Yuki Koyama

1.7k total citations · 1 hit paper
50 papers, 1.3k citations indexed

About

Yuki Koyama is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Materials Chemistry. According to data from OpenAlex, Yuki Koyama has authored 50 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Computer Vision and Pattern Recognition and 6 papers in Materials Chemistry. Recurrent topics in Yuki Koyama's work include Bone Metabolism and Diseases (9 papers), Nematode management and characterization studies (4 papers) and Bone and Dental Protein Studies (4 papers). Yuki Koyama is often cited by papers focused on Bone Metabolism and Diseases (9 papers), Nematode management and characterization studies (4 papers) and Bone and Dental Protein Studies (4 papers). Yuki Koyama collaborates with scholars based in Japan, United States and China. Yuki Koyama's co-authors include Takeo Igarashi, Noriyoshi Shimizu, Naoto Suzuki, Narihiro Mitsui, Masao Maeno, Daisuke Sakamoto, Kichibee Otsuka, Yong‐Jin Pu, Nobuyuki Umetani and Ryan Schmidt and has published in prestigious journals such as Nature, Journal of Applied Physics and Diabetes.

In The Last Decade

Yuki Koyama

43 papers receiving 1.2k citations

Hit Papers

Delayed fluorescence from inverted singlet and triplet ex... 2022 2026 2023 2024 2022 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Delayed fluorescence from inverted singlet and triplet excited states
    2022 187 citations Naoya Aizawa, Yong‐Jin Pu et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuki Koyama Japan 21 315 249 213 143 105 50 1.3k
Sumit Kumar India 21 216 0.7× 462 1.9× 165 0.8× 154 1.1× 13 0.1× 69 1.6k
Zhao Zhang China 23 192 0.6× 678 2.7× 593 2.8× 20 0.1× 14 0.1× 86 2.0k
Yutaka Yoshida Japan 18 519 1.6× 185 0.7× 223 1.0× 16 0.1× 54 0.5× 144 1.7k
Haoyu Wu China 24 100 0.3× 639 2.6× 144 0.7× 132 0.9× 6 0.1× 102 1.8k
Hyunsu Lee South Korea 19 150 0.5× 375 1.5× 246 1.2× 35 0.2× 20 0.2× 69 1.6k
Kai‐Rong Qin China 22 109 0.3× 394 1.6× 224 1.1× 42 0.3× 13 0.1× 151 1.8k
Yuntao Lu China 24 81 0.3× 547 2.2× 322 1.5× 34 0.2× 16 0.2× 85 2.3k
Qihong Wang China 22 45 0.1× 154 0.6× 172 0.8× 12 0.1× 29 0.3× 75 1.3k
Ziqiang Wang China 26 78 0.2× 1.1k 4.5× 365 1.7× 27 0.2× 38 0.4× 173 2.6k
Xincheng Yao United States 25 219 0.7× 367 1.5× 258 1.2× 100 0.7× 10 0.1× 152 2.2k

Countries citing papers authored by Yuki Koyama

Since Specialization
Citations

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

Fields of papers citing papers by Yuki Koyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuki Koyama

This figure shows the co-authorship network connecting the top 25 collaborators of Yuki Koyama. A scholar is included among the top collaborators of Yuki Koyama 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 Yuki Koyama. Yuki Koyama 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.
Marinho, Murilo M., Yuki Koyama, Yuta Taniguchi, et al.. (2025). Evaluation of (Shared) Autonomy in Robot‐Assisted Vitreoretinal Surgery Using a Surgical Model. International Journal of Medical Robotics and Computer Assisted Surgery. 21(1). e70040–e70040. 1 indexed citations
2.
Nakamura, K, et al.. (2024). Mural infective endocarditis with a mass on the fossa ovalis in the right atrium. Journal of Infection and Chemotherapy. 30(11). 1179–1181.
3.
Aizawa, Naoya, Yong‐Jin Pu, Yu Harabuchi, et al.. (2022). Delayed fluorescence from inverted singlet and triplet excited states. Nature. 609(7927). 502–506. 187 indexed citations breakdown →
4.
Ootaki, Chiyo, Yo Kobayashi, & Yuki Koyama. (2021). Use of Continuous Electrical Impedance Measurement for Accurate Nerve Block in Rabbits. Pain Medicine. 22(4). 800–806.
5.
Koyama, Yuki, et al.. (2020). Pectin drives microbial phosphorus solubilization in soil: Evidence from isolation-based and community-scale approaches. European Journal of Soil Biology. 97. 103169–103169. 10 indexed citations
6.
Koyama, Yuki, et al.. (2020). Gastric lymphoma complicated by phlegmonous gastritis and Guillain–Barré syndrome. Medicine. 99(18). e20030–e20030. 3 indexed citations
7.
Pu, Yong‐Jin, Yuki Koyama, Minjun Kim, et al.. (2019). Exciplex emissions derived from exceptionally long-distance donor and acceptor molecules. Chemical Science. 10(40). 9203–9208. 30 indexed citations
8.
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10.
Koyama, Yuki, et al.. (2016). An Interactive Design System of Free‐Formed Bamboo‐Copters. Computer Graphics Forum. 35(7). 323–332. 1 indexed citations
11.
12.
Koyama, Yuki, et al.. (2015). A real-time PCR based assay as an alternative to a seedling assay to evaluate potential risk of <i>Meloidogyne incognita </i>. Nematological Research (Japanese Journal of Nematology). 45(2). 85–91. 1 indexed citations
13.
Kawato, Takayuki, Natsuko Tanabe, Taro Kariya, et al.. (2012). Compressive Force Induces the Expression of Bone Remodeling-Related Proteins via Interleukin-11 Production in MC3T3-E1 Cells. Journal of Hard Tissue Biology. 21(1). 65–74. 6 indexed citations
14.
Kobayashi, Tetsuhiro, et al.. (2009). Formation of VV Lacunary Polyoxovanadates and Interconversion Reactions of Dodecavanadate Species. European Journal of Inorganic Chemistry. 2009(34). 5156–5163. 46 indexed citations
15.
Mitsui, Narihiro, Naoto Suzuki, Yuki Koyama, et al.. (2007). Effect of Compressive Force on the Production of Prostaglandin E2and its Receptors in Osteoblastic Saos-2 Cells. Connective Tissue Research. 48(5). 246–253. 20 indexed citations
16.
Suzuki, Naoto, et al.. (2007). Compressive force stimulates the expression of osteogenesis-related transcription factors in ROS 17/2.8 cells. Archives of Oral Biology. 53(3). 214–219. 22 indexed citations
17.
Koyama, Yuki, Susan R. Rittling, Kunikazu Tsuji, et al.. (2006). Osteopontin Deficiency Suppresses High Phosphate Load-Induced Bone Loss via Specific Modulation of Osteoclasts. Endocrinology. 147(6). 3040–3049. 25 indexed citations
18.
Mitsui, Narihiro, Naoto Suzuki, Yuki Koyama, et al.. (2006). Effect of compressive force on the expression of MMPs, PAs, and their inhibitors in osteoblastic Saos-2 cells. Life Sciences. 79(6). 575–583. 21 indexed citations
19.
Mitsui, Narihiro, Naoto Suzuki, Masao Maeno, et al.. (2005). Optimal compressive force induces bone formation via increasing bone morphogenetic proteins production and decreasing their antagonists production by Saos-2 cells. Life Sciences. 78(23). 2697–2706. 81 indexed citations
20.
Inada, T., Hiroshi Iwasaki, & Yuki Koyama. (1991). Advantages of two-step annealing for 1-MeV arsenic-ion-implanted layers in silicon. Journal of Applied Physics. 69(7). 4116–4122. 1 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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