Yuya Nishida

5.4k total citations · 3 hit papers
118 papers, 3.6k citations indexed

About

Yuya Nishida is a scholar working on Ocean Engineering, Epidemiology and Surgery. According to data from OpenAlex, Yuya Nishida has authored 118 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Ocean Engineering, 20 papers in Epidemiology and 18 papers in Surgery. Recurrent topics in Yuya Nishida's work include Underwater Vehicles and Communication Systems (42 papers), Autophagy in Disease and Therapy (18 papers) and Pancreatic function and diabetes (17 papers). Yuya Nishida is often cited by papers focused on Underwater Vehicles and Communication Systems (42 papers), Autophagy in Disease and Therapy (18 papers) and Pancreatic function and diabetes (17 papers). Yuya Nishida collaborates with scholars based in Japan, United States and United Kingdom. Yuya Nishida's co-authors include Eric Verdin, Brian T. Weinert, Matthias Mann, Chunaram Choudhary, Shigeomi Shimizu, Satoko Arakawa, Yoshihide Tsujimoto, Hirofumi Yamaguchi, Masaaki Komatsu and Toku Kanaseki and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Yuya Nishida

100 papers receiving 3.6k citations

Hit Papers

The growing landscape of lysine acetylation links metabol... 2009 2026 2014 2020 2014 2009 2015 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuya Nishida Japan 19 1.8k 1.5k 493 439 420 118 3.6k
Yongqiang Chen China 23 2.8k 1.5× 2.3k 1.5× 234 0.5× 442 1.0× 330 0.8× 66 5.3k
Naoyuki Yamada Japan 27 1.4k 0.8× 1.3k 0.9× 80 0.2× 532 1.2× 307 0.7× 125 3.8k
Zhiping Chen China 27 3.5k 1.9× 822 0.6× 139 0.3× 287 0.7× 906 2.2× 111 5.4k
Sung Chan Kim South Korea 21 2.5k 1.4× 343 0.2× 560 1.1× 212 0.5× 369 0.9× 82 3.7k
Ke Chen China 44 4.1k 2.3× 867 0.6× 172 0.3× 276 0.6× 616 1.5× 213 6.6k
Libo Yao China 52 5.0k 2.8× 457 0.3× 73 0.1× 561 1.3× 325 0.8× 213 8.1k
Zhenghong Lin China 28 1.6k 0.9× 434 0.3× 291 0.6× 256 0.6× 137 0.3× 60 2.6k
Partha Chakrabarti India 28 915 0.5× 394 0.3× 92 0.2× 188 0.4× 652 1.6× 112 2.6k
Brett A. Kaufman United States 36 3.6k 2.0× 651 0.4× 86 0.2× 287 0.7× 683 1.6× 87 6.0k
Ming Wang China 26 998 0.6× 436 0.3× 106 0.2× 181 0.4× 198 0.5× 106 2.6k

Countries citing papers authored by Yuya Nishida

Since Specialization
Citations

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

Fields of papers citing papers by Yuya Nishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuya Nishida

This figure shows the co-authorship network connecting the top 25 collaborators of Yuya Nishida. A scholar is included among the top collaborators of Yuya Nishida 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 Yuya Nishida. Yuya Nishida 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.
Kaga, Hideyoshi, Saori Kakehi, Yuki Someya, et al.. (2025). Factors Associated With Type 2 Diabetes in Older Japanese With Similar Genetic Risk Scores: The Bunkyo Health Study. Journal of the Endocrine Society. 9(2). bvaf019–bvaf019. 1 indexed citations
2.
Zhang, Ran, Xueshu Xie, Chris Carrico, et al.. (2024). Regulation of urea cycle by reversible high-stoichiometry lysine succinylation. Nature Metabolism. 6(3). 550–566. 11 indexed citations
3.
Nishida, Yuya & Hirotaka Watada. (2024). The Up-to-date Treatment for Diabetes and Prevention of its Complications. Juntendo Medical Journal. 70(6). 400–407. 1 indexed citations
4.
Kaga, Hideyoshi, Hitoshi Naito, Saori Kakehi, et al.. (2024). Rationale and Design of the Study to Investigate the Metabolic Action of Imeglimin on Patients with Type 2 Diabetes Mellitus (SISIMAI). Diabetes Therapy. 15(12). 2569–2580.
5.
Ito, Minami, et al.. (2024). Protein acylations induced by a ketogenic diet demonstrate diverse patterns depending on organs and differ between histones and global proteins. Biochemical and Biophysical Research Communications. 712-713. 149960–149960. 3 indexed citations
7.
Eguchi, Kazuhiro, et al.. (2023). Experimental Study of Wavelet-OFDM Radio Communication System for AUVs Under Seawater. 1–4. 1 indexed citations
9.
Nishida, Yuya, Minami Ito, Isei Tanida, et al.. (2023). Monitoring autophagic flux in vivo revealed its physiological response and significance of heterogeneity in pancreatic beta cells. Cell chemical biology. 30(6). 658–671.e4. 6 indexed citations
10.
Nishida, Yuya, et al.. (2023). Genome-wide screening for regulators of degradation of insulin secretory granules with a fluorescent reporter. Biochemical and Biophysical Research Communications. 676. 132–140. 1 indexed citations
11.
Ogihara, Takeshi, Yuya Nishida, Shugo Sasaki, et al.. (2023). Novel time-resolved reporter mouse reveals spatial and transcriptional heterogeneity during alpha cell differentiation. Diabetologia. 67(1). 156–169. 2 indexed citations
12.
Miyatsuka, Takeshi, Sho Osonoi, Masaki Miura, et al.. (2022). Cumulative autophagy insufficiency in mice leads to progression of β-cell failure. Biochemical and Biophysical Research Communications. 611. 38–45. 6 indexed citations
13.
Nishida, Yuya, Tomoya Mita, Makoto Hiki, et al.. (2022). Retrospective Study on the Effects of Glucose Abnormality on COVID-19 Outcomes in Japan. Diabetes Therapy. 13(2). 325–339.
14.
Miyatsuka, Takeshi, Tomoya Mita, Fuki Ikeda, et al.. (2022). Genetic ablation of p62/SQSTM1 demonstrates little effect on pancreatic β-cell function under autophagy deficiency. Biochemical and Biophysical Research Communications. 612. 99–104. 2 indexed citations
15.
Takahashi, Masaya, Takeshi Miyatsuka, Sho Osonoi, et al.. (2020). Biphasic changes in β-cell mass around parturition are accompanied by increased serotonin production. Scientific Reports. 10(1). 4962–4962. 18 indexed citations
16.
Nishida, Yuya, Isei Tanida, Takeshi Miyatsuka, et al.. (2019). Establishment of a system for screening autophagic flux regulators using a modified fluorescent reporter and CRISPR/Cas9. Biochemical and Biophysical Research Communications. 516(3). 686–692. 9 indexed citations
17.
Miyatsuka, Takeshi, et al.. (2019). Conversion of pancreatic α cells into insulin-producing cells modulated by β-cell insufficiency and supplemental insulin administration. Biochemical and Biophysical Research Communications. 521(1). 178–183. 7 indexed citations
18.
Okamoto, Akihiro, et al.. (2016). Obstacle avoidance method appropriate for the steep terrain of the deep seafloor. 195–198. 7 indexed citations
19.
Nishida, Yuya, Tamaki Ura, Takashi Sakamaki, et al.. (2013). Hovering type AUV “Tuna-Sand” and its surveys on Smith caldera in Izu-Ogasawara ocean area. 1–5. 9 indexed citations
20.
Sonoda, Takashi, Yuya Nishida, Amir Ali Forough Nassiraei, & Kazuo Ishii. (2010). Development of antagonistic wire-driven joint employing kinematic transmission mechanism. Journal of Automation Mobile Robotics & Intelligent Systems. 4(2). 62–70. 2 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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