Jun Sugimoto

99 papers receiving 1.9k citations

Peers

Jun Sugimoto
Comparison fields: 5 of 144
  • Obstetrics and Gynecology 216
  • Pediatrics, Perinatology and Child Health 281
  • Immunology 266
  • Biological Psychiatry 29
  • Molecular Biology 723
Replace Tsuneo Takahashi with:
Tsuneo Takahashi Japan
Kazuto Sato Japan
Stefan Gerber Switzerland
Chun‐Ming Chen Taiwan
Kenji Ihara Japan
Jack C. Yu United States
Dae Hee Han South Korea
Satoshi Takeuchi Japan
Christopher J. Hernandez United States
Moon Soo Park South Korea
Jun Sugimoto relative to Tsuneo Takahashi Japan Tsuneo Takahashi's profile →
Citations per field
00.5×1.5×2.4×
Tsuneo Takahashi · 1×
Citations per year

Countries citing papers authored by Jun Sugimoto

Since Specialization
Citations

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

Fields of papers citing papers by Jun Sugimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004321
2 2012282
3 201385
4 200685
5 200183
6 200478
7 200161
8 200960
9 202154
10 201549
11 201345
12 199543
13 200040
14 200236
15 201229
16 198129
17 200928
18 200126
19 200323
20 201122

About Jun Sugimoto

Jun Sugimoto is a scholar working on Materials Chemistry, Aerospace Engineering, Molecular Biology, Mechanical Engineering and Pediatrics, Perinatology and Child Health, having authored 108 papers that have together received 2.0k indexed citations. Recurring topics across this work include Nuclear Materials and Properties (38 papers), Nuclear reactor physics and engineering (26 papers), Nuclear Engineering Thermal-Hydraulics (21 papers), Nuclear and radioactivity studies (12 papers), Combustion and Detonation Processes (8 papers), Pregnancy and preeclampsia studies (8 papers), Prenatal Screening and Diagnostics (7 papers) and Chromosomal and Genetic Variations (7 papers). The work is most often cited by research in Obstetrics and Gynecology (216 citations), Pediatrics, Perinatology and Child Health (281 citations), Immunology (266 citations), Biological Psychiatry (29 citations) and Molecular Biology (723 citations). Jun Sugimoto has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Danny J. Schust, Helene B. Bernstein, Yoshihiro Jinno, Andrea Romani, Christina M. Ramirez, Chiaki Fuke, Tetsuji Miyazaki, M. Shimabukuro, T. Oda and Takaya Oda. Their work appears in journals such as Journal of Nuclear Science and Technology, Nuclear Engineering and Design, Scientific Reports, Biomolecules and International Journal of Molecular Sciences.

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