Tomoko Kohama

491 total citations
13 papers, 252 citations indexed

About

Tomoko Kohama is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Tomoko Kohama has authored 13 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Surgery and 4 papers in Genetics. Recurrent topics in Tomoko Kohama's work include Slime Mold and Myxomycetes Research (4 papers), Pancreatic function and diabetes (4 papers) and Birth, Development, and Health (3 papers). Tomoko Kohama is often cited by papers focused on Slime Mold and Myxomycetes Research (4 papers), Pancreatic function and diabetes (4 papers) and Birth, Development, and Health (3 papers). Tomoko Kohama collaborates with scholars based in Japan, United States and United Kingdom. Tomoko Kohama's co-authors include Toshiyuki Takeuchi, Hidekazu Nishigori, Shirou Yamada, Jun Takeda, Kazuhiro Kohama, Hideaki Tomura, Yukio Horikawa, Kimie Sho, Graeme I. Bell and Takeshi Tanaka and has published in prestigious journals such as Journal of Biological Chemistry, Diabetes and Nutrition.

In The Last Decade

Tomoko Kohama

13 papers receiving 243 citations

Peers

Tomoko Kohama
Tomoko Kohama
Citations per year, relative to Tomoko Kohama Tomoko Kohama (= 1×) peers A.B.G. Duarte

Countries citing papers authored by Tomoko Kohama

Since Specialization
Citations

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

Fields of papers citing papers by Tomoko Kohama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoko Kohama

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

All Works

13 of 13 papers shown
2.
Nakamura, Akio, et al.. (2013). A maternal diet rich in fish oil may improve cardiac Akt-related signaling in the offspring of diabetic mother rats. Nutrition. 29(4). 688–692. 8 indexed citations
3.
Seki, Koji, et al.. (2007). Effect of a High-fat Diet on Diabetic Mother Rats and Their Offspring through Three Generations. Endocrine Journal. 54(4). 563–569. 9 indexed citations
4.
Wachi, Masaaki, Tomoko Kohama, Iwao Ohtsu, et al.. (2006). Transcriptional Analysis of theEscherichia coli mreBCDGenes Responsible for Morphogenesis and Chromosome Segregation. Bioscience Biotechnology and Biochemistry. 70(11). 2712–2719. 13 indexed citations
5.
Murakami, Masami, Koji Kashima, Akira Kojima, et al.. (2000). Identification of Monoclonal Insulin Autoantibodies in Insulin Autoimmune Syndrome Associated with HLA-DRB1*0401. Hormone Research in Paediatrics. 54(1). 49–52. 7 indexed citations
6.
Murakami, Masami, Koji Kashima, Tomoko Kohama, et al.. (2000). Identification of Monoclonal Insulin Autoantibodies in Insulin Autoimmune Syndrome Associated with HLA-DRB1*0401. Hormone Research. 54(1). 49–52. 5 indexed citations
7.
Nishigori, Hidekazu, Shirou Yamada, Tomoko Kohama, et al.. (1998). Mutations in the hepatocyte nuclear factor-1α gene (MODY3) are not a major cause of early-onset non-insulin-dependent (type 2) diabetes mellitus in Japanese. Journal of Human Genetics. 43(2). 107–110. 27 indexed citations
8.
Nishigori, Hidekazu, Shirou Yamada, Tomoko Kohama, et al.. (1998). Frameshift Mutation, A263fsinsGG, in the Hepatocyte Nuclear Factor-1β Gene Associated With Diabetes and Renal Dysfunction. Diabetes. 47(8). 1354–1355. 103 indexed citations
9.
Honda, Masashi, et al.. (1990). Quantitative analysis of serum α1-acid glycoprotein levels in normal and diabetic pregnancy. Diabetes Research and Clinical Practice. 10(2). 147–152. 16 indexed citations
10.
Kohama, Kazuhiro, Tomoko Kohama, & John Kendrick‐Jones. (1987). Effect of N-Ethylmaleimide on Ca-Inhibition of Physarum Myosin1. The Journal of Biochemistry. 102(1). 17–23. 15 indexed citations
11.
Kohama, Kazuhiro, Hiromi Takano‐Ohmuro, Takeshi Tanaka, Yoshihide Yamaguchi, & Tomoko Kohama. (1986). Isolation and characterization of myosin from amoebae of Physarum polycephalum.. Journal of Biological Chemistry. 261(17). 8022–8027. 19 indexed citations
12.
Kohama, Kazuhiro, Taro Q.P. Uyeda, Hiromi Takano‐Ohmuro, et al.. (1985). Ca2+-binding light chain of Physarum myosin confers inhibitory Ca2+-sensitivity on actin-myosin-ATP interaction via actin.. Proceedings of the Japan Academy Series B. 61(10). 501–505. 12 indexed citations
13.
Kohama, Kazuhiro & Tomoko Kohama. (1984). Myosin confers inhibitory Ca2+-sensitivity on actin-myosin-ATP interaction of Physarum polycephalum plasmodium under physiological conditions.. Proceedings of the Japan Academy Series B. 60(10). 435–439. 7 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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