Muna Hoshi

4.5k total citations · 1 hit paper
9 papers, 1.2k citations indexed

About

Muna Hoshi is a scholar working on Pathology and Forensic Medicine, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Muna Hoshi has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pathology and Forensic Medicine, 4 papers in Neurology and 3 papers in Cognitive Neuroscience. Recurrent topics in Muna Hoshi's work include Multiple Sclerosis Research Studies (5 papers), Vestibular and auditory disorders (4 papers) and Visual perception and processing mechanisms (3 papers). Muna Hoshi is often cited by papers focused on Multiple Sclerosis Research Studies (5 papers), Vestibular and auditory disorders (4 papers) and Visual perception and processing mechanisms (3 papers). Muna Hoshi collaborates with scholars based in Germany and United States. Muna Hoshi's co-authors include Achim Berthele, Bernhard Hemmer, Mark Mühlau, Dorothea Buck, Christian Gaser, Annette Förschler, Claus Zimmer, Milan Arsić, Rüdiger Ilg and Paul Schmidt and has published in prestigious journals such as NeuroImage, The Journal of Comparative Neurology and Annals of Neurology.

In The Last Decade

Muna Hoshi

9 papers receiving 1.2k citations

Hit Papers

An automated tool for detection of FLAIR-hyperintense whi... 2011 2026 2016 2021 2011 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Muna Hoshi Germany 8 467 377 350 231 205 9 1.2k
Milan Arsić Germany 5 357 0.8× 410 1.1× 219 0.6× 244 1.1× 258 1.3× 5 1.1k
Marita Daams Netherlands 19 875 1.9× 436 1.2× 207 0.6× 142 0.6× 87 0.4× 23 1.4k
Dominik Meier United States 28 847 1.8× 597 1.6× 245 0.7× 106 0.5× 138 0.7× 60 2.0k
Annette Förschler Germany 23 455 1.0× 821 2.2× 348 1.0× 287 1.2× 314 1.5× 43 2.4k
Maria Kristoffersen Wiberg Sweden 30 476 1.0× 722 1.9× 204 0.6× 202 0.9× 258 1.3× 74 2.3k
Xing‐Chang Wei Canada 20 164 0.4× 288 0.8× 121 0.3× 198 0.9× 273 1.3× 56 1.3k
Shona Clegg United Kingdom 8 229 0.5× 203 0.5× 154 0.4× 261 1.1× 311 1.5× 11 1.0k
Daniel García-Lorenzo France 22 522 1.1× 561 1.5× 406 1.2× 425 1.8× 211 1.0× 34 2.0k
Vincent Noblet France 22 158 0.3× 598 1.6× 199 0.6× 333 1.4× 262 1.3× 94 1.6k
Yunyun Duan China 25 697 1.5× 977 2.6× 205 0.6× 967 4.2× 207 1.0× 81 2.1k

Countries citing papers authored by Muna Hoshi

Since Specialization
Citations

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

Fields of papers citing papers by Muna Hoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muna Hoshi

This figure shows the co-authorship network connecting the top 25 collaborators of Muna Hoshi. A scholar is included among the top collaborators of Muna Hoshi 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 Muna Hoshi. Muna Hoshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Kümpfel, Tania, Sandra Thiel, Ingrid Meinl, et al.. (2020). Anti-CD20 therapies and pregnancy in neuroimmunologic disorders. Neurology Neuroimmunology & Neuroinflammation. 8(1). 45 indexed citations
2.
Kowarik, Markus C., Muna Hoshi, Bernhard Hemmer, & Achim Berthele. (2016). Failure of alemtuzumab as a rescue in a NMOSD patient treated with rituximab. Neurology Neuroimmunology & Neuroinflammation. 3(2). e208–e208. 9 indexed citations
3.
Mühlau, Mark, Dorothea Buck, Annette Förschler, et al.. (2013). White-matter lesions drive deep gray-matter atrophy in early multiple sclerosis: support from structural MRI. Multiple Sclerosis Journal. 19(11). 1485–1492. 48 indexed citations
4.
Schmidt, Paul, Christian Gaser, Milan Arsić, et al.. (2011). An automated tool for detection of FLAIR-hyperintense white-matter lesions in Multiple Sclerosis. NeuroImage. 59(4). 3774–3783. 927 indexed citations breakdown →
5.
Schweikert, Andreas, Muna Hoshi, Bernhard Hemmer, & Achim Berthele. (2011). Natalizumab and primary central nervous system lymphoma revisited. Annals of Neurology. 69(6). 1061–1062. 1 indexed citations
6.
Glasauer, Stefan, Muna Hoshi, & U. Büttner. (2005). Smooth Pursuit in Patients with Downbeat Nystagmus. Annals of the New York Academy of Sciences. 1039(1). 532–535. 19 indexed citations
7.
Kleine, Justus F., et al.. (2004). Trunk Position Influences Vestibular Responses of Fastigial Nucleus Neurons in the Alert Monkey. Journal of Neurophysiology. 91(5). 2090–2100. 63 indexed citations
8.
Glasauer, Stefan, et al.. (2003). Three-Dimensional Eye Position and Slow Phase Velocity in Humans With Downbeat Nystagmus. Journal of Neurophysiology. 89(1). 338–354. 96 indexed citations
9.
Hoshi, Muna, et al.. (1998). Dependence of parvalbumin expression on Purkinje cell input in the deep cerebellar nuclei. The Journal of Comparative Neurology. 392(4). 499–514. 18 indexed citations

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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