Mayumi Abé

7.1k total citations · 1 hit paper
127 papers, 5.9k citations indexed

About

Mayumi Abé is a scholar working on Molecular Biology, Cancer Research and Immunology and Allergy. According to data from OpenAlex, Mayumi Abé has authored 127 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Molecular Biology, 33 papers in Cancer Research and 26 papers in Immunology and Allergy. Recurrent topics in Mayumi Abé's work include Angiogenesis and VEGF in Cancer (37 papers), Cell Adhesion Molecules Research (26 papers) and Protease and Inhibitor Mechanisms (19 papers). Mayumi Abé is often cited by papers focused on Angiogenesis and VEGF in Cancer (37 papers), Cell Adhesion Molecules Research (26 papers) and Protease and Inhibitor Mechanisms (19 papers). Mayumi Abé collaborates with scholars based in Japan, United States and United Kingdom. Mayumi Abé's co-authors include Yasufumi Sato, N. ODA, John G. Harpel, D B Rifkin, David J. Loskutoff, Irene Nunes, Christine N. Metz, Daniel B. Rifkin, Robert Flaumenhaft and Katsuhiro Tanaka and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and The Journal of Chemical Physics.

In The Last Decade

Mayumi Abé

126 papers receiving 5.8k citations

Hit Papers

An Assay for Transforming Growth Factor-β Using Cells Tra... 1994 2026 2004 2015 1994 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mayumi Abé Japan 43 3.6k 1.2k 852 709 626 127 5.9k
Toni Antalis United States 40 2.5k 0.7× 1.1k 0.9× 846 1.0× 576 0.8× 838 1.3× 91 5.7k
Paul J. Higgins United States 45 4.0k 1.1× 1.5k 1.3× 1.2k 1.4× 552 0.8× 1.1k 1.7× 226 8.5k
Claus Oxvig Denmark 53 3.1k 0.8× 917 0.8× 783 0.9× 440 0.6× 781 1.2× 179 8.6k
Raija Sormunen Finland 50 5.3k 1.5× 1.7k 1.4× 891 1.0× 753 1.1× 965 1.5× 177 9.0k
Jiro Fujimoto Japan 39 3.6k 1.0× 898 0.8× 1.5k 1.8× 1.3k 1.8× 1.2k 1.9× 234 7.4k
Lars Holmgren Sweden 42 4.7k 1.3× 2.3k 1.9× 1.5k 1.8× 629 0.9× 908 1.5× 77 7.6k
Ole Didrik Lærum Norway 42 2.0k 0.5× 941 0.8× 1.3k 1.6× 368 0.5× 643 1.0× 200 5.3k
Robert Ochs United States 43 5.2k 1.4× 595 0.5× 802 0.9× 349 0.5× 900 1.4× 144 8.2k
Hiroaki Kataoka Japan 47 4.0k 1.1× 1.3k 1.1× 1.9k 2.2× 472 0.7× 1.1k 1.7× 295 8.1k
Rosamonde E. Banks United Kingdom 51 5.1k 1.4× 1.6k 1.3× 1.5k 1.8× 377 0.5× 917 1.5× 162 8.8k

Countries citing papers authored by Mayumi Abé

Since Specialization
Citations

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

Fields of papers citing papers by Mayumi Abé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayumi Abé

This figure shows the co-authorship network connecting the top 25 collaborators of Mayumi Abé. A scholar is included among the top collaborators of Mayumi Abé 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 Mayumi Abé. Mayumi Abé 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.
Goto, Yuhei, et al.. (2017). Pds5 Regulates Sister-Chromatid Cohesion and Chromosome Bi-orientation through a Conserved Protein Interaction Module. Current Biology. 27(7). 1005–1012. 48 indexed citations
2.
Okuwaki, Mitsuru, Mayumi Abé, Miharu Hisaoka, & Kyosuke Nagata. (2016). Regulation of Cellular Dynamics and Chromosomal Binding Site Preference of Linker Histones H1.0 and H1.X. Molecular and Cellular Biology. 36(21). 2681–2696. 11 indexed citations
3.
Kumagai, Yuki, et al.. (2011). Prognostic Items for the Last 10 and 3 Days of Life of Cancer Patients at Home. Cancer Nursing. 35(5). 390–396. 4 indexed citations
4.
Kobayashi, Akiko, Motohiro Komaki, Hideshi Hattori, et al.. (2009). Implantation of Capillary Structure Engineered by Optical Lithography Improves Hind Limb Ischemia in Mice. Tissue Engineering Part A. 16(3). 953–959. 14 indexed citations
5.
Elbarbary, Reyad A., Hiroaki Takaku, Mayumi Abé, et al.. (2009). Modulation of Gene Expression by Human Cytosolic tRNase ZL through 5′-Half-tRNA. PLoS ONE. 4(6). e5908–e5908. 108 indexed citations
6.
Kanemura, Masanori, Mayumi Abé, Masatsugu Ueda, et al.. (2004). MS-818 Accelerates Mobilization of Endothelial Progenitor Cells and Differentiation to Endothelial Cells. Endothelium. 11(5-6). 221–230. 6 indexed citations
7.
Watanabe, Kazuhide, Yasuhiro Hasegawa, Hiroshi Yamashita, et al.. (2004). Vasohibin as an endothelium-derived negative feedback regulator of angiogenesis. Journal of Clinical Investigation. 114(7). 898–907. 240 indexed citations
8.
Miyashita, Mitsunori, Tomoyo Sasahara, Yoshiyuki Kizawa, et al.. (2004). Reliability and validity of the Japanese version of the Support Team Assessment Schedule (STAS-J). Palliative & Supportive Care. 2(4). 379–385. 64 indexed citations
9.
Sato, Yasufumi & Mayumi Abé. (2002). Role of VEGF in angiogenesis and vascular regeneration. 22(3). 169–177. 1 indexed citations
10.
Umehara, Fujio, et al.. (2002). Involvement of Fas/Fas ligand system in the spinal cords of HTLV-I-associated myelopathy. Acta Neuropathologica. 103(4). 384–390. 13 indexed citations
11.
Terai, Yoshito, Mayumi Abé, Kaoru Miyamoto, et al.. (2001). Vascular smooth muscle cell growth‐promoting factor/F‐spondin inhibits angiogenesis via the blockade of integrin αvβ3 on vascular endothelial cells. Journal of Cellular Physiology. 188(3). 394–402. 50 indexed citations
12.
Umehara, Fujio, et al.. (2000). Axonal damage revealed by accumulation of β-amyloid precursor protein in HTLV-I-associated myelopathy. Journal of the Neurological Sciences. 176(2). 95–101. 35 indexed citations
13.
Morisaki, Takayuki, Hiroko Morisaki, I. Higuchi, Mitsuhiro Osame, & Mayumi Abé. (1999). Real defect of AMPD1 accompanied with myopathy: new missense mutations found in a Japanese patient. Cellular & Molecular Biology Letters. 4(3). 1 indexed citations
14.
Yamamoto, Hiroaki, Nobuhiko Atsuchi, Haruki Tanaka, et al.. (1999). Separate roles for H‐Ras and Rac in signaling by transforming growth factor (TGF)‐β. European Journal of Biochemistry. 264(1). 110–119. 17 indexed citations
16.
Flaumenhaft, Robert, Soichi Kojima, Mayumi Abé, & Daniel B. Rifkin. (1993). Activation of Latent Transforming Growth Factor ß. Advances in pharmacology. 24. 51–76. 95 indexed citations
17.
Sato, Yasufumi, Mayumi Abé, & Ryosaburo Takaki. (1990). Platelet factor 4 blocks the binding of basic fibroblast growth factor to the receptor and inhibits the spontaneous migration of vascular endothelial cells. Biochemical and Biophysical Research Communications. 172(2). 595–600. 71 indexed citations
18.
Abé, Mayumi, Junko Ono, Yasufumi Sato, Toshimitsu Okeda, & Ryosaburo Takaki. (1990). Effects of glucose and insulin on cultured human microvascular endothelial cells. Diabetes Research and Clinical Practice. 9(3). 287–295. 10 indexed citations
20.
Abé, Mayumi, et al.. (1967). COLUMN FRACTIONATION OF CIS-POLYBUTADIENE-FOR THE PURPOSE OF LARGE SCALE FRACTIONATION-. NIPPON GOMU KYOKAISHI. 40(11). 930–936. 2 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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