Kenichi Kaida

4.8k total citations
71 papers, 1.2k citations indexed

About

Kenichi Kaida is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Kenichi Kaida has authored 71 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Neurology, 43 papers in Cellular and Molecular Neuroscience and 8 papers in Molecular Biology. Recurrent topics in Kenichi Kaida's work include Peripheral Neuropathies and Disorders (45 papers), Hereditary Neurological Disorders (36 papers) and Autoimmune Neurological Disorders and Treatments (8 papers). Kenichi Kaida is often cited by papers focused on Peripheral Neuropathies and Disorders (45 papers), Hereditary Neurological Disorders (36 papers) and Autoimmune Neurological Disorders and Treatments (8 papers). Kenichi Kaida collaborates with scholars based in Japan, United States and Poland. Kenichi Kaida's co-authors include Susumu Kusunoki, Keiko Kamakura, Kazuo Motoyoshi, Masami Ueda, Go Ogawa, Mami Kanzaki, Ichiro Kanazawa, Daiji Morita, Minako Hirakawa and Masato Kadoya and has published in prestigious journals such as Brain, Neurology and Annals of Neurology.

In The Last Decade

Kenichi Kaida

62 papers receiving 1.2k citations

Peers

Kenichi Kaida
Comparison fields: 5 of 69
  • Neurology 991
  • Cellular and Molecular Neuroscience 735
  • Radiology, Nuclear Medicine and Imaging 149
  • Molecular Biology 140
  • Physiology 104
Replace María J. Sedano with:
María J. Sedano Spain
Minako Beppu Japan
K. Kaida Japan
J. Pollard Australia
Ryo Obata Japan
Marc De Baets Netherlands
Sanjay C. Keswani United States
Nicholas J. Silvestri United States
Yong‐Won Shin South Korea
M. Kadlubowski United Kingdom
María J. Sedano Spain View profile →
Citations per field, relative to Kenichi Kaida
Kenichi Kaida · 1×
Citations per year, relative to Kenichi Kaida
Kenichi Kaida · 1×

Countries citing papers authored by Kenichi Kaida

Since Specialization
Citations

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

Fields of papers citing papers by Kenichi Kaida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenichi Kaida

This figure shows the co-authorship network connecting the top 25 collaborators of Kenichi Kaida. A scholar is included among the top collaborators of Kenichi Kaida 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 Kenichi Kaida. Kenichi Kaida 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
# Work Indexed citations
1 0
2 0
3 1
4 24
5 24
6 1
7 3
8 3
9 7
10 57
11 6
12 19
13 20
14 59
15 11
16 131
17 36
18 17
19 17
20 8

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026