultrasound strain rate, grey-scale M-mode and magnetic resonance imaging. Circulation. 108(17). 659–659.1 indexed citations
Flamen, Patrick, Eric Van Cutsem, Antoon Lerut, et al.. (2001). Serial positron emission tomography (PET) to assess the response of preoperative induction chemoradiotherapy in advanced esophageal cancer in relation to survival. European Journal of Nuclear Medicine and Molecular Imaging. 28(8). 961–961.1 indexed citations
10.
Mesotten, Liesbet, Xuesong Liu, Johan Nuyts, et al.. (2001). Transition from chronic stunning to hibernation and further on to necrosis in a porcine model of chronic ischemia identified with PET. Circulation. 104(17). 455–455.1 indexed citations
Ziętkiewicz, Mirosław, Bartłomiej Perek, Alex Maes, et al.. (1999). Reversed mismatch preceeds match patterns using PET analysis in failing myocardium with patchy necrosis. Circulation. 100(18). 88–88.4 indexed citations
13.
Everaert, Hendrik, et al.. (1998). Nuclear cardiology, Part II: Scintigraphic evaluation of cardiac function.. PubMed. 26(2). 72–9; quiz 84, 86.3 indexed citations
14.
Oord, Joost van den, Alex Maes, Marguerite Stas, et al.. (1997). Prognostic significance of nm23-protein expression in malignant melanoma. Melanoma Research. 8. 121–128.1 indexed citations
15.
Vansteenkiste, Johan, Sigrid Stroobants, Paul De Leyn, et al.. (1997). Lymph node mapping in non-small cell lung cancer with FDG-PET scan: a prospective study in 690 LN levels from 68 patients.3 indexed citations
Maes, Alex, Luc Mortelmans, Johan Nuyts, Alfons Verbruggen, & Frans Van de Werf. (1994). Myocardial tissue perfusion measured with PET in patients with TIMI flow grade 3 after thrombolysis. Circulation. 90(4).1 indexed citations
18.
Shivalkar, Bharati, Michael A. Borger, Alex Maes, Luc Mortelmans, & Willem Flameng. (1994). Low regional function-associated with high metabolism predicts functional recovery after coronary-bypass surgery. Circulation. 90(4). 251–251.7 indexed citations
19.
Maes, Alex, Luc Mortelmans, Johan Nuyts, et al.. (1993). Myocardial tissue perfusion measured with PET after successful thrombolysis in patients with acute myocardial infarction. European Heart Journal. 14. 438–438.1 indexed citations
20.
Maes, Alex & F Eulderink. (1989). Chondrolipoma of the tongue. Histopathology. 14(6). 660–662.24 indexed citations
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.