Jannis Müller

47 total papers · 768 total citations
20 papers, 263 citations indexed

About

Jannis Müller is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Jannis Müller has authored 20 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pathology and Forensic Medicine, 9 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Molecular Biology. Recurrent topics in Jannis Müller's work include Multiple Sclerosis Research Studies (9 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and Migraine and Headache Studies (4 papers). Jannis Müller is often cited by papers focused on Multiple Sclerosis Research Studies (9 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and Migraine and Headache Studies (4 papers). Jannis Müller collaborates with scholars based in Switzerland, United States and Germany. Jannis Müller's co-authors include Stefano Magon, Arne May, Christian Seifert, Faisal Mohammad Amin, M. Mallar Chakravarty, Peter J. Goadsby, Messoud Ashina, Anne Stankewitz, Till Sprenger and Cristina Granziera and has published in prestigious journals such as The Lancet, Journal of Neuroscience and Neurology.

In The Last Decade

Jannis Müller

18 papers receiving 260 citations

Hit Papers

Harmonizing Definitions f... 2023 2026 2024 2023 25 50 75

Author Peers

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

Author Last Decade Papers Cites
Jannis Müller 148 106 58 48 47 20 263
Piotr Sowa 169 1.1× 47 0.4× 56 1.0× 37 0.8× 40 0.9× 27 303
R Mutani 73 0.5× 73 0.7× 91 1.6× 32 0.7× 32 0.7× 13 302
F. Yıldız 43 0.3× 93 0.9× 38 0.7× 33 0.7× 70 1.5× 29 301
Vikram Bhise 122 0.8× 95 0.9× 26 0.4× 11 0.2× 28 0.6× 19 271
Ermelinda De Meo 204 1.4× 29 0.3× 65 1.1× 22 0.5× 39 0.8× 21 262
Simone Sacco 68 0.5× 38 0.4× 35 0.6× 49 1.0× 27 0.6× 17 207
Silvia Messina 188 1.3× 35 0.3× 100 1.7× 27 0.6× 19 0.4× 15 297
Luciana Ramalho Pimentel‐Silva 48 0.3× 104 1.0× 29 0.5× 24 0.5× 27 0.6× 26 268
Stefano Ziccardi 226 1.5× 23 0.2× 60 1.0× 61 1.3× 35 0.7× 28 292
Qin Chen 38 0.3× 77 0.7× 40 0.7× 24 0.5× 77 1.6× 28 265

Countries citing papers authored by Jannis Müller

Since Specialization
Citations

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

Fields of papers citing papers by Jannis Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jannis Müller

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