Maximilian König

85 total papers · 2.1k total citations
36 papers, 939 citations indexed

About

Maximilian König is a scholar working on Geriatrics and Gerontology, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Maximilian König has authored 36 papers receiving a total of 939 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Geriatrics and Gerontology, 10 papers in Physiology and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Maximilian König's work include Frailty in Older Adults (7 papers), Cardiovascular Health and Disease Prevention (5 papers) and Blood Pressure and Hypertension Studies (5 papers). Maximilian König is often cited by papers focused on Frailty in Older Adults (7 papers), Cardiovascular Health and Disease Prevention (5 papers) and Blood Pressure and Hypertension Studies (5 papers). Maximilian König collaborates with scholars based in Germany, United States and Switzerland. Maximilian König's co-authors include Ilja Demuth, Elisabeth Steinhagen‐Thiessen, Dominik Spira, Nikolaus Buchmann, Kristina Norman, Uta Hillebrand, Stefan Reuter, Susanne Amler, Marcus Brand and Giovana Seno Di Marco and has published in prestigious journals such as Nature Medicine, PLoS ONE and Stroke.

In The Last Decade

Maximilian König

36 papers receiving 918 citations

Hit Papers

The artificial sweetener ... 2023 2026 2024 2023 2024 25 50 75 100

Author Peers

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

Author Last Decade Papers Cites
Maximilian König 255 207 130 122 122 36 939
Anna Skalska 307 1.2× 141 0.7× 145 1.1× 106 0.9× 144 1.2× 58 1.1k
Giuseppe Maltese 227 0.9× 213 1.0× 109 0.8× 245 2.0× 151 1.2× 52 1.1k
Chih-Hsueh Lin 313 1.2× 180 0.9× 99 0.8× 55 0.5× 200 1.6× 50 1.1k
Yu‐Li Lin 313 1.2× 103 0.5× 140 1.1× 254 2.1× 56 0.5× 87 965
Hui Jin 273 1.1× 205 1.0× 63 0.5× 170 1.4× 56 0.5× 73 1.1k
Pietro Gallina 142 0.6× 116 0.6× 118 0.9× 141 1.2× 121 1.0× 27 983
Jan Duława 167 0.7× 190 0.9× 82 0.6× 173 1.4× 45 0.4× 78 855
Magdi Yaqoob 112 0.4× 158 0.8× 79 0.6× 368 3.0× 67 0.5× 43 1.0k
Szu‐Chun Hung 299 1.2× 143 0.7× 152 1.2× 414 3.4× 47 0.4× 50 844
Masao Kanauchi 191 0.7× 259 1.3× 160 1.2× 334 2.7× 52 0.4× 57 1.1k

Countries citing papers authored by Maximilian König

Since Specialization
Citations

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

Fields of papers citing papers by Maximilian König

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maximilian König

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