Keisuke Maeshima

1.1k citations
33 papers · 866 · h-index 15

Impact in

    • Rheumatoid Arthritis Research and Therapies
    • Systemic Lupus Erythematosus Research
  • Hematology top 5%
    • Autoimmune and Inflammatory Disorders Research

Papers in

Keisuke Maeshima

32 papers receiving 846 citations

Peers

Keisuke Maeshima
Comparison fields: 5 of 79
  • Rheumatology 315
  • Hematology 161
  • Genetics 89
  • Immunology 172
  • Oncology 146
Replace Iman H. Bassyouni with:
Iman H. Bassyouni Egypt
Susanne Drynda Germany
Takahiko Sugihara Japan
Monika Prochorec‐Sobieszek Poland
Nicola Gullick United Kingdom
Ja‐Young Jeon South Korea
Mojtaba Akhtari United States
Veronica Codullo Italy
Yannick Degboé France
J. S. Smolen Austria
Keisuke Maeshima relative to Iman H. Bassyouni Egypt Iman H. Bassyouni's profile →
Citations per field
00.5×1.5×2.2×
Iman H. Bassyouni · 1×
Citations per year

Countries citing papers authored by Keisuke Maeshima

Since Specialization
Citations

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

Fields of papers citing papers by Keisuke Maeshima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011193
2 2018135
3 201177
4 201264
5 201443
6 201641
7 200637
8 201636
9 200425
10 201124
11 201724
12 201824
13 201223
14 201318
15 202014
16 201513
17 201212
18 202111
19 201111
20 20149

About Keisuke Maeshima

Keisuke Maeshima is a scholar working on Rheumatology, Molecular Biology, Hematology, Oncology and Immunology, having authored 33 papers that have together received 866 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (10 papers), Autoimmune and Inflammatory Disorders Research (8 papers), Cytokine Signaling Pathways and Interactions (6 papers), Systemic Lupus Erythematosus Research (5 papers), Family and Disability Support Research (4 papers), Adolescent and Pediatric Healthcare (3 papers), Liver Disease Diagnosis and Treatment (2 papers) and Peripheral Neuropathies and Disorders (2 papers). The work is most often cited by research in Rheumatology (315 citations), Hematology (161 citations), Genetics (89 citations), Immunology (172 citations) and Oncology (146 citations). Keisuke Maeshima has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Kunihiro Yamaoka, Yoshiya Tanaka, Kazuyoshi Saito, Kazuhisa Nakano, Satoshi Kubo, Koji Ishii, Hironobu Yoshimatsu, Masanobu Ohishi, Hisaaki Miyahara and Shinya Tanaka. Their work appears in journals such as Modern Rheumatology, Lara D. Veeken, Journal of Parenteral and Enteral Nutrition, Inflammation and Regeneration and Annals of the Rheumatic Diseases.

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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