Hugo Maas

25 total papers · 2.4k total citations
22 papers, 1.7k citations indexed

About

Hugo Maas is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Hematology. According to data from OpenAlex, Hugo Maas has authored 22 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 6 papers in Molecular Biology and 5 papers in Hematology. Recurrent topics in Hugo Maas's work include Atrial Fibrillation Management and Outcomes (5 papers), Venous Thromboembolism Diagnosis and Management (4 papers) and Blood Coagulation and Thrombosis Mechanisms (4 papers). Hugo Maas is often cited by papers focused on Atrial Fibrillation Management and Outcomes (5 papers), Venous Thromboembolism Diagnosis and Management (4 papers) and Blood Coagulation and Thrombosis Mechanisms (4 papers). Hugo Maas collaborates with scholars based in Germany, United Kingdom and Netherlands. Hugo Maas's co-authors include Mats O. Karlsson, Lena E. Friberg, Anja Henningsson, Laurent Nguyen, Martina Brueckmann, Ruth Harper, A. Pieter Kappetein, Maximilian T. Lobmeyer, Frans Van de Werf and Yasser Khder and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and Blood.

In The Last Decade

Hugo Maas

22 papers receiving 1.6k citations

Hit Papers

Dabigatran versus Warfari... 2013 2026 2017 2021 2013 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Hugo Maas 939 419 243 234 196 22 1.7k
Maximilian T. Lobmeyer 1.1k 1.2× 384 0.9× 57 0.2× 230 1.0× 98 0.5× 26 1.5k
Kathy L. Schulman 1.2k 1.3× 196 0.5× 202 0.8× 302 1.3× 101 0.5× 31 2.3k
D P Bentley 333 0.4× 268 0.6× 144 0.6× 94 0.4× 394 2.0× 35 1.3k
Giovanna D’Andrea 408 0.4× 363 0.9× 128 0.5× 165 0.7× 696 3.6× 42 2.1k
Jennifer F. Yamamoto 991 1.1× 73 0.2× 225 0.9× 220 0.9× 149 0.8× 17 2.0k
Eric Villard 1.4k 1.5× 158 0.4× 203 0.8× 132 0.6× 67 0.3× 47 2.1k
Martin Quinn 960 1.0× 249 0.6× 75 0.3× 150 0.6× 267 1.4× 45 1.6k
Karl‐Heinz Liesenfeld 1.6k 1.7× 1.1k 2.6× 41 0.2× 118 0.5× 178 0.9× 22 1.9k
Timothy E. Hayes 339 0.4× 123 0.3× 531 2.2× 448 1.9× 243 1.2× 28 2.3k
Paola Filabozzi 848 0.9× 283 0.7× 64 0.3× 64 0.3× 111 0.6× 17 1.5k

Countries citing papers authored by Hugo Maas

Since Specialization
Citations

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

Fields of papers citing papers by Hugo Maas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hugo Maas

This figure shows the co-authorship network connecting the top 25 collaborators of Hugo Maas. A scholar is included among the top collaborators of Hugo Maas 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 Hugo Maas. Hugo Maas 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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