Mandy N. Lauw

67 total papers · 1.6k total citations
37 papers, 905 citations indexed

About

Mandy N. Lauw is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine and Hematology. According to data from OpenAlex, Mandy N. Lauw has authored 37 papers receiving a total of 905 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Internal Medicine, 10 papers in Cardiology and Cardiovascular Medicine and 9 papers in Hematology. Recurrent topics in Mandy N. Lauw's work include Venous Thromboembolism Diagnosis and Management (16 papers), Atrial Fibrillation Management and Outcomes (8 papers) and Acute Lymphoblastic Leukemia research (4 papers). Mandy N. Lauw is often cited by papers focused on Venous Thromboembolism Diagnosis and Management (16 papers), Atrial Fibrillation Management and Outcomes (8 papers) and Acute Lymphoblastic Leukemia research (4 papers). Mandy N. Lauw collaborates with scholars based in Netherlands, Canada and United States. Mandy N. Lauw's co-authors include Saskia Middeldorp, John W. Eikelboom, Stuart J. Connolly, Sacha Zeerleder, Gerard J. van Mierlo, Barbara A. Hutten, Thomas Vanassche, Joost C.M. Meijers, Maurits L. van Montfoort and Femke Stephan and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Mandy N. Lauw

36 papers receiving 886 citations

Author Peers

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

Author Last Decade Papers Cites
Mandy N. Lauw 420 326 202 137 124 37 905
Antoni Riera‐Mestre 268 0.6× 308 0.9× 134 0.7× 69 0.5× 121 1.0× 57 808
Suman L. Sood 197 0.5× 214 0.7× 370 1.8× 190 1.4× 101 0.8× 51 858
Vânia M. Morelli 207 0.5× 397 1.2× 514 2.5× 73 0.5× 102 0.8× 72 972
Madan Raj Aryal 328 0.8× 160 0.5× 99 0.5× 50 0.4× 80 0.6× 59 896
Renate Thalhammer 193 0.5× 129 0.4× 393 1.9× 133 1.0× 56 0.5× 35 1.0k
Alessandra Malato 382 0.9× 540 1.7× 279 1.4× 105 0.8× 127 1.0× 59 933
Maria T. DeSancho 168 0.4× 247 0.8× 259 1.3× 38 0.3× 152 1.2× 52 713
Tim Nokes 324 0.8× 455 1.4× 498 2.5× 60 0.4× 51 0.4× 29 1.0k
A. Weltermann 331 0.8× 535 1.6× 489 2.4× 46 0.3× 52 0.4× 34 1.0k
Orly Leiva 241 0.6× 198 0.6× 199 1.0× 46 0.3× 49 0.4× 69 863

Countries citing papers authored by Mandy N. Lauw

Since Specialization
Citations

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

Fields of papers citing papers by Mandy N. Lauw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mandy N. Lauw. 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 Mandy N. Lauw. The network helps show where Mandy N. Lauw may publish in the future.

Co-authorship network of co-authors of Mandy N. Lauw

This figure shows the co-authorship network connecting the top 25 collaborators of Mandy N. Lauw. A scholar is included among the top collaborators of Mandy N. Lauw 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 Mandy N. Lauw. Mandy N. Lauw 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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