S. Izumo

26 papers receiving 517 citations

Peers

S. Izumo
Comparison fields: 5 of 61
  • Immunology 264
  • Neurology 156
  • Agronomy and Crop Science 73
  • Cellular and Molecular Neuroscience 107
  • Neurology 36
Replace Sylvie Cavagna with:
Sylvie Cavagna France
Motohiro Yukitake Japan
Timo Kehl Germany
Lampert Pw United States
Ann G. Clarke United Kingdom
Youko Suehiro Japan
M C Gagnerault France
M H Wong Australia
Hongyan Huang China
Heather M. Ladyman United Kingdom
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Citations per year

Countries citing papers authored by S. Izumo

Since Specialization
Citations

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

Fields of papers citing papers by S. Izumo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984217
2 200074
3
Neuropathology of HTLV-1-associated myelopathy (HAM/TSP).
199732
4 199328
5 198628
6 199222
7 199119
8 199019
9
Immunogenetic factors involved in the pathogenesis of adult T-cell leukemia and HTLV-I-associated myelopathy
199218
10 199117
11 199812
12 19879
13 19839
14
HTLV-1 associated myelopathy (HAM).
19888
15 20033
16 19953
17
[Significance of anti-HTLV-I antibody in cerebrospinal fluid in diagnosis of HTLV-I associated myelopathy (HAM)].
19923
18 19802
19
[Advanced stage of giant axonal neuropathy].
19912
20 19982

About S. Izumo

S. Izumo is a scholar working on Immunology, Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics, Neurology and Physiology, having authored 26 papers that have together received 534 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (12 papers), Vector-Borne Animal Diseases (4 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Biotin and Related Studies (2 papers), Neurological diseases and metabolism (2 papers), Animal Disease Management and Epidemiology (2 papers), Cell Adhesion Molecules Research (2 papers) and Cerebrospinal fluid and hydrocephalus (1 paper). The work is most often cited by research in Immunology (264 citations), Neurology (156 citations), Agronomy and Crop Science (73 citations), Cellular and Molecular Neuroscience (107 citations) and Neurology (36 citations). S. Izumo has collaborated with scholars based in Japan, United States and Philippines. Frequent co-authors include Richard Meyermann, Masaru Suzuki, K Uyemura, Christopher Linington, Mitsuhiro Osame, H. Wekerle, Fujio Umehara, Masahito Suehara, Itsuro Higuchi and Yasushi Isashiki. Their work appears in journals such as Acta Neuropathologica, The Journal of Immunology, Journal of Bone and Joint Surgery, Journal of Neuroimmunology and European Journal of Neurology.

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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