S. Mima

9.3k citations
25 papers · 389 indexed · h-index 6

Impact in

  • Physiology top 10%
    • Adenosine and Purinergic Signaling
  • Cell Biology top 10%
    • Endoplasmic Reticulum Stress and Disease

Papers in

S. Mima

19 papers receiving 383 citations

Peers

S. Mima
Comparison fields: 5 of 81
  • Physiology 41
  • Cell Biology 131
  • Pharmacology 98
  • Biochemistry 27
  • Biological Psychiatry 8
Replace Agnese Chiara Pippione with:
Agnese Chiara Pippione Italy
Zsuzsanna Gáborik Hungary
April Case United States
П.В. Ершов Russia
Mayako Michino United States
Zhecheng Wang China
Val S. Goodfellow United States
Masahiko Ueno Japan
Jean Luc Olivier France
Laura Mugnaini Italy
S. Mima relative to Agnese Chiara Pippione Italy Agnese Chiara Pippione's profile →
Citations per field
00.5×3.4×
Agnese Chiara Pippione · 1×
Citations per year

Countries citing papers authored by S. Mima

Since Specialization
Citations

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

Fields of papers citing papers by S. Mima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004213
2 2005105
3 200822
4 201311
5 20237
6 20155
7 19994
8 20194
9 20194
10 20202
11 20122
12 20152
13 20221
14 20231
15 20131
16 20071
17 20201
18 20121
19 20201
20 20201

About S. Mima

S. Mima is a scholar working on Astronomy and Astrophysics, Electrical and Electronic Engineering, Condensed Matter Physics, Nuclear and High Energy Physics and Civil and Structural Engineering, having authored 25 papers that have together received 389 indexed citations. Recurring topics across this work include Superconducting and THz Device Technology (18 papers), Physics of Superconductivity and Magnetism (9 papers), Radio Frequency Integrated Circuit Design (7 papers), Radio Astronomy Observations and Technology (4 papers), Dark Matter and Cosmic Phenomena (3 papers), Particle Detector Development and Performance (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Physiology (41 citations), Cell Biology (131 citations), Pharmacology (98 citations), Biochemistry (27 citations) and Biological Psychiatry (8 citations). S. Mima has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include T. Mizushima, Tatsuya Hoshino, Shinji Tsutsumi, Wataru Tomisato, Masataka Mori, Tomomi Gotoh, Tomofusa Tsuchiya, Tomoaki Ishihara, Yukari Arai and Takushi Namba. Their work appears in journals such as Journal of Low Temperature Physics, Optics Express, Applied Physics Letters, IEEE Transactions on Applied Superconductivity and Carcinogenesis.

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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