K Shima

766 total citations
36 papers, 527 citations indexed

About

K Shima is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, K Shima has authored 36 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Surgery and 7 papers in Genetics. Recurrent topics in K Shima's work include Pancreatic function and diabetes (8 papers), Metabolism, Diabetes, and Cancer (5 papers) and Mitochondrial Function and Pathology (4 papers). K Shima is often cited by papers focused on Pancreatic function and diabetes (8 papers), Metabolism, Diabetes, and Cancer (5 papers) and Mitochondrial Function and Pathology (4 papers). K Shima collaborates with scholars based in Japan, Germany and United Kingdom. K Shima's co-authors include K Tashiro, Kazufumi Torii, J. E. Dale, Asao Habe, Y. Fukui, Elizabeth J. Tasker, Thomas J. Haworth, T. M. Ayodele Adesanya, Nozomu Hibi and Yutaka Tsukada and has published in prestigious journals such as Biochemical and Biophysical Research Communications, FEBS Letters and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

K Shima

35 papers receiving 488 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K Shima Japan 13 163 116 84 74 69 36 527
Tamotsu Nakano Japan 12 145 0.9× 38 0.3× 132 1.6× 31 0.4× 67 1.0× 24 466
Shigekazu Yuasa Japan 14 145 0.9× 62 0.5× 48 0.6× 72 1.0× 16 0.2× 54 614
D. Hermans Belgium 12 282 1.7× 36 0.3× 82 1.0× 164 2.2× 22 0.3× 23 617
S Takeshita Japan 7 161 1.0× 96 0.8× 99 1.2× 21 0.3× 12 0.2× 11 429
Hisashi Fujita Japan 15 350 2.1× 16 0.1× 53 0.6× 41 0.6× 46 0.7× 59 728
Jiarui Zhu China 11 79 0.5× 24 0.2× 69 0.8× 72 1.0× 13 0.2× 43 367
Xuefeng Gu China 18 376 2.3× 12 0.1× 90 1.1× 37 0.5× 17 0.2× 64 769
Douglas W. Potter United States 5 255 1.6× 69 0.6× 83 1.0× 31 0.4× 10 0.1× 6 370
Brent S. Abel United States 16 167 1.0× 8 0.1× 164 2.0× 133 1.8× 359 5.2× 36 759
Flávia Fonseca Bloise Brazil 16 184 1.1× 6 0.1× 154 1.8× 30 0.4× 182 2.6× 31 609

Countries citing papers authored by K Shima

Since Specialization
Citations

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

Fields of papers citing papers by K Shima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K Shima

This figure shows the co-authorship network connecting the top 25 collaborators of K Shima. A scholar is included among the top collaborators of K Shima 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 K Shima. K Shima 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
1.
2.
Minnella, Angelo Maria, Massimiliano Izzo, Koji Shimatani, et al.. (2017). A new method for early detection of infants at risk of long-term neuromotor disabilities. Gait & Posture. 57. 23–24. 1 indexed citations
3.
Haworth, Thomas J., Elizabeth J. Tasker, Y. Fukui, et al.. (2015). Isolating signatures of major cloud–cloud collisions using position–velocity diagrams. Monthly Notices of the Royal Astronomical Society. 450(1). 10–20. 68 indexed citations
4.
Sasaki, Hidenao, T. Fukazawa, T. Yanagihara, et al.. (2009). Clinical features and natural history of spinocerebellar ataxia type 1. Acta Neurologica Scandinavica. 93(1). 64–71. 19 indexed citations
5.
Shima, K, et al.. (2009). Effect of end-of-day far-red light treatment on flowering and stem elongation in certain cut flowers. 6 indexed citations
6.
Kuwajima, Masamichi, Masahisa Horiuchi, Hideyoshi Harashima, et al.. (1999). Cardiomegaly in the juvenile visceral steatosis (JVS) mouse is reduced with acute elevation of heart short‐chain acyl‐carnitine level after l‐carnitine injection. FEBS Letters. 443(3). 261–266. 15 indexed citations
7.
Moralejo, Daniel H., Kai Wei, Takahisa Yamada, et al.. (1999). Identification of possible quantitative trait loci responsible for hyperglycaemia after 70% pancreatectomy using a spontaneously diabetogenic rat. Genetics Research. 73(1). 29–36. 8 indexed citations
8.
Yamaguchi, Masaaki, Takashi Murakami, Takuji Tomimatsu, et al.. (1998). Autocrine Inhibition of Leptin Production by Tumor Necrosis Factor-α (TNF-α) through TNF-α Type-I Receptorin Vitro. Biochemical and Biophysical Research Communications. 244(1). 30–34. 60 indexed citations
9.
Kuwajima, M, Tomoko Nakao, & K Shima. (1998). [Assay of blood glucose level, and source of the error].. PubMed. 56 Suppl 3. 11–8. 1 indexed citations
10.
Ikegami, Hiroshi, Gong-Qing Shen, Yusuke Nakagawa, et al.. (1997). Insulin Gene Region Contributes to Genetic Susceptibility to, but May Not to Low Incidence of, Insulin-Dependent Diabetes Mellitus in Japanese. Biochemical and Biophysical Research Communications. 233(1). 283–287. 17 indexed citations
11.
Ishida, Kazuto, Akira Mizuno, T Sano, Yoshihiko Noma, & K Shima. (1995). Effect of Timely Insulin Administration on Pancreatic B-Cells of Otsuka-Long-Evans-Tokushima-Fatty (OLETF) Strain Rats. Hormone and Metabolic Research. 27(9). 398–402. 7 indexed citations
12.
Ishida, Kazuto, et al.. (1994). The effect of probucol on the development of non-insulin dependent diabetes mellitus in Otsuka Long Evans Tokushima Fatty (OLETF) rats.. PubMed. 41(1-2). 41–7. 2 indexed citations
13.
14.
Moriwaka, Fumio, Hiroshi Satoh, Chiho Watanabe, et al.. (1993). Mercury and selenium contents in amyotrophic lateral sclerosis in Hokkaido, the northernmost island of Japan. Journal of the Neurological Sciences. 118(1). 38–42. 33 indexed citations
15.
Noma, Yoshihiko, et al.. (1992). Correlation between residual β-cell function and age at onset of spontaneous diabetes in Long Evans Tokushima Lean rats. Metabolism. 41(12). 1379–1385. 2 indexed citations
16.
Hirota, Meisei, Masayo Hashimoto, Chizuko Ohboshi, et al.. (1990). Alterations of plasma immunoreactive glucagon-like peptide-1 behavior in non-insulin-dependent diabetics. Diabetes Research and Clinical Practice. 9(2). 179–185. 14 indexed citations
17.
Sawamura, Yutaka, et al.. (1984). [Clinical studies on multiple lacunar state].. PubMed. 36(5). 475–80. 1 indexed citations
18.
Shima, K, Kojiro Tashiro, Nozomu Hibi, Y. Tsukada, & Hidekazu Hirai. (1983). [Radioimmunoassay of human muscle carbonic anhydrase III--a new diagnostic marker for muscle diseases (1)].. PubMed. 23(10). 892–8. 2 indexed citations
19.
Shima, K, et al.. (1979). Relationship between Secretory Capacity of Pancreatic A Cell and of B Cell. Hormone and Metabolic Research. 11(7). 451–452. 5 indexed citations
20.
Shima, K, Keiko Kuroda, S Tarui, & Masashi Nishikawa. (1971). Augmented Serum Insulin Response to Glucose Infusion After the Ingestion of Konnyaku. Experimental Biology and Medicine. 137(3). 872–876. 3 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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