Kaoru Nakano

7.7k total citations
39 papers, 552 citations indexed

About

Kaoru Nakano is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Kaoru Nakano has authored 39 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Surgery, 13 papers in Pulmonary and Respiratory Medicine and 7 papers in Molecular Biology. Recurrent topics in Kaoru Nakano's work include Gastric Cancer Management and Outcomes (13 papers), Helicobacter pylori-related gastroenterology studies (6 papers) and Gastrointestinal disorders and treatments (5 papers). Kaoru Nakano is often cited by papers focused on Gastric Cancer Management and Outcomes (13 papers), Helicobacter pylori-related gastroenterology studies (6 papers) and Gastrointestinal disorders and treatments (5 papers). Kaoru Nakano collaborates with scholars based in Japan, United States and India. Kaoru Nakano's co-authors include Noboru Nakano, Hidewaki Nakagawa, Akihiro Fujimoto, Hiroshi Kawachi, Kazuhiro Maejima, Junko Fujisaki, Satoru Miyano, Masashi Fujita, Toshiaki Hirasawa and Akiyoshi Ishiyama and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Radiology.

In The Last Decade

Kaoru Nakano

35 papers receiving 536 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaoru Nakano Japan 14 217 157 156 129 115 39 552
Yingjie Li China 11 187 0.9× 186 1.2× 122 0.8× 44 0.3× 166 1.4× 17 560
Makoto Naito Japan 7 151 0.7× 388 2.5× 65 0.4× 75 0.6× 85 0.7× 16 774
So‐Woon Kim South Korea 10 82 0.4× 154 1.0× 157 1.0× 48 0.4× 91 0.8× 43 511
Yuqian Huang China 13 81 0.4× 119 0.8× 179 1.1× 28 0.2× 120 1.0× 33 490
Nüvi̇t Duraker Türkiye 13 200 0.9× 85 0.5× 244 1.6× 102 0.8× 163 1.4× 22 495
Henrik Nienhüser Germany 13 255 1.2× 129 0.8× 241 1.5× 30 0.2× 263 2.3× 43 632
Bence Kővári Hungary 12 81 0.4× 54 0.3× 160 1.0× 123 1.0× 67 0.6× 41 390
Tiancheng Luo China 13 128 0.6× 127 0.8× 102 0.7× 39 0.3× 43 0.4× 42 482
Jungang Liu China 14 113 0.5× 141 0.9× 224 1.4× 61 0.5× 158 1.4× 53 489
Mingxu Da China 11 73 0.3× 223 1.4× 147 0.9× 51 0.4× 77 0.7× 53 407

Countries citing papers authored by Kaoru Nakano

Since Specialization
Citations

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

Fields of papers citing papers by Kaoru Nakano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaoru Nakano

This figure shows the co-authorship network connecting the top 25 collaborators of Kaoru Nakano. A scholar is included among the top collaborators of Kaoru Nakano 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 Kaoru Nakano. Kaoru Nakano 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.
2.
Sakata, Seiji, Satoko Baba, Yuki Togashi, et al.. (2024). Early gastric cancer with RhoGAP fusion is linked to frequent nodal metastasis and a part of microtubular–mucocellular histology. Gastric Cancer. 27(4). 772–784. 2 indexed citations
3.
Yoshimizu, Shoichi, Manabu Takamatsu, Hiroshi Kawachi, et al.. (2023). Prediction of the invasion depth of superficial nonampullary duodenal adenocarcinoma. Digestive Endoscopy. 36(8). 927–938. 1 indexed citations
4.
Namikawa, Ken, Toshiaki Hirasawa, Kaoru Nakano, et al.. (2022). Risk factors for lymph node metastasis and indication of local resection in duodenal neuroendocrine tumors. JGH Open. 6(3). 189–195. 5 indexed citations
5.
Namikawa, Ken, Kaoru Nakano, Yoshitaka Tokai, et al.. (2022). Clinicopathological characteristics of advanced gastric cancer after Helicobacter pylori eradication. JGH Open. 6(12). 833–838.
6.
Ishioka, Mitsuaki, Hiroyuki Osawa, Toshiaki Hirasawa, et al.. (2022). Performance of an artificial intelligence‐based diagnostic support tool for early gastric cancers: Retrospective study. Digestive Endoscopy. 35(4). 483–491. 17 indexed citations
7.
Takamatsu, Manabu, Noriko Yamamoto, Hiroshi Kawachi, et al.. (2022). Prediction of lymph node metastasis in early colorectal cancer based on histologic images by artificial intelligence. Scientific Reports. 12(1). 2963–2963. 35 indexed citations
8.
Yoshimizu, Shoichi, Hiroshi Kawachi, Yorimasa Yamamoto, et al.. (2020). Clinicopathological features and risk factors for lymph node metastasis in early-stage non-ampullary duodenal adenocarcinoma. Journal of Gastroenterology. 55(8). 754–762. 16 indexed citations
9.
Fujimoto, Akihiro, Masashi Fujita, Takanori Hasegawa, et al.. (2020). Comprehensive analysis of indels in whole-genome microsatellite regions and microsatellite instability across 21 cancer types. Genome Research. 30(3). 334–346. 50 indexed citations
10.
Nakagawa, Hidewaki, Hiroaki Kato, Kazuhiro Maejima, et al.. (2020). Whole genome sequencing analysis identifies recurrent structural alterations in esophageal squamous cell carcinoma. PeerJ. 8. e9294–e9294. 12 indexed citations
11.
Nakagawa, Hidewaki, Seiko Hirono, Shinichi Takano, et al.. (2019). Genomic analysis of pancreatic juice DNA assesses malignant risk of intraductal papillary mucinous neoplasm of pancreas. Cancer Medicine. 8(10). 4565–4573. 19 indexed citations
12.
Ishioka, Mitsuaki, Toshiaki Hirasawa, Hiroshi Kawachi, et al.. (2019). Enterochromaffin-like cell neuroendocrine tumor associated with parietal cell dysfunction. Gastrointestinal Endoscopy. 90(5). 841–845.e1. 6 indexed citations
13.
Mizuno, Kei, Shusuke Akamatsu, Takayuki Sumiyoshi, et al.. (2019). eVIDENCE: a practical variant filtering for low-frequency variants detection in cell-free DNA. Scientific Reports. 9(1). 15017–15017. 11 indexed citations
14.
Tôn, Nguyễn Đăng, Hidewaki Nakagawa, Nguyễn Hải Hà, et al.. (2018). Whole genome sequencing and mutation rate analysis of trios with paternal dioxin exposure. Human Mutation. 39(10). 1384–1392. 15 indexed citations
15.
Umezawa, Shotaro, Naoyoshi Nagata, Shiori Uchiyama, et al.. (2018). Contrast-enhanced CT for Colonic Diverticular Bleeding before Colonoscopy: A Prospective Multicenter Study. Radiology. 288(3). 755–761. 21 indexed citations
16.
Nakano, Kaoru, et al.. (2018). Extrahepatic Collateral Artery Extravasation in Patients with Ruptured Hepatocellular Carcinoma. Journal of Vascular and Interventional Radiology. 29(4). 564–567. 1 indexed citations
17.
Yagi, Kunimasa, Junji Kobayashi, Atsushi Nohara, et al.. (2013). Impact of Serum Retinol-Binding Protein 4 Levels on Regulation of Remnant-Like Particles Triglyceride in Type 2 Diabetes Mellitus. Journal of Diabetes Research. 2013. 1–5. 8 indexed citations
18.
Shigemizu, Daichi, Akihiro Fujimoto, Shintaro Akiyama, et al.. (2013). A practical method to detect SNVs and indels from whole genome and exome sequencing data. Scientific Reports. 3(1). 2161–2161. 37 indexed citations
19.
Yamamoto, Shuji, Kaoru Nakano, Motokazu Tsujikawa, et al.. (2002). ABCA4 gene mutations in Japanese patients with Stargardt disease and retinitis pigmentosa.. PubMed. 43(9). 2819–24. 53 indexed citations
20.
Yoshinaga, Hiroshi, et al.. (1966). A Far Infrared Interferometric Spectrometer with a Special Electronic Computer. Applied Optics. 5(7). 1159–1159. 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.

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