Taku Yamamura

1.9k total citations
60 papers, 1.6k citations indexed

About

Taku Yamamura is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Cancer Research. According to data from OpenAlex, Taku Yamamura has authored 60 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Surgery, 23 papers in Endocrinology, Diabetes and Metabolism and 20 papers in Cancer Research. Recurrent topics in Taku Yamamura's work include Lipoproteins and Cardiovascular Health (31 papers), Cancer, Lipids, and Metabolism (18 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers). Taku Yamamura is often cited by papers focused on Lipoproteins and Cardiovascular Health (31 papers), Cancer, Lipids, and Metabolism (18 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers). Taku Yamamura collaborates with scholars based in Japan, United States and Australia. Taku Yamamura's co-authors include Akira Yamamoto, Tohru Funahashi, Shinji Yokoyama, Yūji Matsuzawa, Shoji Tajima, Yasuko Miyake, B Kishino, Katsuhiko Hiramori, Hiroshi Sudo and Katsunori ISHIKAWA and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Taku Yamamura

57 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Taku Yamamura Japan 23 870 682 372 360 304 60 1.6k
V. Atger France 25 1.2k 1.4× 724 1.1× 600 1.6× 371 1.0× 329 1.1× 44 2.0k
J M Hoeg United States 26 1.0k 1.2× 683 1.0× 653 1.8× 478 1.3× 415 1.4× 42 2.0k
B Angelin Sweden 22 943 1.1× 576 0.8× 407 1.1× 275 0.8× 254 0.8× 28 1.7k
R J Havel United States 12 649 0.7× 671 1.0× 335 0.9× 301 0.8× 419 1.4× 16 1.3k
R Ramakrishnan United States 13 837 1.0× 803 1.2× 455 1.2× 502 1.4× 325 1.1× 20 1.5k
Pascal Puchois France 15 775 0.9× 782 1.1× 349 0.9× 205 0.6× 347 1.1× 33 1.3k
Pascale Benlian France 24 777 0.9× 503 0.7× 555 1.5× 421 1.2× 253 0.8× 88 2.1k
D Pometta Switzerland 21 560 0.6× 738 1.1× 358 1.0× 297 0.8× 201 0.7× 77 1.9k
Glenda D. Talley United States 14 753 0.9× 514 0.8× 394 1.1× 254 0.7× 250 0.8× 19 1.2k
Bernhard Föger Austria 22 784 0.9× 750 1.1× 377 1.0× 356 1.0× 202 0.7× 52 1.6k

Countries citing papers authored by Taku Yamamura

Since Specialization
Citations

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

Fields of papers citing papers by Taku Yamamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taku Yamamura

This figure shows the co-authorship network connecting the top 25 collaborators of Taku Yamamura. A scholar is included among the top collaborators of Taku Yamamura 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 Taku Yamamura. Taku Yamamura 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.
Ishigami, Masato, et al.. (2011). Remnant lipoprotein-cholesterol is a predictive biomarker for large artery atherosclerosis in apparently healthy women: usefulness as a parameter for annual health examinations. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 48(4). 332–337. 10 indexed citations
2.
Yamamura, Taku & Masato Ishigami. (2010). [Cutting-edge research on the metabolism of remnant lipoproteins].. PubMed. 58(6). 613–21. 1 indexed citations
3.
Ikeuchi, Hiroki, Taku Yamamura, Hiroki Nakano, et al.. (2007). Prognosis following Surgery for Ulcerative Colitis in Elderly Patients. Nihon Daicho Komonbyo Gakkai Zasshi. 60(3). 136–141. 1 indexed citations
4.
5.
Ryomoto, Kayoko, Michimasa Suzuki, Akio Kanazawa, et al.. (2000). Hyperapobetalipoproteinemia with compositional abnormality of LDL and IDL, a characteristic lipoprotein alteration in essential hypertension. American Journal of Hypertension. 13(6). 617–624. 5 indexed citations
7.
Mezdour, Hafid, Taku Yamamura, Shuichi Nomura, & Akira Yamamoto. (1995). Exogenous supply of artificial lipoproteins does not decrease susceptibility to atherosclerosis in cholesterol-fed rabbits. Atherosclerosis. 113(2). 237–246. 6 indexed citations
8.
Mezdour, Hafid, Taku Yamamura, Shuichi Nomura, & Akira Yamamoto. (1995). Genetic but not diet-induced hypercholesterolemia causes low apolipoprotein A-IV level in rabbit sera. Atherosclerosis. 113(2). 171–178. 2 indexed citations
9.
Miyake, Yasuko, et al.. (1993). Low-Density Lipoprotein Receptor Mutation That Deletes Exons 2 and 3 by Alu-Alu Recombination1. The Journal of Biochemistry. 113(3). 372–376. 8 indexed citations
10.
Mezdour, Hafid, Shuichi Nomura, Taku Yamamura, & Akira Yamamoto. (1992). Concentration and distribution of apolipoproteins A-I and E in normolipidemic, WHHL and diet-induced hyperlipidemic rabbit sera. Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism. 1127(2). 116–123. 10 indexed citations
11.
Miyake, Yasuko, Shoji Tajima, Tohru Funahashi, Taku Yamamura, & Akira Yamamoto. (1992). A point mutation of low‐density‐lipoprotein receptor causing rapid degradation of the receptor. European Journal of Biochemistry. 210(1). 1–7. 15 indexed citations
12.
Yamamoto, Akira, Taku Yamamura, & Shoji Tajima. (1990). Risk Factors for Atherosclerotic Vascular Diseases with Special Reference to the Relationship between Apolipoprotein E Mutations and Hyperlipidemia. Annals of the New York Academy of Sciences. 598(1). 58–65. 4 indexed citations
13.
Yamamura, Taku, Shoji Tajima, Yasuko Miyake, et al.. (1990). Hyperlipoproteinemia as a risk factor for ischemic heart disease.. Japanese Circulation Journal. 54(4). 448–456. 18 indexed citations
14.
Sakanoue, Youichirou, M. Kusunoki, Takuya Hatada, et al.. (1990). The Lipocortin of Colon Mucosa in Ulcerative Colitis. Hormone and Metabolic Research. 22(8). 453–454. 3 indexed citations
15.
Dong, Liming, Taku Yamamura, & Akira Yamamoto. (1990). Enhanced binding activity of an apolipoprotein E mutant, apo E5, to LDL receptors on human fibroblasts. Biochemical and Biophysical Research Communications. 168(2). 409–414. 22 indexed citations
17.
Shirai, Keiko, Moti L. Kashyap, Laxmi Srivastava, et al.. (1981). Effects of apolipoprotein C-II (apoC-II) on the lipolysis of very low density lipoproteins from apoC-II deficient patients. Metabolism. 30(8). 818–824. 33 indexed citations
18.
Miyake, Yuka, S Tajima, Taku Yamamura, & Akira Yamamoto. (1981). Homozygous familial hypercholesterolemia mutant with a defect in internalization of low density lipoprotein.. Proceedings of the National Academy of Sciences. 78(8). 5151–5155. 26 indexed citations
19.
Yamamoto, Akira, Akira Endo, Hiroshi Sudo, et al.. (1980). Therapeutic Effects of ML-236B on Primary Hypercholesterolemia. The Journal of Japan Atherosclerosis Society. 7(4). 611–616. 6 indexed citations
20.
Yamamura, Taku, et al.. (1979). Familial hyperlipoproteinemia showing an interconversion between type III and V linked with a trait of xeroderma pigmentosum.. PubMed. 30(1-2). 5–14. 1 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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