Markus Nagler

46 total papers · 1.0k total citations
34 papers, 700 citations indexed

About

Markus Nagler is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Markus Nagler has authored 34 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 12 papers in Internal Medicine and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Markus Nagler's work include Venous Thromboembolism Diagnosis and Management (12 papers), Atrial Fibrillation Management and Outcomes (12 papers) and Blood Pressure and Hypertension Studies (5 papers). Markus Nagler is often cited by papers focused on Venous Thromboembolism Diagnosis and Management (12 papers), Atrial Fibrillation Management and Outcomes (12 papers) and Blood Pressure and Hypertension Studies (5 papers). Markus Nagler collaborates with scholars based in Germany, Netherlands and Greece. Markus Nagler's co-authors include Andreas Voß, Veronika Lerche, Philipp S. Wild, Thomas Münzel, Karl J. Lackner, Arthur M. Jacobs, Jürgen H. Prochaska, Marina Panova‐Noeva, Eugen Trinka and G. Ladurner and has published in prestigious journals such as PLoS ONE, Scientific Reports and Ophthalmology.

In The Last Decade

Markus Nagler

33 papers receiving 693 citations

Author Peers

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

Author Last Decade Papers Cites
Markus Nagler 340 166 79 70 57 34 700
Mark M. Span 229 0.7× 240 1.4× 127 1.6× 52 0.7× 81 1.4× 16 819
Christopher T. Smith 262 0.8× 123 0.7× 26 0.3× 111 1.6× 11 0.2× 27 677
Patrick S. Cooper 685 2.0× 140 0.8× 76 1.0× 55 0.8× 40 0.7× 28 845
Katharina Paul 533 1.6× 178 1.1× 56 0.7× 59 0.8× 32 0.6× 35 742
Andrea Reiter 354 1.0× 249 1.5× 77 1.0× 68 1.0× 47 0.8× 41 808
Bettina Studer 367 1.1× 111 0.7× 32 0.4× 92 1.3× 33 0.6× 36 669
Jason Martin 257 0.8× 114 0.7× 74 0.9× 77 1.1× 60 1.1× 31 803
Ashwini K. Pandey 460 1.4× 92 0.6× 64 0.8× 80 1.1× 15 0.3× 32 789
Xinhuai Wu 213 0.6× 83 0.5× 52 0.7× 57 0.8× 6 0.1× 33 746
Pio Enrico Ricci Bitti 227 0.7× 229 1.4× 52 0.7× 119 1.7× 44 0.8× 43 767

Countries citing papers authored by Markus Nagler

Since Specialization
Citations

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

Fields of papers citing papers by Markus Nagler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Nagler

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