Daiki Eguchi

437 total citations
10 papers, 370 citations indexed

About

Daiki Eguchi is a scholar working on Oncology, Surgery and Molecular Biology. According to data from OpenAlex, Daiki Eguchi has authored 10 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Surgery and 4 papers in Molecular Biology. Recurrent topics in Daiki Eguchi's work include Pancreatic and Hepatic Oncology Research (5 papers), Phagocytosis and Immune Regulation (2 papers) and Cell Adhesion Molecules Research (2 papers). Daiki Eguchi is often cited by papers focused on Pancreatic and Hepatic Oncology Research (5 papers), Phagocytosis and Immune Regulation (2 papers) and Cell Adhesion Molecules Research (2 papers). Daiki Eguchi collaborates with scholars based in Japan. Daiki Eguchi's co-authors include Kenoki Ohuchida, Kazuhiro Mizumoto, Masao Tanaka, Kenji Fujiwara, Shingo Kozono, Naoki Ikenaga, Lin Cui, Takao Ohtsuka, Shunichi Takahata and Shin Akagawa and has published in prestigious journals such as PLoS ONE, Cancer Research and Theranostics.

In The Last Decade

Daiki Eguchi

10 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daiki Eguchi Japan 8 235 142 87 85 82 10 370
Prabhu Arumugam United Kingdom 9 292 1.2× 132 0.9× 73 0.8× 99 1.2× 87 1.1× 11 386
Cynthia Waasdorp Netherlands 10 283 1.2× 143 1.0× 129 1.5× 100 1.2× 80 1.0× 18 452
Anne Steins Netherlands 10 248 1.1× 113 0.8× 50 0.6× 96 1.1× 91 1.1× 16 395
Anke Van den broeck Belgium 6 285 1.2× 233 1.6× 53 0.6× 128 1.5× 63 0.8× 9 433
Yusaku Watanabe Japan 9 231 1.0× 113 0.8× 139 1.6× 64 0.8× 50 0.6× 37 360
Chris Nevala-Plagemann United States 8 280 1.2× 107 0.8× 56 0.6× 107 1.3× 53 0.6× 28 398
Sandra Gottschling Germany 11 189 0.8× 154 1.1× 91 1.0× 101 1.2× 49 0.6× 16 431
Nina Waldburger Germany 13 149 0.6× 201 1.4× 63 0.7× 119 1.4× 73 0.9× 19 456
Paul-Yang Lin Taiwan 7 227 1.0× 124 0.9× 159 1.8× 61 0.7× 99 1.2× 8 404
Yasuyuki Maruse Japan 9 206 0.9× 123 0.9× 131 1.5× 85 1.0× 57 0.7× 16 392

Countries citing papers authored by Daiki Eguchi

Since Specialization
Citations

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

Fields of papers citing papers by Daiki Eguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daiki Eguchi

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

All Works

10 of 10 papers shown
1.
Zheng, Biao, Jianhua Qu, Kenoki Ohuchida, et al.. (2020). LAMA4 upregulation is associated with high liver metastasis potential and poor survival outcome of Pancreatic Cancer. Theranostics. 10(22). 10274–10289. 26 indexed citations
2.
Akagawa, Shin, Kenoki Ohuchida, Nobuhiro Torata, et al.. (2014). Peritoneal myofibroblasts at metastatic foci promote dissemination of pancreatic cancer. International Journal of Oncology. 45(1). 113–120. 8 indexed citations
3.
Kozono, Shingo, Kenoki Ohuchida, Daiki Eguchi, et al.. (2013). Pirfenidone Inhibits Pancreatic Cancer Desmoplasia by Regulating Stellate Cells. Cancer Research. 73(7). 2345–2356. 173 indexed citations
4.
Eguchi, Daiki, Kenoki Ohuchida, Shingo Kozono, et al.. (2013). MAL2 expression predicts distant metastasis and short survival in pancreatic cancer. Surgery. 154(3). 573–582. 31 indexed citations
5.
Kozono, Shingo, Kenoki Ohuchida, Takao Ohtsuka, et al.. (2013). S100A4 mRNA expression level is a predictor of radioresistance of pancreatic cancer cells. Oncology Reports. 30(4). 1601–1608. 15 indexed citations
6.
Fujiwara, Kenji, Kenoki Ohuchida, Kazuhiro Mizumoto, et al.. (2012). CD271+ Subpopulation of Pancreatic Stellate Cells Correlates with Prognosis of Pancreatic Cancer and Is Regulated by Interaction with Cancer Cells. PLoS ONE. 7(12). e52682–e52682. 29 indexed citations
7.
Ikenaga, Naoki, Kenoki Ohuchida, Kazuhiro Mizumoto, et al.. (2012). Pancreatic Cancer Cells Enhance the Ability of Collagen Internalization during Epithelial–Mesenchymal Transition. PLoS ONE. 7(7). e40434–e40434. 37 indexed citations
8.
Eguchi, Daiki, Naoki Ikenaga, Kenoki Ohuchida, et al.. (2012). Hypoxia enhances the interaction between pancreatic stellate cells and cancer cells via increased secretion of connective tissue growth factor. Journal of Surgical Research. 181(2). 225–233. 40 indexed citations
9.
Ohtsuka, Takao, Eishi Nagai, Hiroki Toma, et al.. (2011). Single-incision laparoscopy-assisted surgery for bowel obstruction: Report of three cases. Surgery Today. 41(11). 1519–1523. 5 indexed citations
10.
Eguchi, Daiki, T Nishizaki, Masayuki Ohta, et al.. (2006). Laparoscopy-assisted right hepatic lobectomy using a wall-lifting procedure. Surgical Endoscopy. 20(8). 1326–1328. 6 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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