Makoto Saegusa

5.0k total citations
163 papers, 3.8k citations indexed

About

Makoto Saegusa is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Makoto Saegusa has authored 163 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Molecular Biology, 73 papers in Oncology and 29 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Makoto Saegusa's work include Cancer-related Molecular Pathways (25 papers), Wnt/β-catenin signaling in development and cancer (19 papers) and Cancer Cells and Metastasis (14 papers). Makoto Saegusa is often cited by papers focused on Cancer-related Molecular Pathways (25 papers), Wnt/β-catenin signaling in development and cancer (19 papers) and Cancer Cells and Metastasis (14 papers). Makoto Saegusa collaborates with scholars based in Japan, United States and Australia. Makoto Saegusa's co-authors include Isao Okayasu, Miki Hashimura, Takeshi Kuwata, Tsutomu Yoshida, Yasuo Takano, Toshihide Matsumoto, Tetuo Mikami, Yuichi Sato, Yukitoshi Satoh and Shi‐Xu Jiang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Makoto Saegusa

160 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Makoto Saegusa Japan 38 1.8k 1.3k 680 565 539 163 3.8k
Bjørn Risberg Norway 41 1.8k 1.0× 1.4k 1.0× 877 1.3× 761 1.3× 512 0.9× 131 4.6k
Sang Yong Song South Korea 35 1.6k 0.9× 1.2k 0.9× 1.0k 1.5× 624 1.1× 685 1.3× 138 3.9k
Ricardo R. Lastra United States 21 1.2k 0.7× 1.1k 0.8× 781 1.1× 391 0.7× 355 0.7× 76 3.1k
Paulette Mhawech‐Fauceglia United States 35 1.9k 1.1× 2.0k 1.5× 689 1.0× 676 1.2× 484 0.9× 126 5.0k
Elisabeth Müller‐Holzner Austria 38 2.1k 1.2× 1.5k 1.1× 962 1.4× 308 0.5× 229 0.4× 99 4.3k
Claes G. Tropé Norway 36 1.4k 0.8× 1.2k 0.9× 787 1.2× 531 0.9× 592 1.1× 149 3.8k
Stefania Bellone United States 41 1.8k 1.0× 2.4k 1.8× 761 1.1× 571 1.0× 334 0.6× 155 5.4k
Jakob Dupont United States 34 2.5k 1.4× 1.7k 1.3× 505 0.7× 582 1.0× 683 1.3× 111 5.1k
Akira Hirasawa Japan 34 1.4k 0.8× 738 0.6× 790 1.2× 252 0.4× 186 0.3× 130 3.0k
Juanita Lopez United Kingdom 28 1.9k 1.0× 2.6k 1.9× 821 1.2× 1.3k 2.3× 404 0.7× 144 4.9k

Countries citing papers authored by Makoto Saegusa

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Saegusa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Saegusa

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Saegusa. A scholar is included among the top collaborators of Makoto Saegusa 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 Makoto Saegusa. Makoto Saegusa 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.
Harada, Yohei, Yasuko Oguri, Miki Hashimura, et al.. (2024). S100A4 contributes to colorectal carcinoma aggressive behavior and to chemoradiotherapy resistance in locally advanced rectal carcinoma. Scientific Reports. 14(1). 31338–31338. 2 indexed citations
2.
Oguri, Yasuko, Miki Hashimura, Ako Yokoi, et al.. (2023). EBP50 Depletion and Nuclear β-Catenin Accumulation Engender Aggressive Behavior of Colorectal Carcinoma through Induction of Tumor Budding. Cancers. 16(1). 183–183. 3 indexed citations
3.
4.
Uojima, Haruki, Naohisa Wada, Hisashi Hidaka, et al.. (2021). Splenectomy for Torsion of a Wandering Spleen in a Patient with Myeloproliferative Disease. Internal Medicine. 61(14). 2143–2148. 1 indexed citations
5.
Ichinoe, Masaaki, Tetuo Mikami, Nobuyuki Yanagisawa, et al.. (2020). Prognostic values of L-type amino acid transporter 1 and CD98hc expression in breast cancer. Journal of Clinical Pathology. 74(9). 589–595. 12 indexed citations
6.
Matsumoto, Toshihide, et al.. (2020). Requirements of LEFTY and Nodal overexpression for tumor cell survival under hypoxia in glioblastoma. Molecular Carcinogenesis. 59(12). 1409–1419. 6 indexed citations
7.
Satori, Shin, et al.. (2018). Development of High-Performance Pathological Diagnosis Software Using a Hyperspectral Camera. 29. 217–220. 2 indexed citations
8.
9.
Katono, Ken, Yuichi Sato, Shi-Xu Jiang, et al.. (2016). Clinicopathological Significance of S100A10 Expression in Lung Adenocarcinomas. Asian Pacific Journal of Cancer Prevention. 17(1). 289–294. 24 indexed citations
10.
Suzuki, Erina, Sabine Kajita, Hiroyuki Takahashi, et al.. (2015). Transcriptional upregulation of HNF-1β by NF-κB in ovarian clear cell carcinoma modulates susceptibility to apoptosis through alteration in bcl-2 expression. Laboratory Investigation. 95(8). 962–972. 25 indexed citations
11.
Kobayashi, Kiyonori, et al.. (2015). Diagnostic performance of EUS for evaluating the invasion depth of early colorectal cancers. Gastrointestinal Endoscopy. 81(3). 682–690. 31 indexed citations
12.
Takahashi, Hiroyuki, et al.. (2012). Mixed angiosarcoma, clear cell adenocarcinoma and mature teratoma elements in an ovarian tumor: A case report and literature review. Pathology International. 62(8). 538–542. 11 indexed citations
13.
Saegusa, Makoto, Miki Hashimura, & Takeshi Kuwata. (2012). Sox4 functions as a positive regulator of β-catenin signaling through upregulation of TCF4 during morular differentiation of endometrial carcinomas. Laboratory Investigation. 92(4). 511–521. 41 indexed citations
14.
Iyoda, Akira, Shi‐Xu Jiang, Hideki Amano, et al.. (2011). Prediction of postoperative exacerbation of interstitial pneumonia in patients with lung cancer and interstitial lung disease. Experimental and Therapeutic Medicine. 2(6). 1073–1076. 9 indexed citations
15.
Ichinoe, Masaaki, Makoto Saegusa, Takeshi Hasegawa, Sabine Kajita, & Isao Okayasu. (2007). Hepatic fibrosis in a twin with Down syndrome with transient abnormal myelopoiesis : a possible association with the activation of hepatic stellate cells. 37(1). 46–49. 1 indexed citations
16.
Saegusa, Makoto & Isao Okayasu. (1998). Up‐regulation of CD44 Variant Exon Expression in Endometrial Carcinomas: Analysis of mRNA and Protein Isoforms, and Relation to Clinicopathological Factors. Japanese Journal of Cancer Research. 89(3). 291–298. 5 indexed citations
17.
18.
Takano, Yasuo, Makoto Saegusa, Makoto Ikenaga, Hiroyuki Mitomi, & Isao Okayasu. (1996). Apoptosis of colon cancer: Comparison with Ki-67 proliferative activity and expression of p53. Journal of Cancer Research and Clinical Oncology. 122(3). 166–170. 42 indexed citations
19.
Saegusa, Makoto, Yasuo Takano, Yuko Kamata, & Isao Okayasu. (1996). Bcl-2 expression and allelic loss of thep53 gene in gastric carcinomas. Journal of Cancer Research and Clinical Oncology. 122(7). 427–432. 24 indexed citations
20.
Saegusa, Makoto, et al.. (1995). The possible role of bcl–2 expression in the progression of tumors of the uterine cervix. Cancer. 76(11). 2297–2303. 68 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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