Marika Ganten

24 total papers · 485 total citations
19 papers, 359 citations indexed

About

Marika Ganten is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Marika Ganten has authored 19 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Surgery. Recurrent topics in Marika Ganten's work include Aortic aneurysm repair treatments (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Cardiovascular Health and Disease Prevention (3 papers). Marika Ganten is often cited by papers focused on Aortic aneurysm repair treatments (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Cardiovascular Health and Disease Prevention (3 papers). Marika Ganten collaborates with scholars based in Germany and Italy. Marika Ganten's co-authors include Hans‐Ulrich Kauczor, Hendrik von Tengg‐Kobligk, Markus Düx, H. Schumacher, Dittmar Böckler, Andreas Lubienski, Lars Grenacher, Jens‐Rainer Allenberg, Hubert J. Bardenheuer and Christian Fink and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Journal of Thoracic and Cardiovascular Surgery and American Journal of Roentgenology.

In The Last Decade

Marika Ganten

19 papers receiving 347 citations

Author Peers

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

Author						Papers	Cites
Marika Ganten	203	139	133	109	53	19	359
Garrett B. Wong	96 0.5×	90 0.6×	154 1.2×	153 1.4×	43 0.8×	14	322
Yu Sugawara	77 0.4×	106 0.8×	127 1.0×	168 1.5×	12 0.2×	23	315
Boris P. Eckhardt	137 0.7×	86 0.6×	74 0.6×	53 0.5×	24 0.5×	16	345
Steen Christian Kofoed	133 0.7×	32 0.2×	145 1.1×	94 0.9×	121 2.3×	16	361
Robert L. Rothbard	79 0.4×	83 0.6×	128 1.0×	242 2.2×	41 0.8×	13	339
Cüneyt Türkoğlu	135 0.7×	45 0.3×	118 0.9×	192 1.8×	12 0.2×	26	353
Jens J. Thiis	98 0.5×	39 0.3×	178 1.3×	136 1.2×	24 0.5×	22	353
Luiz Pinheiro	191 0.9×	41 0.3×	113 0.8×	173 1.6×	13 0.2×	26	362
O. R. van Reenen	54 0.3×	32 0.2×	103 0.8×	77 0.7×	166 3.1×	16	338
Vita V. Sullivan	130 0.6×	25 0.2×	162 1.2×	97 0.9×	79 1.5×	17	376

Countries citing papers authored by Marika Ganten

Since Specialization

Citations

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

Fields of papers citing papers by Marika Ganten

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marika Ganten

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