Eiko Okada

622 citations
30 papers · 495 · h-index 12

Impact in

Papers in

Eiko Okada

30 papers receiving 464 citations

Peers

Eiko Okada
Comparison fields: 5 of 91
  • Developmental Neuroscience 52
  • Internal Medicine 30
  • Cellular and Molecular Neuroscience 97
  • Rheumatology 69
  • Hematology 48
Replace C. Legrand with:
C. Legrand France
Sueshige Wakisaka Japan
L Rigamonti Italy
John Huddlestone United States
Moritz Gröger Germany
Christina M. Mailloux United States
Caroline Gray United Kingdom
D. L. Cockroft United Kingdom
Mayu Suzuki Japan
Mathieu Latreille France
Eiko Okada relative to C. Legrand France C. Legrand's profile →
Citations per field
00.5×6.5×
C. Legrand · 1×
Citations per year

Countries citing papers authored by Eiko Okada

Since Specialization
Citations

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

Fields of papers citing papers by Eiko Okada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eiko Okada, 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 Eiko Okada Line = papers co-authored together Eiko Okada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199986
2 195962
3 199859
4 200153
5 198050
6 198024
7 197624
8 196016
9 200214
10 197713
11 199712
12
Abnormalities of the sciatic nerves of dystrophic mice, with reference to nerve counts and mean area of axons.
197511
13 201110
14 19978
15 19828
16 20156
17 20086
18 19785
19 19614
20 19614

About Eiko Okada

Eiko Okada is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience, Surgery and Cardiology and Cardiovascular Medicine, having authored 30 papers that have together received 495 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (6 papers), Nerve injury and regeneration (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Plant Reproductive Biology (2 papers), Adipose Tissue and Metabolism (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Hereditary Neurological Disorders (1 paper) and Diabetes Management and Research (1 paper). The work is most often cited by research in Developmental Neuroscience (52 citations), Internal Medicine (30 citations), Cellular and Molecular Neuroscience (97 citations), Rheumatology (69 citations) and Hematology (48 citations). Eiko Okada has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include C. H. Waddington, Richard P. Bunge, Isamu Miyamori, Gen Tohda, Koji Oida, Patrick M. Wood, Vinci Mizuhira, Sadao Takahashi, Katsumi Eguchi and Hideo Tada. Their work appears in journals such as Brain Research, Journal of the Neurological Sciences, Development, Experimental Cell Research and EXPERIMENTAL ANIMALS.

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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