S. Mita

1.5k citations
26 papers · 1.1k · h-index 13

Impact in

Papers in

S. Mita

24 papers receiving 1.0k citations

Peers

S. Mita
Comparison fields: 5 of 92
  • Hardware and Architecture 180
  • Electrical and Electronic Engineering 627
  • Signal Processing 69
  • Cellular and Molecular Neuroscience 102
  • Biomedical Engineering 192
Replace Jinmei Lai with:
Jinmei Lai China
Ziwei Song China
T. Kamei Japan
Isaac T. Yonemoto United States
Michihiro Shintani Japan
Iván González Spain
Linchuan Li China
Matthew Might United States
Wenye Liu China
S. Mita relative to Jinmei Lai China Jinmei Lai's profile →
Citations per field
00.5×7.3×
Jinmei Lai · 1×
Citations per year

Countries citing papers authored by S. Mita

Since Specialization
Citations

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

Fields of papers citing papers by S. Mita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996364
2 1998193
3 199393
4 199882
5 198066
6 199962
7 199651
8
Resistance of HeLa cell mitochondrial DNA to mutagenesis by chemical carcinogens.
198824
9 199620
10 200220
11
Leakage of aquaporin 5 in the tear of dacryoadenitis mice.
200020
12 200218
13 200317
14 199810
15 19909
16 20028
17 19965
18
Protective effect of (4R)-hexahydro-7,7-dimethyl-6-oxo-1,2,5-dithiazocine-4-carboxylic acid (SA3443), a novel cyclic disulfide, on immunologically induced liver injuries in mice.
19914
19
[Chemotactic activity of human peripheral eosinophils toward leukotriene E4].
19973
20 19932

About S. Mita

S. Mita is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Biomedical Engineering, Pharmacology and Cellular and Molecular Neuroscience, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (8 papers), Analog and Mixed-Signal Circuit Design (7 papers), Pharmacological Receptor Mechanisms and Effects (5 papers), Receptor Mechanisms and Signaling (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Urban Green Space and Health (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Hardware and Architecture (180 citations), Electrical and Electronic Engineering (627 citations), Signal Processing (69 citations), Cellular and Molecular Neuroscience (102 citations) and Biomedical Engineering (192 citations). S. Mita has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Fumihiko Sano, Takeshi Fujita, Tadahiro Kuroda, T. Sakurai, Kiyoshi Matsuno, T. Nagamatsu, Keiko Matsunaga, Kojiro Suzuki, S. Yoshioka and M. Norishima. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Journal of Pharmacology and Experimental Therapeutics, European Journal of Pharmacology, Inflammation Research and Clinical and Experimental Pharmacology and Physiology.

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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