Tohru Ibi

1.3k citations
33 papers · 554 · h-index 12

Impact in

Papers in

Tohru Ibi

33 papers receiving 542 citations

Peers

Tohru Ibi
Comparison fields: 5 of 72
  • Clinical Biochemistry 84
  • Cellular and Molecular Neuroscience 215
  • Neurology 104
  • Developmental Neuroscience 27
  • Molecular Biology 363
Replace Karlla W. Brigatti with:
Karlla W. Brigatti United States
Ko Sahashi Japan
Yoshio Morimatsu Japan
Qi‐Jie Zhang China
Sayaka Ono Japan
R Kratz United States
Stéphanie Efthymiou United Kingdom
Atsuhiko Toyoshima Japan
J. Colomer Spain
Marcello Scala Italy
Tohru Ibi relative to Karlla W. Brigatti United States Karlla W. Brigatti's profile →
Citations per field
00.5×1.5×1.9×
Karlla W. Brigatti · 1×
Citations per year

Countries citing papers authored by Tohru Ibi

Since Specialization
Citations

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

Fields of papers citing papers by Tohru Ibi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tohru Ibi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tohru Ibi Line = papers co-authored together Tohru Ibi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992148
2 201169
3 199164
4 199849
5 201426
6 198326
7 201024
8 199220
9 199415
10 201214
11 200413
12 201511
13 20129
14
[Immunostaining of anti-Bcl-2 antibody in diseased human muscles].
19967
15 19857
16
[Immunostaining of anti-Fas IgG1 antibody in diseased human muscle].
19957
17 19916
18 20085
19 19904
20 20044

About Tohru Ibi

Tohru Ibi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Clinical Biochemistry and Cardiology and Cardiovascular Medicine, having authored 33 papers that have together received 554 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (9 papers), Genetic Neurodegenerative Diseases (8 papers), Mitochondrial Function and Pathology (8 papers), Metabolism and Genetic Disorders (5 papers), Inflammatory Myopathies and Dermatomyositis (4 papers), Myasthenia Gravis and Thymoma (4 papers), Cardiomyopathy and Myosin Studies (3 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Clinical Biochemistry (84 citations), Cellular and Molecular Neuroscience (215 citations), Neurology (104 citations), Developmental Neuroscience (27 citations) and Molecular Biology (363 citations). Tohru Ibi has collaborated with scholars based in Japan, Taiwan and Italy. Frequent co-authors include Ko Sahashi, Kinji Ohno, Akira Takahashi, Mikako Ito, Naoki Nakao, Masafumi Ito, Yoshihiro Ishikawa, Takahisa Miyatake, Shunichiro Tsuji and Kimiyasu Sato. Their work appears in journals such as Acta Neuropathologica, Neurology, Annals of Neurology, Journal of the Neurological Sciences and Gerontology.

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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