Yuma Yamada

4.4k total citations
129 papers, 3.5k citations indexed

About

Yuma Yamada is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Yuma Yamada has authored 129 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Molecular Biology, 13 papers in Biomedical Engineering and 11 papers in Genetics. Recurrent topics in Yuma Yamada's work include RNA Interference and Gene Delivery (71 papers), Mitochondrial Function and Pathology (54 papers) and ATP Synthase and ATPases Research (34 papers). Yuma Yamada is often cited by papers focused on RNA Interference and Gene Delivery (71 papers), Mitochondrial Function and Pathology (54 papers) and ATP Synthase and ATPases Research (34 papers). Yuma Yamada collaborates with scholars based in Japan, Indonesia and Germany. Yuma Yamada's co-authors include Hideyoshi Harashima, Hidetaka Akita, Kentaro Kogure, Yusuke Sato, Takashi Nakamura, Jiro Abe, Eriko Kawamura, Ryo Furukawa, Mitsue Hibino and Hiroyuki Kamiya and has published in prestigious journals such as SHILAP Revista de lepidopterología, Accounts of Chemical Research and ACS Nano.

In The Last Decade

Yuma Yamada

124 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuma Yamada Japan 33 2.7k 647 500 281 276 129 3.5k
Gerard G. M. D’Souza United States 25 1.5k 0.6× 398 0.6× 407 0.8× 161 0.6× 190 0.7× 46 2.1k
Sarah F. Hamm‐Alvarez United States 39 2.1k 0.8× 462 0.7× 567 1.1× 64 0.2× 309 1.1× 152 4.9k
Christopher T. Hensley United States 10 1.6k 0.6× 521 0.8× 303 0.6× 93 0.3× 261 0.9× 12 2.7k
Zhihao Wu China 30 1.6k 0.6× 1.1k 1.7× 248 0.5× 69 0.2× 400 1.4× 101 3.5k
Fernando Domı́nguez Spain 31 1.3k 0.5× 179 0.3× 249 0.5× 52 0.2× 186 0.7× 85 2.5k
Randall W. Moreadith United States 26 1.8k 0.7× 131 0.2× 159 0.3× 214 0.8× 87 0.3× 42 2.9k
Tian Zhao China 17 758 0.3× 423 0.7× 234 0.5× 77 0.3× 216 0.8× 39 1.5k
Christian E.H. Schmelzer Germany 29 954 0.4× 296 0.5× 346 0.7× 47 0.2× 67 0.2× 78 2.7k
Ursula Stochaj Canada 32 2.2k 0.8× 270 0.4× 147 0.3× 25 0.1× 301 1.1× 106 3.2k
Amelia Morrone Italy 29 1.6k 0.6× 139 0.2× 65 0.1× 410 1.5× 101 0.4× 145 3.4k

Countries citing papers authored by Yuma Yamada

Since Specialization
Citations

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

Fields of papers citing papers by Yuma Yamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuma Yamada

This figure shows the co-authorship network connecting the top 25 collaborators of Yuma Yamada. A scholar is included among the top collaborators of Yuma Yamada 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 Yuma Yamada. Yuma Yamada 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.
Suzuki, Yuichi, Eleni Samaridou, Moritz Beck‐Broichsitter, et al.. (2025). Marginal-zone B cells as promising targets of an mRNA-loaded, lipid-nanoparticle cancer vaccine. Next Nanotechnology. 8. 100154–100154. 3 indexed citations
2.
Shiraki, Katsuya, et al.. (2025). Mitochondrial Activation and Therapeutics: Innovations in Cell- and Organelle-Specific Medicine. Biological and Pharmaceutical Bulletin. 48(11). 1652–1666.
3.
Harashima, Hideyoshi, et al.. (2024). Different Effects of Berberine Delivery to Mitochondria on Cells Derived from the Neural Crest. Biological and Pharmaceutical Bulletin. 47(10). 1726–1733.
4.
Harashima, Hideyoshi, et al.. (2023). Development of Liposomes That Target Axon Terminals Encapsulating Berberine in Cultured Primary Neurons. Pharmaceutics. 16(1). 49–49. 2 indexed citations
5.
Kojima, Keiichi, et al.. (2023). Development of light-induced disruptive liposomes (LiDL) as a photoswitchable carrier for intracellular substance delivery. Chemical Communications. 59(49). 7591–7594. 1 indexed citations
6.
7.
Hibino, Mitsue, Masatoshi Maeki, Manabu Tokeshi, et al.. (2023). A system that delivers an antioxidant to mitochondria for the treatment of drug-induced liver injury. Scientific Reports. 13(1). 6961–6961. 16 indexed citations
8.
Yamada, Yuma, et al.. (2022). Recent advances in delivering RNA-based therapeutics to mitochondria. Expert Opinion on Biological Therapy. 22(9). 1209–1219. 6 indexed citations
9.
Nakamura, Takashi, Yusuke Sato, Yuma Yamada, et al.. (2022). Extrahepatic targeting of lipid nanoparticles in vivo with intracellular targeting for future nanomedicines. Advanced Drug Delivery Reviews. 188. 114417–114417. 95 indexed citations
10.
11.
Kawamura, Eriko, Jiro Abe, Akira Sudo, et al.. (2020). Validation of Gene Therapy for Mutant Mitochondria by Delivering Mitochondrial RNA Using a MITO-Porter. Molecular Therapy — Nucleic Acids. 20. 687–698. 64 indexed citations
12.
Furukawa, Ryo, Yuma Yamada, Eriko Kawamura, & Hideyoshi Harashima. (2015). Mitochondrial delivery of antisense RNA by MITO-Porter results in mitochondrial RNA knockdown, and has a functional impact on mitochondria. Biomaterials. 57. 107–115. 50 indexed citations
13.
Haga, Sanae, Takeaki Ozawa, Yuma Yamada, et al.. (2014). p62/SQSTM1 Plays a Protective Role in Oxidative Injury of Steatotic Liver in a Mouse Hepatectomy Model. Antioxidants and Redox Signaling. 21(18). 2515–2530. 20 indexed citations
14.
Kawamura, Eriko, Yuma Yamada, & Hideyoshi Harashima. (2013). Mitochondrial targeting functional peptides as potential devices for the mitochondrial delivery of a DF-MITO-Porter. Mitochondrion. 13(6). 610–614. 41 indexed citations
15.
Yamada, Yuma, et al.. (2012). 細胞質及びミトコンドリア融合性エンベロープを持つ革新的ナノ担体DF-MITO-Porterを用いたミトコンドリア標的DNA供給. Journal of Nanoparticle Research. 14(8). 1–15. 9 indexed citations
16.
Yamada, Yuma, et al.. (2012). Post-nuclear gene delivery events for transgene expression by biocleavable polyrotaxanes. Biomaterials. 33(15). 3952–3958. 25 indexed citations
17.
Yamada, Yuma, et al.. (2011). Dual Function MITO-Porter, a Nano Carrier Integrating Both Efficient Cytoplasmic Delivery and Mitochondrial Macromolecule Delivery. Molecular Therapy. 19(8). 1449–1456. 100 indexed citations
18.
Yamada, Yuma, et al.. (2010). Mitochondrial matrix delivery using MITO-Porter, a liposome-based carrier that specifies fusion with mitochondrial membranes. Biochemical and Biophysical Research Communications. 397(2). 181–186. 57 indexed citations
19.
Yamada, Yuma, Hidetaka Akita, Hiroyuki Kamiya, et al.. (2007). MITO-Porter: A liposome-based carrier system for delivery of macromolecules into mitochondria via membrane fusion. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1778(2). 423–432. 235 indexed citations
20.
Yamada, Yuma, T. Ikeda, & Akira Tsuda. (2002). Abundance, growth and life cycle of the mesopelagic amphipod Primno abyssalis (Hyperiidea: Phrosinidae) in the Oyashio region, western subarctic Pacific. Marine Biology. 141(2). 333–341. 12 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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