Hiroshi Mitoma

4.0k total citations
113 papers, 2.6k citations indexed

About

Hiroshi Mitoma is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Hiroshi Mitoma has authored 113 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Neurology, 67 papers in Cellular and Molecular Neuroscience and 18 papers in Molecular Biology. Recurrent topics in Hiroshi Mitoma's work include Genetic Neurodegenerative Diseases (53 papers), Autoimmune Neurological Disorders and Treatments (35 papers) and Parkinson's Disease Mechanisms and Treatments (24 papers). Hiroshi Mitoma is often cited by papers focused on Genetic Neurodegenerative Diseases (53 papers), Autoimmune Neurological Disorders and Treatments (35 papers) and Parkinson's Disease Mechanisms and Treatments (24 papers). Hiroshi Mitoma collaborates with scholars based in Japan, Belgium and United States. Hiroshi Mitoma's co-authors include Mario Manto, Mitsuru Yoneyama, Shiro Konishi, Hidehiro Mizusawa, Christiane S. Hampe, Marios Hadjivassiliou, Kazuyuki Ishida, Jérôme Honnorat, Shinji Kakei and Takayoshi Kobayashi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Hiroshi Mitoma

111 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiroshi Mitoma Japan 30 1.3k 1.2k 483 454 283 113 2.6k
Tanja Schmitz‐Hübsch Germany 21 1.1k 0.8× 927 0.8× 579 1.2× 278 0.6× 320 1.1× 80 2.2k
Pramod Kumar Pal India 33 3.0k 2.3× 1.3k 1.1× 613 1.3× 517 1.1× 651 2.3× 316 4.2k
Jean‐Philippe Azulay France 31 2.0k 1.5× 858 0.7× 317 0.7× 315 0.7× 437 1.5× 107 2.8k
David Grabli France 34 2.2k 1.6× 1.1k 0.9× 230 0.5× 360 0.8× 729 2.6× 86 3.3k
Ioannis U. Isaias Italy 38 3.1k 2.3× 1.5k 1.3× 203 0.4× 406 0.9× 649 2.3× 119 3.9k
Pierre Krystkowiak France 36 3.5k 2.6× 2.0k 1.7× 405 0.8× 503 1.1× 708 2.5× 110 4.6k
William Zhu United States 10 1.8k 1.4× 524 0.4× 378 0.8× 208 0.5× 430 1.5× 17 2.7k
Christoph Scherfler Austria 36 2.9k 2.2× 1.2k 1.0× 337 0.7× 520 1.1× 694 2.5× 107 4.0k
Rivka Inzelberg Israel 35 2.3k 1.7× 840 0.7× 514 1.1× 1.0k 2.3× 994 3.5× 110 4.4k
Petra Schwingenschuh Austria 30 1.7k 1.3× 907 0.8× 204 0.4× 430 0.9× 407 1.4× 86 2.7k

Countries citing papers authored by Hiroshi Mitoma

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Mitoma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Mitoma

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

All Works

20 of 20 papers shown
1.
Manto, Mario & Hiroshi Mitoma. (2024). Immune Ataxias: The Continuum of Latent Ataxia, Primary Ataxia and Clinical Ataxia. Journal of Integrative Neuroscience. 23(4). 79–79. 1 indexed citations
2.
Mitoma, Hiroshi & Mario Manto. (2024). Recent advances in diagnosis of immune-mediated cerebellar ataxias: novel concepts and fundamental questions on autoimmune mechanisms. Journal of Neurology. 271(10). 7046–7053. 1 indexed citations
3.
Terashi, Hiroo, et al.. (2022). Clinical Features of Parkinson’s Disease in Patients with Early‐Onset Freezing of Gait. Parkinson s Disease. 2022(1). 4732020–4732020. 1 indexed citations
4.
Mitoma, Hiroshi & Mario Manto. (2022). Advances in the Pathogenesis of Auto-antibody-Induced Cerebellar Synaptopathies. The Cerebellum. 22(1). 129–147. 9 indexed citations
5.
Terashi, Hiroo, et al.. (2021). Relationship between 123I-FP-CIT-SPECT and motor severity in drug-naive patients with Parkinson's disease. Journal of the Neurological Sciences. 426. 117476–117476. 2 indexed citations
7.
Manto, Mario, Nicolas Dupré, Marios Hadjivassiliou, et al.. (2020). Management of Patients with Cerebellar Ataxia During the COVID-19 Pandemic: Current Concerns and Future Implications. The Cerebellum. 19(4). 562–568. 22 indexed citations
8.
Terashi, Hiroo, et al.. (2019). Association of daily physical activity with cognition and mood disorders in treatment-naive patients with early-stage Parkinson’s disease. Journal of Neural Transmission. 126(12). 1617–1624. 7 indexed citations
9.
Lee, Jongho, et al.. (2019). Evaluation of Rehabilitation for Upper Limb Ataxia. The Japanese Journal of Rehabilitation Medicine. 56(2). 94–100.
10.
Kakei, Shinji, Jongho Lee, Hiroshi Mitoma, et al.. (2019). Contribution of the Cerebellum to Predictive Motor Control and Its Evaluation in Ataxic Patients. Frontiers in Human Neuroscience. 13. 216–216. 26 indexed citations
11.
Cendelín, Jan, Hiroshi Mitoma, & Mario Manto. (2017). Neurotransplantation Therapy and Cerebellar Reserve. CNS & Neurological Disorders - Drug Targets. 17(3). 172–183. 11 indexed citations
12.
Sanjo, Nobuo, et al.. (2017). Whole-Day Gait Monitoring in Patients with Alzheimer’s Disease: A Relationship between Attention and Gait Cycle. Journal of Alzheimer s Disease Reports. 1(1). 1–8. 14 indexed citations
13.
Mitoma, Hiroshi, Mario Manto, & Christiane S. Hampe. (2017). Immune-mediated cerebellar ataxias: from bench to bedside. PubMed. 4(1). 16–16. 25 indexed citations
14.
Ishikawa, Takahiro, Shinji Kakei, & Hiroshi Mitoma. (2015). Overlooked Holmes’ clinical signs: reevaluation by recent physiological findings. PubMed. 2(1). 13–13. 11 indexed citations
15.
Yoneyama, Mitsuru, Yasuyuki Okuma, Hiroya Utsumi, Hiroo Terashi, & Hiroshi Mitoma. (2014). Human turnover dynamics during sleep: Statistical behavior and its modeling. Physical Review E. 89(3). 32721–32721. 5 indexed citations
16.
Nanri, Kazunori, Hisayoshi Niwa, Hiroshi Mitoma, et al.. (2012). Low-Titer Anti-GAD-Antibody-Positive Cerebellar Ataxia. The Cerebellum. 12(2). 171–175. 33 indexed citations
17.
Mitoma, Hiroshi, et al.. (2009). Factor structure of the Hospital Anxiety and Depression Scale in Japanese psychiatric outpatient and student populations. Health and Quality of Life Outcomes. 7(1). 42–42. 95 indexed citations
18.
Ishida, Kazuyuki, Hiroshi Mitoma, Tomonori Oka, et al.. (2006). Selective loss of Purkinje cells in a patient with anti-glutamic acid decarboxylase antibody-associated cerebellar ataxia. Journal of Neurology Neurosurgery & Psychiatry. 78(2). 190–192. 53 indexed citations
19.
Mitoma, Hiroshi, Kazuyuki Ishida, Masami Shizuka‐Ikeda, & Hidehiro Mizusawa. (2003). Dual impairment of GABAA- and GABAB-receptor-mediated synaptic responses by autoantibodies to glutamic acid decarboxylase. Journal of the Neurological Sciences. 208(1-2). 51–56. 41 indexed citations
20.
Mitoma, Hiroshi, Takayoshi Kobayashi, Si‐Young Song, & Shiro Konishi. (1994). Enhancement by serotonin of GABA-mediated inhibitory synaptic currents in rat cerebellar Purkinje cells. Neuroscience Letters. 173(1-2). 127–130. 77 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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