Kunio Doi

2.2k total citations
74 papers, 1.6k citations indexed

About

Kunio Doi is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kunio Doi has authored 74 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Artificial Intelligence and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kunio Doi's work include AI in cancer detection (14 papers), Virus-based gene therapy research (8 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Kunio Doi is often cited by papers focused on AI in cancer detection (14 papers), Virus-based gene therapy research (8 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Kunio Doi collaborates with scholars based in United States, Japan and France. Kunio Doi's co-authors include Maryellen L. Giger, Robert M. Nishikawa, Shigehiko Katsuragawa, Heber MacMahon, Charles E. Metz, Takayuki Ishida, Yulei Jiang, Robert A. Schmidt, Heber MacMahon and Kazuto Ashizawa and has published in prestigious journals such as Nature Genetics, SHILAP Revista de lepidopterología and Radiology.

In The Last Decade

Kunio Doi

69 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kunio Doi United States 18 740 567 499 240 224 74 1.6k
S.-C.B. Lo United States 20 375 0.5× 470 0.8× 215 0.4× 180 0.8× 385 1.7× 33 1.4k
Nina Linder Finland 24 633 0.9× 743 1.3× 158 0.3× 490 2.0× 300 1.3× 57 2.1k
Famke Aeffner United States 19 519 0.7× 706 1.2× 279 0.6× 329 1.4× 186 0.8× 48 1.8k
Nicolas Coudray United States 17 1.1k 1.4× 1.2k 2.1× 378 0.8× 554 2.3× 258 1.2× 49 2.5k
Hongjun Li China 20 1.0k 1.4× 417 0.7× 248 0.5× 146 0.6× 75 0.3× 109 2.0k
Thomas Wittenberg Germany 24 273 0.4× 691 1.2× 308 0.6× 213 0.9× 421 1.9× 152 2.0k
Peter Chang United States 26 1.3k 1.8× 662 1.2× 395 0.8× 400 1.7× 124 0.6× 71 2.5k
Gabriele Campanella United States 21 1.0k 1.4× 1.2k 2.1× 654 1.3× 856 3.6× 453 2.0× 31 3.9k
Fernando U. Garcia United States 23 150 0.2× 219 0.4× 442 0.9× 615 2.6× 147 0.7× 70 2.1k

Countries citing papers authored by Kunio Doi

Since Specialization
Citations

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

Fields of papers citing papers by Kunio Doi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunio Doi

This figure shows the co-authorship network connecting the top 25 collaborators of Kunio Doi. A scholar is included among the top collaborators of Kunio Doi 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 Kunio Doi. Kunio Doi 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.
Sakai, Takayuki, Kunio Doi, Masami Yoneyama, et al.. (2018). Distortion-free diffusion tensor imaging for evaluation of lumbar nerve roots: Utility of direct coronal single-shot turbo spin-echo diffusion sequence. Magnetic Resonance Imaging. 49. 78–85. 7 indexed citations
2.
Uetsuka, Koji, Takayuki Suzuki, Kunio Doi, & Tetsuo Nunoya. (2012). Malignant Sertoli Cell Tumor in a Goose (Anser cygnoides domesticus). Avian Diseases. 56(4). 781–785. 7 indexed citations
3.
Yamauchi, Hirofumi, et al.. (2007). Expression of epidermal growth factor receptor protein in the liver of db/db mice after partial hepatectomy. Experimental and Toxicologic Pathology. 59(3-4). 157–162. 9 indexed citations
4.
Uetsuka, Koji, et al.. (2005). Impaired proliferation of non-parenchymal cells participates in an impairment of liver regeneration in db/db mice. Experimental and Molecular Pathology. 79(1). 51–58. 6 indexed citations
5.
Kimura, Tohru & Kunio Doi. (2004). Experimental Skin Graft In Hairless Descendants Of Mexican Hairless Dogs. SHILAP Revista de lepidopterología. 2 indexed citations
6.
Poapolathep, Amnart, Yoshiko Sugita‐Konishi, Phitsanu Tulayakul, Kunio Doi, & Susumu Kumagai. (2004). Placental and milk transmission of trichothecene mycotoxins, nivalenol and fusarenon-X, in mice. Toxicon. 44(1). 111–113. 16 indexed citations
7.
Teranishi, Munehiro, et al.. (2003). T-2 toxin-induced toxicity in pregnant rats:histopathology and gene expression profiles. 2003(3). 33–39. 1 indexed citations
8.
Shinozuka, Junko & Kunio Doi. (2003). T-2 toxin-induced apoptosis in the mouse lymphoid and hematopoietic tissues. JSM Mycotoxins. 53(2). 129–140. 2 indexed citations
9.
Ohtsuka, Ryoichi, Koichi Imaoka, Satoru Yamaguchi, et al.. (2001). O11-07 The Effects of Formaldehyde Inhalation on the Responses to Allergen Challenge in Brown Norway and Fischer 344 Rats. The Journal of Toxicological Sciences. 26(4). 229. 1 indexed citations
10.
Nakamura, Katsumi, et al.. (2001). ROC Analysis of Detection of Metastatic Pulmonary Nodules on Digital Chest Radiographs with Temporal Subtraction. Academic Radiology. 8(9). 871–878. 40 indexed citations
11.
Shishido, Takao, et al.. (2001). Histopathological and immunohistochemical studies on arteritis induced by fenoldopam, a vasodilator, in rats. Experimental and Toxicologic Pathology. 53(1). 25–30. 7 indexed citations
12.
Zhang, Wei, Hiroyuki Yoshida, Robert M. Nishikawa, & Kunio Doi. (1998). Optimally weighted wavelet transform based on supervised training for detection of microcalcifications in digital mammograms. Medical Physics. 25(6). 949–956. 44 indexed citations
13.
Xu, Xinwei, Kunio Doi, Takeshi Kobayashi, Heber MacMahon, & Maryellen L. Giger. (1997). Development of an improved CAD scheme for automated detection of lung nodules in digital chest images. Medical Physics. 24(9). 1395–1403. 112 indexed citations
14.
Shinozuka, Junko, et al.. (1996). "A-15 Sequence of T-2 toxin- induced apoptosis in the lymphoid organs of mice. The Journal of Toxicological Sciences. 21(5). 350. 2 indexed citations
15.
Hirasawa, Kensuke, et al.. (1995). Expression and identification of the feline herpesvirus type 1 glycoprotein B (gp143/108). Virus Research. 39(1). 55–61. 13 indexed citations
16.
Morishita, Junji, et al.. (1995). Comparison of two methods for accurate measurement of modulation transfer functions of screen-film systems. Medical Physics. 22(2). 193–200. 31 indexed citations
17.
Kimura, Tohru & Kunio Doi. (1994). Responses of the skin over the dorsum to sunlight in hairless descendants of Mexican hairless dogs. American Journal of Veterinary Research. 55(2). 199–203. 14 indexed citations
18.
Yin, F, Maryellen L. Giger, Kunio Doi, Carl J. Vyborny, & Robert A. Schmidt. (1994). Computerized detection of masses in digital mammograms: Investigation of feature-analysis techniques. Journal of Digital Imaging. 7(1). 18–26. 15 indexed citations
19.
Zhang, Wei, et al.. (1994). Computerized detection of clustered microcalcifications in digital mammograms using a shift‐invariant artificial neural network. Medical Physics. 21(4). 517–524. 128 indexed citations
20.
Doi, Kunio. (1984). DIGITAL RADIOGRAPHY : CURRENT STATUS AND FUTURE POTENTIALS. Japanese Journal of Radiological Technology. 40(4). 581–604. 1 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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