Jun Masamune

414 citations
20 papers · 205 · h-index 6

Impact in

    • Spectral Theory in Mathematical Physics
    • Stochastic processes and statistical mechanics
    • Geometric Analysis and Curvature Flows
    • Nonlinear Partial Differential Equations

Papers in

    • Spectral Theory in Mathematical Physics 8
    • Stochastic processes and statistical mechanics 3
    • Geometric Analysis and Curvature Flows 12
    • Nonlinear Partial Differential Equations 4
    • Holomorphic and Operator Theory 3

Jun Masamune

14 papers receiving 200 citations

Peers

Jun Masamune
Comparison fields: 5 of 45
  • Mathematical Physics 116
  • Applied Mathematics 107
  • Geometry and Topology 75
  • Computational Theory and Mathematics 66
  • Statistics and Probability 19
Replace W. Hazod with:
W. Hazod Germany
Marc Peigné France
Shutao Chen China
Kevin Whyte United States
A. L. Yakymiv Russia
Lior Fishman United States
Anna Erschler France
J. Orihuela Spain
Anna Verde Italy
Wiesław Kubiś Poland
Jun Masamune relative to W. Hazod Germany W. Hazod's profile →
Citations per field
00.5×10×15×20×
W. Hazod · 1×
Citations per year

Countries citing papers authored by Jun Masamune

Since Specialization
Citations

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

Fields of papers citing papers by Jun Masamune

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Jun Masamune, 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 Jun Masamune Line = papers co-authored together Jun Masamune links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201342
2 201736
3 201133
4 201126
5 201321
6 201220
7 20175
8 20024
9 20114
10 20234
11 20213
12 20053
13 20072
14 20081
15 20081
16 20110
17 20190
18 20210
19 20250
20 20180

About Jun Masamune

Jun Masamune is a scholar working on Mathematical Physics, Applied Mathematics, Geometry and Topology, Computational Theory and Mathematics and Molecular Biology, having authored 20 papers that have together received 205 indexed citations. Recurring topics across this work include Geometric Analysis and Curvature Flows (12 papers), Spectral Theory in Mathematical Physics (8 papers), Nonlinear Partial Differential Equations (4 papers), Stochastic processes and statistical mechanics (3 papers), Geometry and complex manifolds (3 papers), Holomorphic and Operator Theory (3 papers), Advanced Mathematical Modeling in Engineering (3 papers) and Geometric and Algebraic Topology (3 papers). The work is most often cited by research in Mathematical Physics (116 citations), Applied Mathematics (107 citations), Geometry and Topology (75 citations), Computational Theory and Mathematics (66 citations) and Statistics and Probability (19 citations). Jun Masamune has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Xueping Huang, Alexander Grigorʼyan, Toshihiro Uemura, Radosław K. Wojciechowski, Matthias Keller, Jian Wang, Ioannis K. Zervantonakis, M. NAKAYAMA, Daisuke Yoshino and Kenichi Funamoto. Their work appears in journals such as Journal of Functional Analysis, Rendiconti Lincei Matematica e Applicazioni, Journal of Fourier Analysis and Applications, Journal de Mathématiques Pures et Appliquées and Nonlinear Analysis.

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.

Explore authors with similar magnitude of impact