S. Mita

33 total papers · 1.5k total citations
26 papers, 1.1k citations indexed

About

S. Mita is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, S. Mita has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Electrical and Electronic Engineering and 7 papers in Biomedical Engineering. Recurrent topics in S. Mita's work include Low-power high-performance VLSI design (8 papers), Analog and Mixed-Signal Circuit Design (7 papers) and Pharmacological Receptor Mechanisms and Effects (5 papers). S. Mita is often cited by papers focused on Low-power high-performance VLSI design (8 papers), Analog and Mixed-Signal Circuit Design (7 papers) and Pharmacological Receptor Mechanisms and Effects (5 papers). S. Mita collaborates with scholars based in Japan, South Korea and United States. S. Mita's co-authors include Fumihiko Sano, Takeshi Fujita, Tadahiro Kuroda, T. Sakurai, Kiyoshi Matsuno, T. Nagamatsu, Keiko Matsunaga, M. Kinugawa, M. Kakumu and S. Yoshioka and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, IEEE Journal of Solid-State Circuits and Experimental Cell Research.

In The Last Decade

S. Mita

24 papers receiving 1000 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
S. Mita	626	285	191	180	102	26	1.1k
Albert Kwon	95 0.2×	187 0.7×	236 1.2×	88 0.5×	27 0.3×	30	1.2k
Wai Lee	479 0.8×	387 1.4×	139 0.7×	60 0.3×	26 0.3×	51	1.5k
Qi Guo	239 0.4×	240 0.8×	25 0.1×	108 0.6×	144 1.4×	32	1.5k
Feixiong Zhang	246 0.4×	318 1.1×	51 0.3×	63 0.3×	12 0.1×	55	1.1k
Michael J. Beauchamp	205 0.3×	113 0.4×	671 3.5×	69 0.4×	33 0.3×	18	1.1k
Weikun Hou	329 0.5×	295 1.0×	28 0.1×	15 0.1×	15 0.1×	51	1.1k
Swapnil Bhatia	146 0.2×	643 2.3×	118 0.6×	32 0.2×	20 0.2×	34	1.0k
Jintao Zhang	628 1.0×	32 0.1×	61 0.3×	119 0.7×	36 0.4×	29	946
Ta-Wei Liu	435 0.7×	344 1.2×	44 0.2×	39 0.2×	69 0.7×	47	988
Peter Bösch	157 0.3×	310 1.1×	42 0.2×	138 0.8×	312 3.1×	62	1.4k

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-authorship network of co-authors of S. Mita

This figure shows the co-authorship network connecting the top 25 collaborators of S. Mita. A scholar is included among the top collaborators of S. Mita based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. Mita. S. Mita is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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