This map shows the geographic impact of Kenji 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 Kenji Eguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenji Eguchi more than expected).
This network shows the impact of papers produced by Kenji 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 Kenji Eguchi. The network helps show where Kenji Eguchi may publish in the future.
Co-authorship network of co-authors of Kenji Eguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Kenji Eguchi.
A scholar is included among the top collaborators of Kenji 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 Kenji Eguchi. Kenji Eguchi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Yamamoto, Makoto, et al.. (2012). [Promising new injection method to prevent angialgia/phlebitis from epirubicin hydrochloride therapy for breast cancer].. PubMed. 39(5). 777–81.1 indexed citations
Takahashi, Toshiaki, Nobuyuki Yamamoto, Toshihiro Nukiwa, et al.. (2010). Phase II study of erlotinib in Japanese patients with advanced non-small cell lung cancer.. PubMed. 30(2). 557–63.30 indexed citations
9.
Sawabata, Noriyoshi, Hisao Asamura, Tomoyuki Goya, et al.. (2010). A Japanese Lung Cancer Registry Study at 2002. The Journal of the Japanese Association for Chest Surgery. 24(1). 110–124.1 indexed citations
Kawai, Jun, Yoshiki Kawata, Noboru Niki, et al.. (2006). Classfication algorithm of Segmental Bronchus based on Multi-Slice CT images. IEICE Technical Report; IEICE Tech. Rep.. 106(225). 5–8.1 indexed citations
12.
Sano, Muneaki, Yoshio Tamaki, Hirofumi Fujii, et al.. (2005). [A multicenter study to determine the efficacy and safety of strontium (89Sr) chloride for palliation of painful bony metastases in cancer patients].. PubMed. 65(4). 399–410.5 indexed citations
13.
Takigawa, Nagio, Mikiko Ida, Yoshihiko Segawa, et al.. (2004). Expression of cyclooxygenase-2, Fas and Fas ligand in pulmonary adenocarcinoma and atypical adenomatous hyperplasia.. PubMed. 23(6D). 5069–73.4 indexed citations
14.
Hirano, Yasushi, Jun‐ichi Hasegawa, Jun‐ichiro Toriwaki, Hironobu Ohmatsu, & Kenji Eguchi. (2003). Analysis of the Relationship between Lung Arteries and Pleura Using 3D Extended Voronoi Tessellation. IEICE technical report. Speech. 102(576). 43–47.
Tada, Atsuhiko, Hiroshi Ueoka, Katsuyuki Kiura, et al.. (2002). [Combination chemotherapy with carboplatin and etoposide for elderly patients aged 76 years or older with small cell lung cancer].. PubMed. 29(5). 751–6.1 indexed citations
17.
Satoh, Hitoshi, Noboru Niki, Kenji Eguchi, et al.. (2001). Computer-Aided Diagnosis System for Comparative Reading of Helical CT Images for the Detection of Lung Cancer. IEICE Transactions on Information and Systems. 84(1). 161–170.6 indexed citations
18.
Kondo, Masaki, Yasushi Hirano, Jun‐ichi Hasegawa, et al.. (2000). Classification of tumors in chest X-ray CT images into the solid and air-containing type and its application to discrimination of the benign and malignant tumors. IEICE technical report. Speech. 100(46). 27–32.2 indexed citations
19.
Hirano, Yasushi, Jun‐ichiro Toriwaki, Yoshito Mekada, et al.. (1997). Quantification of vessels convergence in three-dimensional chest X-ray CT images with three-dimensional concentration index. 15(3). 228–236.8 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.