Rie Ayuzawa

578 total citations
11 papers, 486 citations indexed

About

Rie Ayuzawa is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Rie Ayuzawa has authored 11 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Oncology. Recurrent topics in Rie Ayuzawa's work include Virus-based gene therapy research (2 papers), Estrogen and related hormone effects (2 papers) and Mesenchymal stem cell research (2 papers). Rie Ayuzawa is often cited by papers focused on Virus-based gene therapy research (2 papers), Estrogen and related hormone effects (2 papers) and Mesenchymal stem cell research (2 papers). Rie Ayuzawa collaborates with scholars based in United States and Japan. Rie Ayuzawa's co-authors include Masaaki Tamura, Chiyo Doi, Deryl Troyer, Dharmendra Kumar Maurya, Marla Pyle, Raja Shekar Rachakatla, Mark L. Weiss, Chanran Ganta, Gordon A. Andrews and Toshiro Ohta and has published in prestigious journals such as Cancer Research, Journal of Cellular Physiology and Cancer Letters.

In The Last Decade

Rie Ayuzawa

11 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rie Ayuzawa United States 11 211 205 141 85 81 11 486
Chiyo Doi United States 11 212 1.0× 262 1.3× 166 1.2× 71 0.8× 101 1.2× 11 522
William C. De Wolf United States 7 179 0.8× 137 0.7× 77 0.5× 42 0.5× 95 1.2× 13 491
Bo Dai China 12 319 1.5× 64 0.3× 66 0.5× 41 0.5× 128 1.6× 34 547
Ibrahim Elmadbouh Egypt 10 205 1.0× 85 0.4× 43 0.3× 87 1.0× 162 2.0× 29 431
Yaowalak U‐pratya Thailand 16 414 2.0× 166 0.8× 67 0.5× 25 0.3× 110 1.4× 47 747
Amy L. Pyle United States 10 263 1.2× 87 0.4× 82 0.6× 29 0.3× 47 0.6× 13 442
Hikaru Matsuda Japan 9 269 1.3× 36 0.2× 96 0.7× 54 0.6× 99 1.2× 12 546
Zhiling Qu China 11 156 0.7× 89 0.4× 75 0.5× 34 0.4× 69 0.9× 21 380
Lingling Shu China 14 274 1.3× 37 0.2× 74 0.5× 40 0.5× 50 0.6× 35 596
Unnikrishnan M. Chandrasekharan United States 10 253 1.2× 96 0.5× 34 0.2× 93 1.1× 41 0.5× 12 543

Countries citing papers authored by Rie Ayuzawa

Since Specialization
Citations

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

Fields of papers citing papers by Rie Ayuzawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rie Ayuzawa

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

All Works

11 of 11 papers shown
2.
Maurya, Dharmendra Kumar, Rie Ayuzawa, Chiyo Doi, Deryl Troyer, & Masaaki Tamura. (2011). Topoisomerase I inhibitor SN-38 effectively attenuates growth of human non-small cell lung cancer cell lines in vitro and in vivo. Journal of Environmental Pathology Toxicology and Oncology. 30(1). 1–10. 25 indexed citations
3.
Doi, Chiyo, Noboru Egashira, Atsushi Kawabata, et al.. (2010). Angiotensin II type 2 receptor signaling significantly attenuates growth of murine pancreatic carcinoma grafts in syngeneic mice. BMC Cancer. 10(1). 67–67. 61 indexed citations
4.
Doi, Chiyo, Rie Ayuzawa, Dharmendra Kumar Maurya, et al.. (2010). Over-expression of angiotensin II type 2 receptor gene induces cell death in lung adenocarcinoma cells. Cancer Biology & Therapy. 9(4). 277–285. 54 indexed citations
5.
Ganta, Chanran, Chiyo Doi, Rie Ayuzawa, et al.. (2009). Rat Umbilical Cord Stem Cells Completely Abolish Rat Mammary Carcinomas with No Evidence of Metastasis or Recurrence 100 Days Post–Tumor Cell Inoculation. Cancer Research. 69(5). 1815–1820. 100 indexed citations
6.
Ayuzawa, Rie, Chiyo Doi, Raja Shekar Rachakatla, et al.. (2009). Naïve human umbilical cord matrix derived stem cells significantly attenuate growth of human breast cancer cells in vitro and in vivo. Cancer Letters. 280(1). 31–37. 107 indexed citations
7.
Tani, Tatsuo, Rie Ayuzawa, Tetsuo Takagi, et al.. (2008). Angiotensin II bi-directionally regulates cyclooxygenase-2 expression in intestinal epithelial cells. Molecular and Cellular Biochemistry. 315(1-2). 185–193. 20 indexed citations
8.
Miller, Kathryn B., et al.. (2008). The synergistic induction of cyclooxygenase-2 in lung fibroblasts by angiotensin II and pro-inflammatory cytokines. Molecular and Cellular Biochemistry. 320(1-2). 163–171. 15 indexed citations
10.
Eguchi, Ryoji, Hirotaka Naitou, Kazuhiro Kunimasa, et al.. (2008). Proteomic analysis of hypoxia‐induced tube breakdown of an in vitro capillary model composed of HUVECs: Potential role of p38‐regulated reduction of HSP27. PROTEOMICS. 8(14). 2897–2906. 16 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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