Eisuke Maehata

486 total citations
12 papers, 408 citations indexed

About

Eisuke Maehata is a scholar working on Physiology, Biochemistry and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Eisuke Maehata has authored 12 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 4 papers in Biochemistry and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Eisuke Maehata's work include Antioxidant Activity and Oxidative Stress (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Adipose Tissue and Metabolism (3 papers). Eisuke Maehata is often cited by papers focused on Antioxidant Activity and Oxidative Stress (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Adipose Tissue and Metabolism (3 papers). Eisuke Maehata collaborates with scholars based in Japan and Egypt. Eisuke Maehata's co-authors include Minoru Inoue, Seiji Suzuki, Masao Yano, Matsuo Taniyama, Minoru Yamakado, Tadaharu Adachi, Hideaki Hara, Shinya Suzuki, Teruo Shiba and Akiko Ishida and has published in prestigious journals such as Clinica Chimica Acta, Metabolism and Journal of Endocrinology.

In The Last Decade

Eisuke Maehata

12 papers receiving 392 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 Maehata Japan 8 201 175 114 69 62 12 408
Hideki Nojima Japan 5 179 0.9× 147 0.8× 69 0.6× 65 0.9× 62 1.0× 10 363
G S Meneilly Canada 6 173 0.9× 146 0.8× 87 0.8× 135 2.0× 70 1.1× 6 422
Michaela Vı́tková Czechia 8 187 0.9× 203 1.2× 57 0.5× 107 1.6× 32 0.5× 8 460
Tomoka Mineyama Japan 5 184 0.9× 167 1.0× 45 0.4× 159 2.3× 68 1.1× 6 370
Daniela Dietze‐Schroeder Germany 7 298 1.5× 318 1.8× 47 0.4× 153 2.2× 71 1.1× 7 537
Rita S. Patarrão Portugal 12 143 0.7× 148 0.8× 77 0.7× 92 1.3× 131 2.1× 27 430
Karina B. Cullberg Denmark 9 157 0.8× 182 1.0× 51 0.4× 144 2.1× 28 0.5× 9 479
Aoife M. Murphy Ireland 7 120 0.6× 237 1.4× 77 0.7× 149 2.2× 61 1.0× 7 470
Nan Zhou China 12 183 0.9× 187 1.1× 29 0.3× 110 1.6× 85 1.4× 32 485
Alessia Pirulli Italy 7 99 0.5× 229 1.3× 213 1.9× 61 0.9× 72 1.2× 9 409

Countries citing papers authored by Eisuke Maehata

Since Specialization
Citations

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

Fields of papers citing papers by Eisuke Maehata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eisuke Maehata

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

All Works

12 of 12 papers shown
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Kishikawa, Naoya, Kaname Ohyama, Yukitaka Ueki, et al.. (2010). Automated analysis of the serum antioxidative activities against five different reactive oxygen species by sequential injection system with a chemiluminescence detector. Clinica Chimica Acta. 411(15-16). 1111–1115. 7 indexed citations
4.
Inoue, Minoru, Masao Yano, Minoru Yamakado, Eisuke Maehata, & Seiji Suzuki. (2006). Relationship between the adiponectin-leptin ratio and parameters of insulin resistance in subjects without hyperglycemia. Metabolism. 55(9). 1248–1254. 114 indexed citations
5.
Inoue, Minoru, Eisuke Maehata, Masao Yano, Matsuo Taniyama, & Seiji Suzuki. (2005). Correlation between the adiponectin-leptin ratio and parameters of insulin resistance in patients with type 2 diabetes. Metabolism. 54(3). 281–286. 149 indexed citations
6.
Adachi, Tadaharu, Minoru Inoue, Hideaki Hara, Eisuke Maehata, & Shinya Suzuki. (2004). Relationship of plasma extracellular-superoxide dismutase level with insulin resistance in type 2 diabetic patients. Journal of Endocrinology. 181(3). 413–417. 57 indexed citations
7.
Maehata, Eisuke, et al.. (2004). The relationship between exercise-induced oxidative stress and the menstrual cycle. European Journal of Applied Physiology. 93(1-2). 82–86. 22 indexed citations
8.
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Yano, Masao, Minoru Inoue, Eisuke Maehata, et al.. (2003). Increased electronegative charge of serum low-density lipoprotein in patients with diabetes mellitus. Clinica Chimica Acta. 340(1-2). 93–98. 22 indexed citations
10.
Maehata, Eisuke, Tetsuo Adachi, Minoru Inoue, et al.. (2002). High blood superoxide dismutase (SOD) states in patients with diabetes mellitus. : Dependence on extracellular (EC)-SOD.. 51. 82. 2 indexed citations
11.
Maehata, Eisuke, Masao Yano, Teruo Shiba, et al.. (2002). [Insulin resistance index (HOMA-R method)].. PubMed. 60 Suppl 8. 341–50. 6 indexed citations
12.
Shiba, Teruo, et al.. (1996). Standardization of HbA1c value and its comparison to immunoassay — two years of experience. Diabetes Research and Clinical Practice. 32(3). 175–182. 5 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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