A. de Waha

426 total citations
2 papers, 302 citations indexed

About

A. de Waha is a scholar working on Surgery, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, A. de Waha has authored 2 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Surgery, 1 paper in Molecular Biology and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in A. de Waha's work include Angiogenesis and VEGF in Cancer (1 paper), Cerebrovascular and Carotid Artery Diseases (1 paper) and Antiplatelet Therapy and Cardiovascular Diseases (1 paper). A. de Waha is often cited by papers focused on Angiogenesis and VEGF in Cancer (1 paper), Cerebrovascular and Carotid Artery Diseases (1 paper) and Antiplatelet Therapy and Cardiovascular Diseases (1 paper). A. de Waha collaborates with scholars based in Germany, Switzerland and Netherlands. A. de Waha's co-authors include A. Kastrati, Albert Schömig, Robert A. Byrne, Bernhard Meier, Patrick W. Serruys, Steffen Maßberg, Peter Jüni, Stephan Windecker, Giulio Stefanini and Petra Hoppmann and has published in prestigious journals such as European Heart Journal and Human Molecular Genetics.

In The Last Decade

A. de Waha

2 papers receiving 294 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
A. de Waha Germany 2 263 228 88 44 28 2 302
Martijn Scholte Netherlands 10 367 1.4× 299 1.3× 98 1.1× 56 1.3× 13 0.5× 15 411
Fusako Oshima Japan 2 363 1.4× 251 1.1× 142 1.6× 93 2.1× 19 0.7× 2 389
Maxime Tapponnier Switzerland 7 168 0.6× 137 0.6× 83 0.9× 23 0.5× 36 1.3× 14 269
Igal Moarof Switzerland 9 276 1.0× 253 1.1× 93 1.1× 50 1.1× 8 0.3× 11 340
Mun K Hong United States 12 258 1.0× 184 0.8× 77 0.9× 131 3.0× 9 0.3× 12 321
Kai Hogrefe United Kingdom 6 93 0.4× 106 0.5× 49 0.6× 27 0.6× 40 1.4× 17 180
Steen Carstensen Denmark 9 125 0.5× 237 1.0× 49 0.6× 105 2.4× 35 1.3× 24 322
Amin Ariff Nuruddin Malaysia 7 348 1.3× 249 1.1× 90 1.0× 160 3.6× 12 0.4× 19 387
Daniele Marinelli Italy 4 247 0.9× 203 0.9× 29 0.3× 34 0.8× 16 0.6× 13 293
Krzysztof Kukuła Poland 9 133 0.5× 214 0.9× 38 0.4× 100 2.3× 70 2.5× 28 311

Countries citing papers authored by A. de Waha

Since Specialization
Citations

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

Fields of papers citing papers by A. de Waha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. de Waha. 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 A. de Waha. The network helps show where A. de Waha may publish in the future.

Co-authorship network of co-authors of A. de Waha

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

All Works

2 of 2 papers shown

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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2026