Mamoru Isemura

5.4k total citations
123 papers, 4.1k citations indexed

About

Mamoru Isemura is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Immunology and Allergy. According to data from OpenAlex, Mamoru Isemura has authored 123 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 40 papers in Pathology and Forensic Medicine and 21 papers in Immunology and Allergy. Recurrent topics in Mamoru Isemura's work include Tea Polyphenols and Effects (38 papers), Glycosylation and Glycoproteins Research (26 papers) and Cell Adhesion Molecules Research (21 papers). Mamoru Isemura is often cited by papers focused on Tea Polyphenols and Effects (38 papers), Glycosylation and Glycoproteins Research (26 papers) and Cell Adhesion Molecules Research (21 papers). Mamoru Isemura collaborates with scholars based in Japan, Netherlands and United States. Mamoru Isemura's co-authors include Yoriyuki Nakamura, Monira Pervin, Sumio Hayakawa, Tomokazu Ohishi, Shingo Goto, Noriyuki Miyoshi, Takuji Suzuki, Yutaka Aoyagi, Masaki Sazuka and Kouichi Saeki and has published in prestigious journals such as Journal of Biological Chemistry, Hepatology and Cancer.

In The Last Decade

Mamoru Isemura

122 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mamoru Isemura Japan 37 1.5k 1.4k 773 425 376 123 4.1k
Sachiko Okabe Japan 36 1.5k 1.0× 1.3k 0.9× 700 0.9× 358 0.8× 463 1.2× 78 3.9k
Richard A. Hiipakka United States 36 1.6k 1.0× 832 0.6× 407 0.5× 212 0.5× 753 2.0× 63 3.9k
Saverio Bettuzzi Italy 37 1.7k 1.1× 811 0.6× 384 0.5× 508 1.2× 1.5k 3.9× 93 3.8k
Masumi Suzui Japan 33 2.0k 1.3× 712 0.5× 537 0.7× 296 0.7× 1.0k 2.7× 97 4.1k
Mari Maeda‐Yamamoto Japan 36 1.1k 0.7× 1.6k 1.1× 1.0k 1.3× 1.5k 3.5× 188 0.5× 127 4.2k
Federica Rizzi Italy 26 892 0.6× 675 0.5× 399 0.5× 190 0.4× 521 1.4× 47 2.5k
Tzong‐Der Way Taiwan 39 2.1k 1.4× 494 0.4× 337 0.4× 218 0.5× 660 1.8× 116 3.9k
A. L. Nieminen United States 16 1.5k 1.0× 710 0.5× 256 0.3× 106 0.2× 289 0.8× 19 3.1k
Pei‐Ni Chen Taiwan 34 1.9k 1.2× 432 0.3× 629 0.8× 223 0.5× 491 1.3× 116 3.9k
Chi‐Cheng Lu Taiwan 42 2.7k 1.8× 419 0.3× 328 0.4× 351 0.8× 575 1.5× 140 5.0k

Countries citing papers authored by Mamoru Isemura

Since Specialization
Citations

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

Fields of papers citing papers by Mamoru Isemura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mamoru Isemura

This figure shows the co-authorship network connecting the top 25 collaborators of Mamoru Isemura. A scholar is included among the top collaborators of Mamoru Isemura 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 Mamoru Isemura. Mamoru Isemura 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.
Nakano, Shogo, Tadashi Hase, Takuji Suzuki, et al.. (2018). Computational Molecular Docking and X-ray Crystallographic Studies of Catechins in New Drug Design Strategies. Molecules. 23(8). 2020–2020. 36 indexed citations
2.
Miyoshi, Noriyuki, et al.. (2011). Effects of Oolong Tea on Gene Expression of Gluconeogenic Enzymes in the Mouse Liver and in Rat Hepatoma H4IIE Cells. Journal of Medicinal Food. 14(9). 930–938. 6 indexed citations
3.
Tanabe, Hiroki, et al.. (2010). Effects of catechin-rich green tea on gene expression of gluconeogenic enzymes in rat hepatoma H4IIE cells. Biomedical Research. 31(3). 183–189. 14 indexed citations
4.
Okada, Norihisa, et al.. (2009). Effects of chronic ingestion of catechin-rich green tea on hepatic gene expression of gluconeogenic enzymes in rats. Biomedical Research. 30(1). 25–29. 24 indexed citations
5.
Okada, Norihisa, et al.. (2008). Importins and exportins in cellular differentiation. Journal of Cellular and Molecular Medicine. 12(5b). 1863–1871. 37 indexed citations
6.
Saeki, Kouichi, Sumio Hayakawa, Tadataka Noro, et al.. (2000). Apoptosis-Inducing Activity of Galloyl Monosaccharides in Human Histiocytic Lymphoma U937 Cells. Planta Medica. 66(2). 124–126. 7 indexed citations
7.
Saeki, Kouichi, Sumio Hayakawa, Mamoru Isemura, & Toshio Miyase. (2000). Importance of a pyrogallol-type structure in catechin compounds for apoptosis-inducing activity. Phytochemistry. 53(3). 391–394. 103 indexed citations
8.
9.
Shoji, Yutaka, et al.. (1999). Cell adhesion activity for murine carcinoma cells of a wheat germ 55-kDa protein with binding affinity for animal extracellular matrix proteins. Biochimica et Biophysica Acta (BBA) - General Subjects. 1426(3). 498–504. 7 indexed citations
10.
Odani, Shoji, Kei Tominaga, Hiroshi Hori, et al.. (1999). The inhibitory properties and primary structure of a novel serine proteinase inhibitor from the fruiting body of the basidiomycete, Lentinus edodes. European Journal of Biochemistry. 262(3). 915–923. 27 indexed citations
11.
Isemura, Mamoru, et al.. (1993). Effects of catechins on the mouse lung carcinoma cell adhesion to the endothelial cells.. Cell Biology International. 17(6). 559–564. 44 indexed citations
12.
Kazama, Takashi, et al.. (1991). Immunohistochemical Alterations in Basement Membrane Components of Squamous Cell Carcinoma. Journal of Investigative Dermatology. 96(2). 250–254. 23 indexed citations
13.
Isemura, Mamoru, et al.. (1991). Myosin light chain kinase inhibitors ML-7 and ML-9 inhibit mouse lung carcinoma cell attachment to the fibronectin substratum. Cell Biology International Reports. 15(10). 965–972. 22 indexed citations
14.
Nakamura, Takamichi, et al.. (1989). Alterations in the extracellular matrix components in human glomerular diseases. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 415(2). 151–159. 91 indexed citations
15.
Aoyagi, Yutaka, Yasufumi Suzuki, Mamoru Isemura, et al.. (1988). The fucosylation index of alpha-fetoprotein and its usefulness in the early diagnosis of hepatocellular carcinoma. Cancer. 61(4). 769–774. 145 indexed citations
16.
Homma, Noriyuki, Fumitake Gejyo, Mamoru Isemura, & Masaaki Arakawa. (1988). β2-Microglobulin Binding to Collagen : An Amyloidogenic Factor in Chronic Hemodialysis Patients. 623–627. 7 indexed citations
17.
Ototani, Noboru, et al.. (1986). Liquid-chromatographic determination of urinary glycosaminoglycans for differential diagnosis of genetic mucopolysaccharidoses.. PubMed. 32(1 Pt 1). 30–4. 11 indexed citations
18.
Munakata, Hiroshi, et al.. (1985). Sulfated glycopeptides from middle ear effusions of secretory otitis media.. The Tohoku Journal of Experimental Medicine. 146(4). 461–467. 1 indexed citations
19.
Isemura, Mamoru, et al.. (1982). Glycosaminoglycans of rat colorectal adenocarcinoma.. PubMed. 73(5). 721–7. 11 indexed citations
20.
Isemura, Mamoru, et al.. (1978). Fluorometric Measurement of Urinary α-L-Iduronidase Activity1. The Journal of Biochemistry. 84(3). 627–632. 9 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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