M. Yokoyama

17.4k citations
279 papers · 10.7k indexed · 2 hit papers · h-index 45

M. Yokoyama

267 papers receiving 10.3k citations

Hit Papers

Doxorubicin-loaded poly(ethylene glycol)–poly(β-benzyl-l-...5101993202620042015250500750

Peers

M. Yokoyama
Comparison fields: 5 of 142
  • Biomaterials 5.2k
  • Molecular Medicine 1.1k
  • Pharmaceutical Science 986
  • Nuclear and High Energy Physics 2.1k
  • Surfaces, Coatings and Films 878
Replace Hans G. Börner with:
Hans G. Börner Germany
N. Boden United Kingdom
Håkan Wennerström Sweden
Dennis G. Hall Canada
Stefan U. Egelhaaf Germany
Gunnar Jeschke Switzerland
E. Rühl Germany
A. T. Hagler United States
Joachim Kohlbrecher Switzerland
Joachim Dzubiella Germany
M. Yokoyama relative to Hans G. Börner Germany Hans G. Börner's profile →
Citations per field
00.5×9.7×
Hans G. Börner · 1×
Citations per year

Countries citing papers authored by M. Yokoyama

Since Specialization
Citations

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

Fields of papers citing papers by M. Yokoyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside M. Yokoyama, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Yokoyama Line = papers co-authored together M. Yokoyama links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 202010
3 202015
4 20194
5 201915
6 20198
7 201845
8 201814
9 20183
10 20182
11 201723
12 201216
13
Implementation of NBI Heating Module FIT3D to Hierarchy-integrated Simulation Code TASK3D
20112
14 20106
15
Extension of High-Ion-Temperature Regime in the Large Helical Device (LHD)
20071
16
Drift Reversal Capability in Helical Systems
20022
17
Cytotoxic activity control of thermo-responsive polymeric micelle for local hyperthermia
19992
18 19993
19 1999165
20
Optimization of M=2 Stellarator
19965

About M. Yokoyama

M. Yokoyama is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Biomaterials, having authored 279 papers that have together received 10.7k indexed citations. Recurring topics across this work include Magnetic confinement fusion research (180 papers), Ionosphere and magnetosphere dynamics (85 papers), Fusion materials and technologies (66 papers), Superconducting Materials and Applications (38 papers), Plasma Diagnostics and Applications (38 papers), Nanoparticle-Based Drug Delivery (33 papers), Particle accelerators and beam dynamics (32 papers) and Laser-Plasma Interactions and Diagnostics (30 papers). The work is most often cited by research in Biomaterials (5.2k citations), Molecular Medicine (1.1k citations) and Pharmaceutical Science (986 citations). M. Yokoyama has collaborated with scholars based in Japan, Germany and Taiwan. Frequent co-authors include Teruo Okano, Kazunori Kataoka, Yasuhisa Sakurai, Yu Sakurai, Glen S. Kwon, Joo Eun Chung, Okano Teruo, Shigeto Fukushima, Takao Aoyagi and Motoichi Kurisawa. Their work appears in journals such as Physical Review Letters, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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