Yuka Kiriyama

830 total citations
34 papers, 574 citations indexed

About

Yuka Kiriyama is a scholar working on Oncology, Surgery and Artificial Intelligence. According to data from OpenAlex, Yuka Kiriyama has authored 34 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 10 papers in Surgery and 10 papers in Artificial Intelligence. Recurrent topics in Yuka Kiriyama's work include AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Helicobacter pylori-related gastroenterology studies (5 papers). Yuka Kiriyama is often cited by papers focused on AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Helicobacter pylori-related gastroenterology studies (5 papers). Yuka Kiriyama collaborates with scholars based in Japan, United States and China. Yuka Kiriyama's co-authors include Tetsuya Tsukamoto, Atsushi Teramoto, Hiroshi Fujita, Kazuyoshi Imaizumi, Kuniaki Saito, Takeshi Toyoda, Xueyuan Cao, Makoto Kuroda, Masae Tatematsu and Ke Yan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Yuka Kiriyama

27 papers receiving 554 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuka Kiriyama Japan 11 268 245 171 111 83 34 574
Shaoping Hu China 10 288 1.1× 178 0.7× 47 0.3× 59 0.5× 77 0.9× 22 628
Tony Wing Chung Mak Hong Kong 11 193 0.7× 155 0.6× 141 0.8× 154 1.4× 440 5.3× 14 732
Muqing Lin United States 16 364 1.4× 129 0.5× 170 1.0× 40 0.4× 80 1.0× 23 708
Khoa Tran Vietnam 7 232 0.9× 181 0.7× 147 0.9× 44 0.4× 123 1.5× 20 721
Yanlin Tan China 17 224 0.8× 201 0.8× 99 0.6× 104 0.9× 31 0.4× 36 633
Mohit Mittal United States 8 245 0.9× 170 0.7× 202 1.2× 107 1.0× 346 4.2× 19 616
Yongtao Zhang China 13 114 0.4× 66 0.3× 45 0.3× 88 0.8× 62 0.7× 54 573
Truong Nguyen Khanh Hung Vietnam 11 140 0.5× 78 0.3× 67 0.4× 47 0.4× 35 0.4× 19 480
He Ma China 9 408 1.5× 147 0.6× 301 1.8× 23 0.2× 18 0.2× 14 634

Countries citing papers authored by Yuka Kiriyama

Since Specialization
Citations

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

Fields of papers citing papers by Yuka Kiriyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuka Kiriyama

This figure shows the co-authorship network connecting the top 25 collaborators of Yuka Kiriyama. A scholar is included among the top collaborators of Yuka Kiriyama 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 Yuka Kiriyama. Yuka Kiriyama 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.
Ashida, Reiko, Takamichi Kuwahara, Takashi Koshikawa, et al.. (2025). AI ‐Assisted Real‐Time Cytologic Diagnosis During EUS ‐ FNA of Pancreatic Masses (With Video). Digestive Endoscopy. 38(1). e70081–e70081.
2.
3.
Teramoto, Atsushi, Yuka Kiriyama, Norihito Yazawa, et al.. (2024). Automated Generation of Lung Cytological Images from Image Findings Using Text-to-Image Technology. Computers. 13(11). 303–303. 1 indexed citations
4.
5.
Teramoto, Atsushi, et al.. (2023). Automated Classification of Urinary Cells: Using Convolutional Neural Network Pre-trained on Lung Cells. Applied Sciences. 13(3). 1763–1763. 1 indexed citations
6.
Yanagi, Takeshi, Atsushi Tanaka, Yuka Kiriyama, et al.. (2023). Acute genitourinary toxicity of pencil beam scanning proton therapy for localized prostate cancer: utility of the transition zone index and average urinary flow rate in predicting acute urinary retention. Japanese Journal of Clinical Oncology. 53(5). 419–428. 2 indexed citations
7.
Kato, Hiroyuki, Yukio Asano, Masahiro Ito, et al.. (2022). Two cases of pancreatic colloid carcinoma with different pathogenesis: case report and review of the literature. Clinical Journal of Gastroenterology. 15(3). 649–661. 2 indexed citations
8.
Sakurai, Eiko, et al.. (2022). γH2AX, a DNA Double-Strand Break Marker, Correlates with PD-L1 Expression in Smoking-Related Lung Adenocarcinoma. International Journal of Molecular Sciences. 23(12). 6679–6679. 4 indexed citations
9.
Teramoto, Atsushi, Tetsuya Tsukamoto, Yuka Kiriyama, et al.. (2022). Automated Classification of Idiopathic Pulmonary Fibrosis in Pathological Images Using Convolutional Neural Network and Generative Adversarial Networks. Diagnostics. 12(12). 3195–3195. 3 indexed citations
10.
Teramoto, Atsushi, Tetsuya Tsukamoto, Yuka Kiriyama, et al.. (2021). Mutual stain conversion between Giemsa and Papanicolaou in cytological images using cycle generative adversarial network. Heliyon. 7(2). e06331–e06331. 10 indexed citations
11.
Sato, Harunobu, et al.. (2021). Implantation of rectosigmoid cancer in a preexisting anal fissure. International Cancer Conference Journal. 10(2). 139–143. 2 indexed citations
12.
Teramoto, Atsushi, Tetsuya Tsukamoto, Yuka Kiriyama, et al.. (2020). Deep learning approach to classification of lung cytological images: Two-step training using actual and synthesized images by progressive growing of generative adversarial networks. PLoS ONE. 15(3). e0229951–e0229951. 76 indexed citations
13.
Sakai, Yasuhiro, Yuka Kiriyama, Tomomitsu Tahara, et al.. (2019). Eradication of <b><i>Helicobacter pylori</i></b> Induces Immediate Regressive Changes in Early Gastric Adenocarcinomas. Pathobiology. 86(2-3). 135–144. 8 indexed citations
14.
Haba, Shin, Kenji Yamao, Akihito Iida, et al.. (2018). Pancreatic mucinous cystic neoplasm: diagnosis. Suizo. 33(2). 118–125.
15.
Tsukamoto, Tetsuya, et al.. (2017). Prevention of Gastric Cancer: Eradication of Helicobacter Pylori and Beyond. International Journal of Molecular Sciences. 18(8). 1699–1699. 62 indexed citations
16.
Kiriyama, Yuka, Tomomitsu Tahara, Tomoyuki Shibata, et al.. (2016). Gastric-and-Intestinal Mixed Intestinal Metaplasia Is Irreversible Point with Eradication of &lt;i&gt;Helicobacter pylori&lt;/i&gt;. 6(2). 93–104. 17 indexed citations
17.
Kiriyama, Yuka, Tetsuya Tsukamoto, Yoshikazu Mizoguchi, et al.. (2016). Intrahepatic peribiliary perivascular epithelioid cell tumor (PEComa) associated with heterotopic pancreas: A case report. Diagnostic Pathology. 11(1). 81–81. 10 indexed citations
18.
Kawai, Satoshi, Eiji Nishio, Haruki Nishizawa, et al.. (2013). Umbilical Endometriosis after Laparoscopic Subtotal Hysterectomy: Three Case Reports. JAPANESE JOURNAL OF GYNECOLOGIC AND OBSTETRIC ENDOSCOPY. 29(1). 189–194. 1 indexed citations
19.
20.
Urano, Makoto, Yuka Kiriyama, Masato Abe, et al.. (2007). A case of mucosa-associated lymphoid tissue (MALT) lymphoma arising in the accessory parotid gland. Oral Medicine & Pathology. 12(1). 19–22. 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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