Shoichi Yamada

4.1k total citations
115 papers, 2.7k citations indexed

About

Shoichi Yamada is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Shoichi Yamada has authored 115 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Astronomy and Astrophysics, 92 papers in Nuclear and High Energy Physics and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Shoichi Yamada's work include Gamma-ray bursts and supernovae (80 papers), Astrophysics and Cosmic Phenomena (52 papers) and Neutrino Physics Research (45 papers). Shoichi Yamada is often cited by papers focused on Gamma-ray bursts and supernovae (80 papers), Astrophysics and Cosmic Phenomena (52 papers) and Neutrino Physics Research (45 papers). Shoichi Yamada collaborates with scholars based in Japan, Germany and United States. Shoichi Yamada's co-authors include Kei Kotake, Kohsuke Sumiyoshi, Katsuhiko Sato, Naofumi Ohnishi, Wakana Iwakami, Shun Furusawa, Hiroki Nagakura, Hideyuki Suzuki, Ken’ichiro Nakazato and Masa‐aki Hashimoto and has published in prestigious journals such as Physical Review Letters, The Astrophysical Journal and Nuclear Physics B.

In The Last Decade

Shoichi Yamada

109 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shoichi Yamada Japan 32 2.2k 1.9k 126 82 49 115 2.7k
Luke F. Roberts United States 23 1.8k 0.8× 1.2k 0.6× 138 1.1× 79 1.0× 50 1.0× 44 2.2k
Evan O’Connor United States 27 2.1k 1.0× 1.5k 0.8× 191 1.5× 63 0.8× 26 0.5× 62 2.5k
K. Kifonidis Germany 18 1.8k 0.8× 1.4k 0.8× 124 1.0× 48 0.6× 26 0.5× 24 2.2k
F. Douglas Swesty United States 8 1.4k 0.7× 869 0.5× 203 1.6× 84 1.0× 50 1.0× 15 1.7k
Kei Kotake Japan 34 2.6k 1.2× 2.0k 1.1× 154 1.2× 58 0.7× 14 0.3× 93 3.0k
Oleg Korobkin United States 22 1.9k 0.9× 897 0.5× 108 0.9× 90 1.1× 61 1.2× 51 2.2k
Tomoya Takiwaki Japan 33 2.3k 1.1× 1.9k 1.0× 153 1.2× 62 0.8× 29 0.6× 85 2.8k
Jacco Vink Netherlands 27 2.6k 1.2× 1.8k 0.9× 116 0.9× 56 0.7× 12 0.2× 122 2.8k
R. S. Warwick United Kingdom 28 2.4k 1.1× 1.2k 0.6× 162 1.3× 104 1.3× 43 0.9× 91 2.5k
Paul P. Plucinsky United States 22 2.1k 1.0× 1.3k 0.7× 42 0.3× 78 1.0× 44 0.9× 93 2.2k

Countries citing papers authored by Shoichi Yamada

Since Specialization
Citations

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

Fields of papers citing papers by Shoichi Yamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoichi Yamada

This figure shows the co-authorship network connecting the top 25 collaborators of Shoichi Yamada. A scholar is included among the top collaborators of Shoichi 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 Shoichi Yamada. Shoichi 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.
Nagakura, Hiroki, et al.. (2025). Quasisteady evolution of fast neutrino-flavor conversions. Physical review. D. 111(2). 6 indexed citations
2.
Nagakura, Hiroki, et al.. (2025). Comparative testing of subgrid models for fast neutrino flavor conversions in core-collapse supernova simulations. Physical review. D. 112(4). 2 indexed citations
3.
4.
Yamada, Shoichi, Hiroki Nagakura, Akira Harada, et al.. (2024). Physical mechanism of core-collapse supernovae that neutrinos drive. Proceedings of the Japan Academy Series B. 100(3). 190–233. 12 indexed citations
5.
Harada, Akira, Hiroki Nagakura, Wakana Iwakami, et al.. (2023). Protoneutron Star Convection Simulated with a New General Relativistic Boltzmann Neutrino Radiation Hydrodynamics Code. The Astrophysical Journal. 944(1). 60–60. 18 indexed citations
6.
Nagakura, Hiroki, et al.. (2023). Universality of the neutrino collisional flavor instability in core-collapse supernovae. Physical review. D. 108(12). 23 indexed citations
7.
Zaizen, Masamichi, et al.. (2023). Systematic study of the resonancelike structure in the collisional flavor instability of neutrinos. Physical review. D. 107(12). 30 indexed citations
8.
Iwakami, Wakana, Akira Harada, Hiroki Nagakura, et al.. (2022). Principal-axis Analysis of the Eddington Tensor for the Early Post-bounce Phase of Rotational Core-collapse Supernovae. The Astrophysical Journal. 933(1). 91–91. 4 indexed citations
9.
Nagakura, Hiroki, Wakana Iwakami, Shun Furusawa, et al.. (2017). Three-dimensional Boltzmann-Hydro Code for Core-collapse in Massive Stars. II. The Implementation of Moving-mesh for Neutron Star Kicks. The Astrophysical Journal Supplement Series. 229(2). 42–42. 38 indexed citations
10.
Takahashi, Kazuya, et al.. (2016). LINKS BETWEEN THE SHOCK INSTABILITY IN CORE-COLLAPSE SUPERNOVAE AND ASYMMETRIC ACCRETIONS OF ENVELOPES. The Astrophysical Journal. 831(1). 75–75. 14 indexed citations
11.
Sumiyoshi, Kohsuke & Shoichi Yamada. (2014). Stellar Core Collapse with Hadron-Quark Phase Transition. Springer Link (Chiba Institute of Technology). 14 indexed citations
12.
Iwakami, Wakana, Hiroki Nagakura, & Shoichi Yamada. (2014). PARAMETRIC STUDY OF FLOW PATTERNS BEHIND THE STANDING ACCRETION SHOCK WAVE FOR CORE-COLLAPSE SUPERNOVAE. The Astrophysical Journal. 786(2). 118–118. 16 indexed citations
13.
Nakazato, Ken’ichiro, Kazuhiro Oyamatsu, & Shoichi Yamada. (2009). Gyroid Phase in Nuclear Pasta. Physical Review Letters. 103(13). 132501–132501. 36 indexed citations
14.
Kotake, Kei, Wakana Iwakami, Naofumi Ohnishi, & Shoichi Yamada. (2009). STOCHASTIC NATURE OF GRAVITATIONAL WAVES FROM SUPERNOVA EXPLOSIONS WITH STANDING ACCRETION SHOCK INSTABILITY. The Astrophysical Journal. 697(2). L133–L136. 58 indexed citations
15.
Mizuno, Yosuke, Shoichi Yamada, Shinji Koide, & K. Shibata. (2005). General relativistic magnetohydrodynamic simulations of collapsars: Rotating black hole cases. 28(3). 423–426. 1 indexed citations
16.
Kotake, Kei, et al.. (2004). Magnetorotational Effects on Anisotropic Neutrino Emission and Convection in Core‐Collapse Supernovae. The Astrophysical Journal. 608(1). 391–404. 92 indexed citations
17.
Kohri, Kazunori & Shoichi Yamada. (2002). Polarization tensors in strong magnetic fields. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 65(4). 16 indexed citations
18.
Mizuta, Akira, Shoichi Yamada, & H. Takabe. (2001). Numerical Study of AGN Jet Propagation with Two Dimensional Relativistic Hydrodynamic Code. Journal of The Korean Astronomical Society. 34(4). 329–331. 2 indexed citations
19.
Sumiyoshi, Kohsuke, Hong Shen, Kazuhiro Oyamatsu, et al.. (2000). Unstable Nuclei and EOS Table for Supernova Explosion and r-Process in Relativistic Many Body Approach. STIN. 133. 1 indexed citations
20.
Yamada, Shoichi, et al.. (1993). Convective Instability in Hot Bubble in a Delayed Supernova Explosion. Progress of Theoretical Physics. 89(6). 1175–1182. 4 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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