Eisuke Shono

548 total citations
10 papers, 123 citations indexed

About

Eisuke Shono is a scholar working on Rheumatology, Genetics and Hematology. According to data from OpenAlex, Eisuke Shono has authored 10 papers receiving a total of 123 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Rheumatology, 3 papers in Genetics and 3 papers in Hematology. Recurrent topics in Eisuke Shono's work include Rheumatoid Arthritis Research and Therapies (8 papers), Systemic Lupus Erythematosus Research (5 papers) and Chronic Lymphocytic Leukemia Research (3 papers). Eisuke Shono is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (8 papers), Systemic Lupus Erythematosus Research (5 papers) and Chronic Lymphocytic Leukemia Research (3 papers). Eisuke Shono collaborates with scholars based in Japan and United States. Eisuke Shono's co-authors include Tomomi Tsuru, Yasuharu Nakashima, Masakazu Kondo, Kimio Terao, Shuji Ohta, Hiroshi Harada, Yuko Ohjimi, Takahiko Horiuchi, Hisaaki Miyahara and Masato Imai and has published in prestigious journals such as The Journal of Clinical Pharmacology, Clinical Rheumatology and Modern Rheumatology.

In The Last Decade

Eisuke Shono

8 papers receiving 119 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eisuke Shono Japan 7 82 34 29 28 20 10 123
Takefumi Kato Japan 8 86 1.0× 27 0.8× 19 0.7× 32 1.1× 15 0.8× 11 142
Ileana Filipescu Romania 6 99 1.2× 32 0.9× 15 0.5× 39 1.4× 13 0.7× 13 219
Frédérique Caillot France 7 35 0.4× 8 0.2× 20 0.7× 30 1.1× 39 1.9× 8 134
Reikou Kamiyama Japan 7 81 1.0× 12 0.4× 6 0.2× 51 1.8× 10 0.5× 18 143
Dana Ranta France 5 39 0.5× 82 2.4× 97 3.3× 25 0.9× 47 2.4× 19 159
Maria Cristina Focherini Italy 6 108 1.3× 6 0.2× 64 2.2× 12 0.4× 7 0.3× 8 174
Jakob Matthes Germany 3 32 0.4× 7 0.2× 33 1.1× 26 0.9× 46 2.3× 6 122
Aziza Elmesmari United Kingdom 4 43 0.5× 19 0.6× 9 0.3× 62 2.2× 6 0.3× 9 199
Hélène Boutroux France 9 48 0.6× 49 1.4× 18 0.6× 4 0.1× 38 1.9× 21 171
Consuelo López Spain 5 38 0.5× 11 0.3× 8 0.3× 108 3.9× 13 0.7× 9 229

Countries citing papers authored by Eisuke Shono

Since Specialization
Citations

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

Fields of papers citing papers by Eisuke Shono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eisuke Shono

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

All Works

10 of 10 papers shown
1.
Maeyama, Akira, Masakazu Kondo, Hiroshi Harada, et al.. (2024). Efficacy and safety of baricitinib in rheumatoid arthritis patients with moderate renal impairment: a multicenter propensity score matching study. BMC Rheumatology. 8(1). 69–69.
3.
Yamada, Hisakata, Tomomi Tsuru, Takeshi Otsuka, et al.. (2020). Abatacept reduces disease activity of rheumatoid arthritis independently of modulating anti-citrullinated peptide antibody production. Immunological Medicine. 43(2). 87–91. 3 indexed citations
4.
Nakashima, Yasuharu, Hisaaki Miyahara, Masakazu Kondo, et al.. (2016). Impact of methotrexate dose on efficacy of adalimumab in Japanese patients with rheumatoid arthritis: Results from registered data analyses. Modern Rheumatology. 27(1). 15–21. 9 indexed citations
6.
Shono, Eisuke. (2013). Effectiveness of Golimumab in Clinical Management of Patients with Rheumatoid Arthritis. Drugs in R&D. 13(1). 95–100. 6 indexed citations
7.
Nakashima, Yasuharu, Masakazu Kondo, Hiroshi Harada, et al.. (2010). Clinical evaluation of tocilizumab for patients with active rheumatoid arthritis refractory to anti-TNF biologics: tocilizumab in combination with methotrexate. Modern Rheumatology. 20(4). 343–352. 19 indexed citations
8.
Nakashima, Yasuharu, Masakazu Kondo, Hiroshi Harada, et al.. (2010). Clinical evaluation of tocilizumab for patients with active rheumatoid arthritis refractory to anti-TNF biologics: tocilizumab in combination with methotrexate. Modern Rheumatology. 20(4). 343–352. 31 indexed citations
9.
Yamakawa, Kōji, Hiroshi Iwasaki, Ikuko Masuda, et al.. (2003). The utility of alizarin red s staining in calcium pyrophosphate dihydrate crystal deposition disease.. PubMed. 30(5). 1032–5. 21 indexed citations
10.
Yamakawa, Kōji, Hiroshi Iwasaki, Ikuko Masuda, et al.. (2002). Cartilage intermediate layer protein expression in calcium pyrophosphate dihydrate crystal deposition disease.. PubMed. 29(8). 1746–53. 9 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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