Frederik Lange

41 total papers · 2.6k total citations
12 papers, 990 citations indexed

About

Frederik Lange is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Pharmacology. According to data from OpenAlex, Frederik Lange has authored 12 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 5 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Pharmacology. Recurrent topics in Frederik Lange's work include Advanced Neuroimaging Techniques and Applications (5 papers), Advanced MRI Techniques and Applications (4 papers) and Functional Brain Connectivity Studies (4 papers). Frederik Lange is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (5 papers), Advanced MRI Techniques and Applications (4 papers) and Functional Brain Connectivity Studies (4 papers). Frederik Lange collaborates with scholars based in United Kingdom, United States and Germany. Frederik Lange's co-authors include Jesper Andersson, Stephen M. Smith, Karla L. Miller, Chaoyue Wang, Christoph Arthofer, Ludovica Griffanti, Fidel Alfaro‐Almagro, Saâd Jbabdi, Paul J. McCarthy and Soojin Lee and has published in prestigious journals such as Nature, NeuroImage and Brain.

In The Last Decade

Frederik Lange

11 papers receiving 965 citations

Hit Papers

SARS-CoV-2 is associated ... 2022 2026 2023 2024 2022 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
Frederik Lange 669 243 225 212 185 12 990
Christoph Arthofer 677 1.0× 241 1.0× 225 1.0× 217 1.0× 185 1.0× 9 936
Bernd Taschler 661 1.0× 241 1.0× 226 1.0× 217 1.0× 183 1.0× 13 1.1k
Sam U. Ho 547 0.8× 193 0.8× 138 0.6× 142 0.7× 152 0.8× 17 1.2k
Tova Gardin 601 0.9× 175 0.7× 318 1.4× 100 0.5× 75 0.4× 8 885
É. Beaufils 528 0.8× 250 1.0× 264 1.2× 108 0.5× 96 0.5× 33 910
Susan Ling 702 1.0× 491 2.0× 144 0.6× 108 0.5× 218 1.2× 7 1.0k
Deena E. Kuruvilla 608 0.9× 174 0.7× 326 1.4× 142 0.7× 79 0.4× 28 1.0k
Shin Jie Yong 849 1.3× 354 1.5× 401 1.8× 121 0.6× 192 1.0× 12 1.2k
Zachary S. Orban 795 1.2× 283 1.2× 357 1.6× 163 0.8× 251 1.4× 18 928
Chen Chen 758 1.1× 350 1.4× 293 1.3× 67 0.3× 191 1.0× 17 951

Countries citing papers authored by Frederik Lange

Since Specialization
Citations

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

Fields of papers citing papers by Frederik Lange

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frederik Lange

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