Martin G. Mack

142 total papers · 3.7k total citations
94 papers, 2.7k citations indexed

About

Martin G. Mack is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Surgery. According to data from OpenAlex, Martin G. Mack has authored 94 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Radiology, Nuclear Medicine and Imaging, 26 papers in Biomedical Engineering and 23 papers in Surgery. Recurrent topics in Martin G. Mack's work include Hepatocellular Carcinoma Treatment and Prognosis (20 papers), Ultrasound and Hyperthermia Applications (13 papers) and MRI in cancer diagnosis (10 papers). Martin G. Mack is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (20 papers), Ultrasound and Hyperthermia Applications (13 papers) and MRI in cancer diagnosis (10 papers). Martin G. Mack collaborates with scholars based in Germany, Singapore and Egypt. Martin G. Mack's co-authors include Thomas J. Vogl, Katrin Eichler, Ralf Straub, Jörn O. Balzer, Dirk Woitaschek, Wolfgang Gstœttner, Thomas Lehnert, O Söllner, Stephan Zangos and Oliver F. Adunka and has published in prestigious journals such as Radiology, American Journal of Roentgenology and The Laryngoscope.

In The Last Decade

Martin G. Mack

89 papers receiving 2.7k citations

Author Peers

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

Author Last Decade Papers Cites
Martin G. Mack 820 684 594 574 556 94 2.7k
Gerlig Widmann 649 0.8× 535 0.8× 444 0.7× 877 1.5× 362 0.7× 156 3.0k
Gabriele A. Krombach 2.0k 2.4× 746 1.1× 810 1.4× 881 1.5× 107 0.2× 230 4.3k
Roland Brüning 957 1.2× 368 0.5× 443 0.7× 518 0.9× 75 0.1× 96 3.2k
Jan Casselman 1.1k 1.4× 415 0.6× 408 0.7× 1.3k 2.2× 50 0.1× 158 4.9k
Jean Fasel 215 0.3× 821 1.2× 533 0.9× 1.9k 3.3× 140 0.3× 139 3.9k
Michaël Reinhardt 1.2k 1.5× 629 0.9× 608 1.0× 445 0.8× 108 0.2× 103 3.6k
Leena M. Hamberg 3.0k 3.7× 1.1k 1.6× 975 1.6× 642 1.1× 67 0.1× 67 4.9k
Kiaran P. McGee 1.6k 1.9× 884 1.3× 362 0.6× 240 0.4× 105 0.2× 98 2.4k
Nour-Eldin A. Nour-Eldin 744 0.9× 729 1.1× 847 1.4× 397 0.7× 707 1.3× 91 2.5k
Daniel Thomas Ginat 702 0.9× 271 0.4× 653 1.1× 1.0k 1.8× 35 0.1× 189 2.9k

Countries citing papers authored by Martin G. Mack

Since Specialization
Citations

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

Fields of papers citing papers by Martin G. Mack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin G. Mack. 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 Martin G. Mack. The network helps show where Martin G. Mack may publish in the future.

Co-authorship network of co-authors of Martin G. Mack

This figure shows the co-authorship network connecting the top 25 collaborators of Martin G. Mack. A scholar is included among the top collaborators of Martin G. Mack 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 Martin G. Mack. Martin G. Mack 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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