Ikue Ito

595 total citations
8 papers, 353 citations indexed

About

Ikue Ito is a scholar working on Rheumatology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Ikue Ito has authored 8 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Rheumatology, 5 papers in Immunology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Ikue Ito's work include Systemic Lupus Erythematosus Research (5 papers), Eosinophilic Disorders and Syndromes (2 papers) and Urticaria and Related Conditions (2 papers). Ikue Ito is often cited by papers focused on Systemic Lupus Erythematosus Research (5 papers), Eosinophilic Disorders and Syndromes (2 papers) and Urticaria and Related Conditions (2 papers). Ikue Ito collaborates with scholars based in Japan. Ikue Ito's co-authors include Naoyuki Tsuchiya, Aya Kawasaki, Jun Ohashi, Masako Hara, Manabu Kawamoto, Shinichi Sato, Minoru Hasegawa, Yasushi Kawaguchi, Manabu Fujimoto and Kazuhiko Takehara and has published in prestigious journals such as SHILAP Revista de lepidopterología, Arthritis Research & Therapy and Journal of Clinical Neuroscience.

In The Last Decade

Ikue Ito

8 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ikue Ito Japan 8 190 162 117 55 55 8 353
Erdwine Klinker Germany 13 186 1.0× 142 0.9× 396 3.4× 145 2.6× 27 0.5× 21 672
Eva Podstawa Germany 8 163 0.9× 227 1.4× 273 2.3× 54 1.0× 64 1.2× 8 495
Judith Wienke Netherlands 12 207 1.1× 103 0.6× 40 0.3× 112 2.0× 59 1.1× 25 490
Björn Löfström Sweden 8 112 0.6× 225 1.4× 195 1.7× 46 0.8× 23 0.4× 8 379
Ulf M�ller-Ladner Germany 6 116 0.6× 96 0.6× 119 1.0× 59 1.1× 64 1.2× 8 322
Y.W. Song South Korea 7 271 1.4× 274 1.7× 49 0.4× 75 1.4× 47 0.9× 25 525
Ola Börjesson Sweden 7 303 1.6× 209 1.3× 54 0.5× 45 0.8× 68 1.2× 11 512
Christopher Marguerie United Kingdom 9 184 1.0× 199 1.2× 143 1.2× 33 0.6× 28 0.5× 13 578
JM van Laar Netherlands 6 97 0.5× 108 0.7× 172 1.5× 41 0.7× 33 0.6× 19 329
Cindy Collins United States 6 158 0.8× 101 0.6× 84 0.7× 37 0.7× 42 0.8× 8 359

Countries citing papers authored by Ikue Ito

Since Specialization
Citations

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

Fields of papers citing papers by Ikue Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ikue Ito

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

All Works

8 of 8 papers shown
1.
Miura, Kazutomo, Eiichi Tsuda, Masakazu Kogawa, et al.. (2021). Effects of gait training with a voluntary-driven wearable cyborg, Hybrid Assistive Limb (HAL), on quality of life in patients with neuromuscular disease, able to walk independently with aids. Journal of Clinical Neuroscience. 89. 211–215. 7 indexed citations
2.
Koga, Minori, Aya Kawasaki, Ikue Ito, et al.. (2011). Cumulative association of eight susceptibility genes with systemic lupus erythematosus in a Japanese female population. Journal of Human Genetics. 56(7). 503–507. 35 indexed citations
3.
Kawasaki, Aya, Ikue Ito, Satoshi Ito, et al.. (2010). Association ofTNFAIP3Polymorphism with Susceptibility to Systemic Lupus Erythematosus in a Japanese Population. SHILAP Revista de lepidopterología. 2010. 1–5. 29 indexed citations
4.
Ito, Ikue, Yasushi Kawaguchi, Aya Kawasaki, et al.. (2010). Association of the FAM167A–BLK region with systemic sclerosis. Arthritis & Rheumatism. 62(3). 890–895. 65 indexed citations
5.
Tsuchiya, Naoyuki, Ikue Ito, & Aya Kawasaki. (2010). Association of IRF5, STAT4 and BLK with systemic lupus erythematosus and other rheumatic diseases.. Japanese Journal of Clinical Immunology. 33(2). 57–65. 11 indexed citations
6.
Ito, Ikue, Aya Kawasaki, Satoshi Ito, et al.. (2009). Replication of the association between the C8orf13–BLK region and systemic lupus erythematosus in a Japanese population. Arthritis & Rheumatism. 60(2). 553–558. 42 indexed citations
7.
Ito, Ikue, Yasushi Kawaguchi, Aya Kawasaki, et al.. (2009). Association of a functional polymorphism in the IRF5 region with systemic sclerosis in a Japanese population. Arthritis & Rheumatism. 60(6). 1845–1850. 90 indexed citations
8.
Kawasaki, Aya, Ikue Ito, Koki Hikami, et al.. (2008). Role of STAT4 polymorphisms in systemic lupus erythematosus in a Japanese population: a case-control association study of the STAT1-STAT4region. Arthritis Research & Therapy. 10(5). R113–R113. 74 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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