Keisuke Maeshima

1.1k citations
33 papers · 845 · 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 829 citations

Peers

Keisuke Maeshima
Comparison fields: 5 of 82
  • Rheumatology 357
  • Hematology 191
  • Genetics 121
  • Immunology 219
  • Oncology 181
Replace Nobunori Takahashi with:
Nobunori Takahashi Japan
Joaquim Polido‐Pereira Portugal
Nicola B Nixon United Kingdom
Tine Lottenburger Denmark
Takahiko Sugihara Japan
Yannick Degboé France
Hirotsugu Ide Japan
Iman H. Bassyouni Egypt
G. Yanni United Kingdom
Henrik Skjødt Denmark
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Citations per field
00.5×1.5×2.1×
Nobunori Takahashi · 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 2011190
2 2018132
3 201176
4 201263
5 201642
6 201442
7 200637
8 201634
9 200423
10 201723
11 201123
12 201823
13 201221
14 201318
15 202014
16 201513
17 201212
18 201111
19 202111
20 20148

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 845 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (10 papers), Autoimmune and Inflammatory Disorders Research (9 papers), Cytokine Signaling Pathways and Interactions (7 papers), Systemic Lupus Erythematosus Research (6 papers), Family and Disability Support Research (4 papers), Adolescent and Pediatric Healthcare (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Rheumatology (357 citations), Hematology (191 citations), Genetics (121 citations), Immunology (219 citations) and Oncology (181 citations). Keisuke Maeshima has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Kunihiro Yamaoka, Yoshiya Tanaka, Kazuyoshi Saito, Satoshi Kubo, Kazuhisa Nakano, Hironobu Yoshimatsu, Koji Ishii, S. Iwata, Masanobu Ohishi and Hisaaki Miyahara. Their work appears in journals such as Modern Rheumatology, Annals of the Rheumatic Diseases, Journal of Parenteral and Enteral Nutrition, Lara D. Veeken and Inflammation and Regeneration.

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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