Naoki Nishimoto

476 total citations
30 papers, 298 citations indexed

About

Naoki Nishimoto is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Naoki Nishimoto has authored 30 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Surgery and 5 papers in Epidemiology. Recurrent topics in Naoki Nishimoto's work include Biomedical Text Mining and Ontologies (7 papers), Liver Disease Diagnosis and Treatment (4 papers) and Topic Modeling (3 papers). Naoki Nishimoto is often cited by papers focused on Biomedical Text Mining and Ontologies (7 papers), Liver Disease Diagnosis and Treatment (4 papers) and Topic Modeling (3 papers). Naoki Nishimoto collaborates with scholars based in Japan and United States. Naoki Nishimoto's co-authors include Norifumi Kawada, Hideki Fujii, Hirokazu Takahashi, Atsushi Nakajima, Kento Imajo, Masato Yoneda, Kazuaki Chayama, Yuichiro Eguchi, Takashi Nakahara and Hideyuki Hyogo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Naoki Nishimoto

30 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naoki Nishimoto Japan 11 115 71 54 45 42 30 298
J Osztovits Hungary 9 115 1.0× 55 0.8× 46 0.9× 42 0.9× 64 1.5× 23 338
Nirmala D. Sirisena Sri Lanka 12 74 0.6× 47 0.7× 153 2.8× 64 1.4× 34 0.8× 54 504
Guillaume Grzych France 11 117 1.0× 39 0.5× 85 1.6× 46 1.0× 21 0.5× 34 336
Rekha Kumari India 10 64 0.6× 35 0.5× 40 0.7× 47 1.0× 21 0.5× 75 373
Kasım Demir Türkiye 7 71 0.6× 26 0.4× 74 1.4× 41 0.9× 32 0.8× 10 335
Thomas Wiesel Germany 12 96 0.8× 81 1.1× 80 1.5× 84 1.9× 14 0.3× 17 477
Mehmet Muhittin Yalçın Türkiye 11 59 0.5× 127 1.8× 38 0.7× 47 1.0× 19 0.5× 49 322
Seohyuk Lee United States 9 71 0.6× 52 0.7× 55 1.0× 82 1.8× 30 0.7× 31 284
MARWA AL-BADRI United States 9 88 0.8× 112 1.6× 38 0.7× 53 1.2× 16 0.4× 20 362

Countries citing papers authored by Naoki Nishimoto

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Nishimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoki Nishimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Nishimoto. A scholar is included among the top collaborators of Naoki Nishimoto 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 Naoki Nishimoto. Naoki Nishimoto 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.
Kano, Satoshi, Ichiro Kinoshita, Yuichiro Tada, et al.. (2025). Multicenter phase II trial of trastuzumab and docetaxel for HER2-positive salivary gland cancer. Japanese Journal of Clinical Oncology. 55(10). 1131–1140. 1 indexed citations
2.
Kawabori, Masahito, Satoshi Kuroda, Hideo Shichinohe, et al.. (2024). Intracerebral transplantation of MRI-trackable autologous bone marrow stromal cells for patients with subacute ischemic stroke. Med. 5(5). 432–444.e4. 12 indexed citations
3.
Tokuda, Masaaki, et al.. (2023). Allulose for the attenuation of postprandial blood glucose levels in healthy humans: A systematic review and meta-analysis. PLoS ONE. 18(4). e0281150–e0281150. 21 indexed citations
4.
Asano, Hiroshi, et al.. (2022). Status of the Current Treatment Options and Potential Future Targets in Uterine Leiomyosarcoma: A Review. Cancers. 14(5). 1180–1180. 15 indexed citations
5.
Fujii, Hideki, Masaru Enomoto, Shinya Fukumoto, et al.. (2021). Validation of a two‐step approach combining serum biomarkers and liver stiffness measurement to predict advanced fibrosis. JGH Open. 5(7). 801–808. 3 indexed citations
6.
Fujii, Hideki, Shinya Fukumoto, Masaru Enomoto, et al.. (2021). The FibroScan-aspartate aminotransferase score can stratify the disease severity in a Japanese cohort with fatty liver diseases. Scientific Reports. 11(1). 13844–13844. 17 indexed citations
7.
Suzuki, Hiromi, Takeshi Yoda, Naoki Nishimoto, et al.. (2019). Behavior problems and dysfunctional parenting: Cross‐sectional study in Japan. Pediatrics International. 61(11). 1096–1102. 7 indexed citations
8.
Jiang, Guoqian, et al.. (2018). Construction of mammographic examination process ontology using bottom–up hierarchical task analysis. Radiological Physics and Technology. 11(1). 73–81. 1 indexed citations
9.
10.
Hifumi, Toru, et al.. (2018). Chest Compression Depth and Rate　― Effect on Instructor Visual Assessment of Chest Compression Quality ―. Circulation Journal. 83(2). 418–423. 6 indexed citations
11.
Nishimoto, Naoki & Katsuhiko Ogasawara. (2017). 7. Ethics in Clinical Research (2). Japanese Journal of Radiological Technology. 73(1). 69–77. 1 indexed citations
12.
Fujita, Koji, Toshiro Niki, Takako Nomura, et al.. (2017). Correlation between serum galectin‐9 levels and liver fibrosis. Journal of Gastroenterology and Hepatology. 33(2). 492–499. 23 indexed citations
13.
Mori, Nobuhiro, et al.. (2017). Fetal facial expressions in small-for-gestational-age and growth-restricted fetuses. The Journal of Maternal-Fetal & Neonatal Medicine. 32(9). 1426–1432. 3 indexed citations
14.
Fu, Hai Ying, Takashi Matsuzaki, Kazushi Murakami, et al.. (2017). Apoptosis inhibitor of macrophage depletion decreased M1 macrophage accumulation and the incidence of cardiac rupture after myocardial infarction in mice. PLoS ONE. 12(11). e0187894–e0187894. 31 indexed citations
15.
Takada, Hiroaki, Toru Hifumi, Naoki Nishimoto, et al.. (2016). Linezolid versus vancomycin for nosocomial pneumonia due to methicillin-resistant Staphylococcus aureus in the elderly: A retrospective cohort analysis. The American Journal of Emergency Medicine. 35(2). 245–248. 11 indexed citations
16.
Sakushima, Ken, Naoki Nishimoto, Masanori Nojima, et al.. (2015). Epidemiology of Multiple System Atrophy in Hokkaido, the Northernmost Island of Japan. The Cerebellum. 14(6). 682–687. 16 indexed citations
17.
Nishimoto, Naoki. (2013). 11. Comparing Multiple Groups with Continuous Data ^|^mdash;One-way Analysis of Variance^|^mdash;. Japanese Journal of Radiological Technology. 69(11). 1320–1330. 1 indexed citations
18.
Nishimoto, Naoki, et al.. (2011). Development of terminology for mammographic techniques for radiological technologists. Radiological Physics and Technology. 4(2). 121–127. 1 indexed citations
19.
Terashita, Takayoshi, et al.. (2009). Hierarchy Structuring for Mammography Technique by Interpretive Structural Modeling Method. Japanese Journal of Radiological Technology. 65(10). 1385–1390. 3 indexed citations
20.
Terae, Satoshi, et al.. (2008). Development of a Medical-text Parsing Algorithm Based on Character Adjacent Probability Distribution for Japanese Radiology Reports. Methods of Information in Medicine. 47(6). 513–521. 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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