Naoko Kondo

904 total citations
33 papers, 673 citations indexed

About

Naoko Kondo is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Naoko Kondo has authored 33 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Surgery and 5 papers in Oncology. Recurrent topics in Naoko Kondo's work include Cell Image Analysis Techniques (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers) and Single-cell and spatial transcriptomics (2 papers). Naoko Kondo is often cited by papers focused on Cell Image Analysis Techniques (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers) and Single-cell and spatial transcriptomics (2 papers). Naoko Kondo collaborates with scholars based in Japan, United States and China. Naoko Kondo's co-authors include Akihiro Hiraguri, Toshiyuki Fukuhara, Hisashi Koiwa, Kazuo Shinozaki, Motoaki Seki, Noboru Yamazaki, Koichi Igarashi, Hideki Minematsu, Toshiyuki Momma and S. Nakamura and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Physical review. B, Condensed matter.

In The Last Decade

Naoko Kondo

31 papers receiving 659 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naoko Kondo Japan 12 331 289 59 45 40 33 673
Qingquan Chen United States 17 348 1.1× 76 0.3× 51 0.9× 87 1.9× 21 0.5× 36 943
Lucia Falcigno Italy 16 408 1.2× 99 0.3× 60 1.0× 24 0.5× 62 1.6× 69 756
Jiafei Li China 9 730 2.2× 60 0.2× 37 0.6× 101 2.2× 54 1.4× 40 994
Gary J. Tong United States 5 575 1.7× 46 0.2× 158 2.7× 20 0.4× 43 1.1× 6 771
Mei Ling Chen United States 11 190 0.6× 29 0.1× 49 0.8× 15 0.3× 61 1.5× 17 567
Sunghyun Kim South Korea 15 367 1.1× 92 0.3× 127 2.2× 30 0.7× 45 1.1× 47 700
Stefan Gaunitz Sweden 14 431 1.3× 64 0.2× 128 2.2× 9 0.2× 10 0.3× 20 692
Deborah M. Ramsey Australia 14 470 1.4× 46 0.2× 36 0.6× 23 0.5× 57 1.4× 19 718
Yusuke Hashimoto Japan 15 226 0.7× 25 0.1× 63 1.1× 39 0.9× 21 0.5× 36 667

Countries citing papers authored by Naoko Kondo

Since Specialization
Citations

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

Fields of papers citing papers by Naoko Kondo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoko Kondo

This figure shows the co-authorship network connecting the top 25 collaborators of Naoko Kondo. A scholar is included among the top collaborators of Naoko Kondo 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 Naoko Kondo. Naoko Kondo 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.
Kondo, Naoko, et al.. (2025). Remdesivir-induced severe hypoglycemia in an elderly man without diabetes: a case report. Journal of Pharmaceutical Health Care and Sciences. 11(1). 5–5.
2.
Hayashi, Mika, Shinsuke Ohnuki, Naoko Kondo, et al.. (2023). Is AI essential? Examining the need for deep learning in image-activated sorting of Saccharomyces cerevisiae. Lab on a Chip. 23(19). 4232–4244. 5 indexed citations
3.
Itto‐Nakama, Kaori, Shun Watanabe, Shinsuke Ohnuki, et al.. (2023). Prediction of ethanol fermentation under stressed conditions using yeast morphological data. Journal of Bioscience and Bioengineering. 135(3). 210–216. 10 indexed citations
4.
Isozaki, Akihiro, Maik Herbig, Mika Hayashi, et al.. (2022). Intelligent sort‐timing prediction for image‐activated cell sorting. Cytometry Part A. 103(1). 88–97. 9 indexed citations
5.
Itto‐Nakama, Kaori, Shun Watanabe, Naoko Kondo, et al.. (2021). AI-based forecasting of ethanol fermentation using yeast morphological data. Bioscience Biotechnology and Biochemistry. 86(1). 125–134. 21 indexed citations
6.
Nakagawa, Yuta, Shinsuke Ohnuki, Naoko Kondo, et al.. (2021). Are droplets really suitable for single-cell analysis? A case study on yeast in droplets. Lab on a Chip. 21(19). 3793–3803. 16 indexed citations
7.
8.
Suzuki, Shota, Naoko Kondo, Minoru Yoshida, Makoto Nishiyama, & Saori Kosono. (2018). Dynamic changes in lysine acetylation and succinylation of the elongation factor Tu in Bacillus subtilis. Microbiology. 165(1). 65–77. 14 indexed citations
9.
Kondo, Naoko & Yasuharu Ikeda. (2014). Practical management and treatment of pancreatic neuroendocrine tumors.. PubMed. 3(4). 276–83. 13 indexed citations
10.
Kondo, Naoko, Ken Shirabe, Yohei Mano, et al.. (2012). Late recurrence after resection of mass-forming intrahepatic cholangiocarcinoma: report of a case. Surgery Today. 42(12). 1210–1214. 2 indexed citations
11.
Kiyota, Eri, Ryo Okada, Naoko Kondo, et al.. (2010). An Arabidopsis RNase III-like protein, AtRTL2, cleaves double-stranded RNA in vitro. Journal of Plant Research. 124(3). 405–414. 16 indexed citations
12.
Kondo, Naoko & Hiroshi Kohno. (2008). Retained appendicolith in an inflamed appendix. Emergency Radiology. 16(2). 105–109. 10 indexed citations
13.
Maruyama, Chizuko, Risa Araki, Naoko Kondo, et al.. (2008). Azuki Bean Juice Lowers Serum Triglyceride Concentrations in Healthy Young Women. Journal of Clinical Biochemistry and Nutrition. 43(1). 19–25. 27 indexed citations
14.
Kondo, Naoko, et al.. (2008). Metastasis of breast cancer to a uterine leiomyoma. Breast Cancer. 16(2). 157–161. 10 indexed citations
15.
Kondo, Naoko, Toshiyuki Watanabe, & Kenro Totani. (2007). Influence of Sensitizer on Two-photon Initiated Polymerization (TPIP) in Photoresist SU-8. Journal of Photopolymer Science and Technology. 20(2). 291–297. 1 indexed citations
16.
Minematsu, Hideki, et al.. (2006). Accumulation of liposome with Sialyl Lewis X to inflammation and tumor region: Application to in vivo bio-imaging. Biochemical and Biophysical Research Communications. 353(3). 553–558. 86 indexed citations
17.
Masuda, Tetsuya, et al.. (2005). Intracellular Enzyme Activities and Autolytic Properties of Lactobacillus Acidophilus and Lactobacillus Gasseri. Food Science and Technology Research. 11(3). 328–331. 8 indexed citations
18.
Hiraguri, Akihiro, Naoko Kondo, Hisashi Koiwa, et al.. (2005). Specific interactions between Dicer-like proteins and HYL1/DRB- family dsRNA-binding proteins in Arabidopsis thaliana. Plant Molecular Biology. 57(2). 173–188. 218 indexed citations
19.
Koiwa, Hisashi, Stéphane Hausmann, Woo Young Bang, et al.. (2004). Arabidopsis C-terminal domain phosphatase-like 1 and 2 are essential Ser-5-specific C-terminal domain phosphatases. Proceedings of the National Academy of Sciences. 101(40). 14539–14544. 89 indexed citations
20.
Momma, Toshiyuki, et al.. (1994). Electrochemical Properties of a Polypyrrole/Polystyrenesulfonate Composite Film and Its Application to Rechargeable Lithium Battery Cathodes. Journal of The Electrochemical Society. 141(9). 2326–2331. 36 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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