Mika Kishida

459 total citations
9 papers, 387 citations indexed

About

Mika Kishida is a scholar working on Epidemiology, Surgery and Immunology. According to data from OpenAlex, Mika Kishida has authored 9 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Surgery and 4 papers in Immunology. Recurrent topics in Mika Kishida's work include Adipokines, Inflammation, and Metabolic Diseases (3 papers), Lipoproteins and Cardiovascular Health (3 papers) and Atherosclerosis and Cardiovascular Diseases (3 papers). Mika Kishida is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (3 papers), Lipoproteins and Cardiovascular Health (3 papers) and Atherosclerosis and Cardiovascular Diseases (3 papers). Mika Kishida collaborates with scholars based in Japan. Mika Kishida's co-authors include Masaharu Urakaze, Masashi Kobayashi, Akira Sato, R. Temaru, Katsuya Yamazaki, Chikaaki Kobashi, Tohru Funahashi, Shinji Kihara, Norio Nakamura and Hideki Kobayashi and has published in prestigious journals such as Circulation Research, British Journal of Pharmacology and Atherosclerosis.

In The Last Decade

Mika Kishida

9 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mika Kishida Japan 8 202 103 86 77 77 9 387
R. Temaru Japan 9 221 1.1× 135 1.3× 101 1.2× 62 0.8× 91 1.2× 10 445
Jorge Plutzky United States 5 131 0.6× 71 0.7× 103 1.2× 99 1.3× 141 1.8× 5 437
Atsuko Tomizawa Japan 8 178 0.9× 107 1.0× 79 0.9× 69 0.9× 173 2.2× 9 430
Rajesh K. Davda United States 8 103 0.5× 162 1.6× 84 1.0× 78 1.0× 105 1.4× 12 556
S. Fernández-Gallardo Spain 12 93 0.5× 78 0.8× 113 1.3× 67 0.9× 98 1.3× 19 463
Seitarou Omoto Japan 8 108 0.5× 49 0.5× 76 0.9× 100 1.3× 156 2.0× 8 406
Yonghee Lee South Korea 16 196 1.0× 72 0.7× 43 0.5× 153 2.0× 73 0.9× 22 720
Roger Flores‐Costa Spain 13 264 1.3× 85 0.8× 68 0.8× 101 1.3× 168 2.2× 19 581
Marta Duran‐Güell Spain 14 271 1.3× 81 0.8× 50 0.6× 94 1.2× 151 2.0× 20 558
Z Kalina Poland 9 104 0.5× 68 0.7× 65 0.8× 98 1.3× 158 2.1× 26 359

Countries citing papers authored by Mika Kishida

Since Specialization
Citations

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

Fields of papers citing papers by Mika Kishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mika Kishida

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

All Works

9 of 9 papers shown
1.
Kishida, Mika, et al.. (2007). Detection of primary and metastatic lesions by [18F]fluoro‐2‐deoxy‐D‐glucose PET in a patient with thymic carcinoid. Respirology. 12(6). 928–930. 8 indexed citations
2.
Kishida, Mika, Masaharu Urakaze, Miyako Takata, et al.. (2005). PGE1 Inhibits the Expression of PAI-1 mRNA Induced by TNF-α in Human Mesangial Cells. Experimental and Clinical Endocrinology & Diabetes. 113(7). 365–371. 8 indexed citations
3.
Urakaze, Masaharu, Chikaaki Kobashi, Mika Kishida, et al.. (2005). Inhibitory effect of pitavastatin (NK-104) on the C-reactive-protein-induced interleukin-8 production in human aortic endothelial cells. Clinical Science. 108(6). 515–521. 50 indexed citations
4.
Kobashi, Chikaaki, Masaharu Urakaze, Mika Kishida, et al.. (2005). Adiponectin Inhibits Endothelial Synthesis of Interleukin-8. Circulation Research. 97(12). 1245–1252. 212 indexed citations
5.
Watanabe, Naoto, Shinichi Hayashi, Hiroshi Kato, et al.. (2004). FDG-PET imaging in duodenal cancer. Annals of Nuclear Medicine. 18(4). 351–353. 9 indexed citations
6.
Urakaze, Masaharu, R. Temaru, Akira Sato, et al.. (2002). α-Tocopherol Inhibits IL-8 Synthesis Induced by Thrombin and High Glucose in Endothelial Cells. Hormone and Metabolic Research. 34(2). 49–54. 16 indexed citations
7.
Urakaze, Masaharu, R. Temaru, Katsuya Yamazaki, et al.. (2001). Pravastatin suppresses the interleukin‐8 production induced by thrombin in human aortic endothelial cells cultured with high glucose by inhibiting the p44/42 mitogen activated protein kinase. British Journal of Pharmacology. 134(4). 753–762. 38 indexed citations
8.
Sato, Akira, Toshiyasu Sasaoka, Katsuya Yamazaki, et al.. (2001). Glucosamine enhances platelet-derived growth factor-induced DNA synthesis via phosphatidylinositol 3-kinase pathway in rat aortic smooth muscle cells. Atherosclerosis. 157(2). 341–352. 6 indexed citations
9.
Nakamura, Norio, Tomohito Hamazaki, Masayuki Ohta, et al.. (1999). Joint effects of HMG-CoA reductase inhibitors and eicosapentaenoic acids on serum lipid profile and plasma fatty acid concentrations in patients with hyperlipidemia. International Journal of Clinical & Laboratory Research. 29(1). 22–25. 40 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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