Seika Kamohara

2.6k total citations · 1 hit paper
28 papers, 1.6k citations indexed

About

Seika Kamohara is a scholar working on Molecular Biology, Surgery and Rheumatology. According to data from OpenAlex, Seika Kamohara has authored 28 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Surgery and 4 papers in Rheumatology. Recurrent topics in Seika Kamohara's work include Metabolism, Diabetes, and Cancer (9 papers), Pancreatic function and diabetes (7 papers) and PI3K/AKT/mTOR signaling in cancer (6 papers). Seika Kamohara is often cited by papers focused on Metabolism, Diabetes, and Cancer (9 papers), Pancreatic function and diabetes (7 papers) and PI3K/AKT/mTOR signaling in cancer (6 papers). Seika Kamohara collaborates with scholars based in Japan and United States. Seika Kamohara's co-authors include Jeffrey M. Friedman, Maureen Charron, Rémy Burcelin, Jeffrey L. Halaas, Hideki Hayashi, Fumihiko Kanai, M. Todaka, Kazuo Ishii, Yasuhiko Ebina and Yasuhiko Nishioka and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Seika Kamohara

27 papers receiving 1.5k citations

Hit Papers

Acute stimulation of glucose metabolism in mice by leptin... 1997 2026 2006 2016 1997 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seika Kamohara Japan 13 748 515 513 315 314 28 1.6k
Duna Massillon United States 16 723 1.0× 540 1.0× 257 0.5× 165 0.5× 239 0.8× 19 1.5k
Teruhiko Shimokawa Japan 18 1.1k 1.5× 902 1.8× 294 0.6× 247 0.8× 166 0.5× 33 1.9k
Corinna Müller Germany 5 748 1.0× 898 1.7× 619 1.2× 235 0.7× 551 1.8× 9 1.7k
Frédéric Tremblay Canada 15 1.3k 1.8× 999 1.9× 198 0.4× 214 0.7× 294 0.9× 18 2.2k
Frank K. Huynh United States 17 604 0.8× 614 1.2× 409 0.8× 162 0.5× 502 1.6× 19 1.6k
Dominique Larrouy France 22 711 1.0× 1.4k 2.7× 220 0.4× 206 0.7× 560 1.8× 30 1.9k
N. Moustaïd United States 16 507 0.7× 538 1.0× 182 0.4× 176 0.6× 300 1.0× 20 1.3k
Sophie Turban France 18 552 0.7× 555 1.1× 207 0.4× 85 0.3× 306 1.0× 25 1.3k
Christina Cochrane United States 7 504 0.7× 611 1.2× 253 0.5× 136 0.4× 278 0.9× 10 1.3k
Wendy S. Pascoe Australia 14 806 1.1× 1.0k 1.9× 162 0.3× 592 1.9× 275 0.9× 14 2.0k

Countries citing papers authored by Seika Kamohara

Since Specialization
Citations

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

Fields of papers citing papers by Seika Kamohara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seika Kamohara

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

All Works

20 of 20 papers shown
2.
Kamohara, Seika. (2016). An evidence-based review: Anti-obesity effects of Coleus forskohlii. 5. 16–20. 5 indexed citations
3.
Kamohara, Seika, et al.. (2015). Safety of a Coleus forskohlii formulation in healthy volunteers. 4. 63–65. 9 indexed citations
4.
Kamohara, Seika. (2014). Prospects for the appropriate use of the dietary supplements in geriatric medicine. Nippon Ronen Igakkai Zasshi Japanese Journal of Geriatrics. 51(2). 141–143. 2 indexed citations
5.
Ogihara, Kazumasa, Nasa Savory, Koichi Abe, et al.. (2014). DNA aptamers against the Cry j 2 allergen of Japanese cedar pollen for biosensing applications. Biosensors and Bioelectronics. 63. 159–165. 5 indexed citations
6.
Kamohara, Seika, et al.. (2009). A New Japanese Vegetarian Food Guide. Asia Pacific Journal of Public Health. 21(2). 160–169. 10 indexed citations
7.
Kamohara, Seika, et al.. (2005). A New Japanese Vegetarian Food Guide Pyramid. Journal of the American Dietetic Association. 105(8). 60–60. 2 indexed citations
8.
Atsumi, K. & Seika Kamohara. (2005). Bridging conventional medicine and complementary and alternative medicine. IEEE Engineering in Medicine and Biology Magazine. 24(2). 30–34. 8 indexed citations
9.
Nakano, Masaru, Yoshikazu Kawanishi, Seika Kamohara, et al.. (2003). Oxidative DNA damage (8-hydroxydeoxyguanosine) and body iron status: a study on 2507 healthy people. Free Radical Biology and Medicine. 35(7). 826–832. 80 indexed citations
10.
Kamohara, Seika, et al.. (2002). Changes regarding Age and Correlations between Serum Lipids and Body Mass Index in Humankind. Methods of Information in Medicine. 41(3). 202–208. 3 indexed citations
11.
Kamohara, Seika, Rémy Burcelin, Jeffrey L. Halaas, Jeffrey M. Friedman, & Maureen Charron. (1997). Acute stimulation of glucose metabolism in mice by leptin treatment. Nature. 389(6649). 374–377. 589 indexed citations breakdown →
12.
Todaka, M., Hideki Hayashi, Takanobu Imanaka, et al.. (1996). Roles of insulin, guanosine 5′-[γ-thio]triphosphate and phorbol 12-myristate 13-acetate in signalling pathways of GLUT4 translocation. Biochemical Journal. 315(3). 875–882. 25 indexed citations
13.
Kishi, Kazuhiro, Hideki Hayashi, Lihong Wang, et al.. (1996). Gq-coupled Receptors Transmit the Signal for GLUT4 Translocation via an Insulin-independent Pathway. Journal of Biological Chemistry. 271(43). 26561–26568. 34 indexed citations
14.
Kamohara, Seika, Hideki Hayashi, M. Todaka, et al.. (1995). Platelet-derived growth factor triggers translocation of the insulin-regulatable glucose transporter (type 4) predominantly through phosphatidylinositol 3-kinase binding sites on the receptor.. Proceedings of the National Academy of Sciences. 92(4). 1077–1081. 38 indexed citations
15.
Ishii, Kazuo, Hideki Hayashi, M. Todaka, et al.. (1995). Possible domains responsible for intracellular targeting and insulin-dependent translocation of glucose transporter type 4. Biochemical Journal. 309(3). 813–823. 20 indexed citations
16.
Ishii, Kazuo, Seika Kamohara, Hideki Hayashi, et al.. (1994). Epidermal Growth Factor Triggers the Translocation of Insulin-Responsive Glucose Transporter (GLUT4). Biochemical and Biophysical Research Communications. 205(1). 857–863. 22 indexed citations
17.
Kamohara, Seika, Nobuo Fukuda, Arata Íuchi, et al.. (1993). due to dysfunction of the Medtronic-Hall prosthetic valve in aortic position. 25(2). 163–168.
18.
Kanai, Fumihiko, K. Ito, M. Todaka, et al.. (1993). Insulin-Stimulated GLUT4 Translocation Is Relevant to the Phosphorylation of IRS-1 and the Activity of PI3 Kinase. Biochemical and Biophysical Research Communications. 195(2). 762–768. 255 indexed citations
19.
Hayashi, Hideki, Yasuhiko Nishioka, Seika Kamohara, et al.. (1993). The alpha-type 85-kDa subunit of phosphatidylinositol 3-kinase is phosphorylated at tyrosines 368, 580, and 607 by the insulin receptor.. Journal of Biological Chemistry. 268(10). 7107–7117. 59 indexed citations
20.
Sobue, Mitsuko, Hiroko Habuchi, Kenichiro Ito, et al.. (1987). β-d-xylosides and their analogues as artificial initiators of glycosaminoglycan chain synthesis. Aglycone-related variation in their effectiveness in vitro and in ovo. Biochemical Journal. 241(2). 591–601. 75 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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