M. Fujimura

1.4k citations
48 papers · 992 · h-index 19

Impact in

Papers in

M. Fujimura

47 papers receiving 957 citations

Peers

M. Fujimura
Comparison fields: 5 of 105
  • Atomic and Molecular Physics, and Optics 628
  • Electrical and Electronic Engineering 559
  • Health, Toxicology and Mutagenesis 74
  • Materials Chemistry 213
  • Developmental Neuroscience 13
Replace Haihe Jiang with:
Haihe Jiang China
Ansgar Schmidt-Bleker Germany
J. M. Pouvesle France
Jongmin Lee South Korea
Sylvain Iséni Germany
Dingxin Liu China
Zheng Liu China
Artashes Karmenyan Taiwan
Hirofumi Morita Japan
Annemarie Nadort Australia
M. Fujimura relative to Haihe Jiang China Haihe Jiang's profile →
Citations per field
00.5×5.3×
Haihe Jiang · 1×
Citations per year

Countries citing papers authored by M. Fujimura

Since Specialization
Citations

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

Fields of papers citing papers by M. Fujimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Fujimura, 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. Fujimura Line = papers co-authored together M. Fujimura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010123
2 199667
3 200447
4 201145
5 200045
6 201044
7 199444
8 199143
9 199337
10 200336
11 200136
12 200931
13 199729
14 200728
15 200028
16 199225
17 200120
18 200520
19 199919
20 199218

About M. Fujimura

M. Fujimura is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Pulmonary and Respiratory Medicine, Health, Toxicology and Mutagenesis and Materials Chemistry, having authored 48 papers that have together received 992 indexed citations. Recurring topics across this work include Photorefractive and Nonlinear Optics (33 papers), Advanced Fiber Laser Technologies (29 papers), Photonic and Optical Devices (29 papers), Solid State Laser Technologies (7 papers), Nanoparticles: synthesis and applications (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Allergic Rhinitis and Sensitization (2 papers) and Mechanical and Optical Resonators (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (628 citations), Electrical and Electronic Engineering (559 citations), Health, Toxicology and Mutagenesis (74 citations), Materials Chemistry (213 citations) and Developmental Neuroscience (13 citations). M. Fujimura has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Toshiaki Suhara, Hiroshi Nishihara, Kenji Kintaka, M. M. Fejer, Michael Bortz, Hiromi Nabeshi, Kazuma Higashisaka, Yasuo Tsutsumi, Yasuo Yoshioka and Tomoaki Yoshikawa. Their work appears in journals such as Electronics Letters, IEEE Photonics Technology Letters, Journal of Lightwave Technology, Clinical & Experimental Allergy and Archives of Biochemistry and Biophysics.

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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