Y. Kita

32 total papers · 533 total citations
19 papers, 438 citations indexed

About

Y. Kita is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Hardware and Architecture. According to data from OpenAlex, Y. Kita has authored 19 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Hardware and Architecture. Recurrent topics in Y. Kita's work include Cardiovascular Function and Risk Factors (4 papers), Embedded Systems Design Techniques (3 papers) and Advanced Memory and Neural Computing (2 papers). Y. Kita is often cited by papers focused on Cardiovascular Function and Risk Factors (4 papers), Embedded Systems Design Techniques (3 papers) and Advanced Memory and Neural Computing (2 papers). Y. Kita collaborates with scholars based in Japan and Germany. Y. Kita's co-authors include Gen Shimizu, William H. Gaasch, K. Kawamura, Toshio Saito, Yuzo Hirota, Ichiro Kurokawa, Kenichi Umeda, Akira Genda, Norihiko Sugihara and Masahiko Shimizu and has published in prestigious journals such as Circulation, IEEE Journal of Solid-State Circuits and Review of Scientific Instruments.

In The Last Decade

Y. Kita

18 papers receiving 426 citations

Author Peers

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

Author						Papers	Cites
Y. Kita	338	130	56	24	23	19	438
Toshikazu Sobue	316 0.9×	91 0.7×	65 1.2×	26 1.1×	34 1.5×	25	388
Christian Rost	220 0.7×	97 0.7×	101 1.8×	22 0.9×	30 1.3×	26	389
F. J. Klocke	327 1.0×	230 1.8×	90 1.6×	10 0.4×	25 1.1×	11	469
Aa. Charlier	300 0.9×	111 0.9×	77 1.4×	27 1.1×	38 1.7×	34	420
Lionel Beck	296 0.9×	72 0.6×	89 1.6×	31 1.3×	57 2.5×	13	404
Maren Maanja	317 0.9×	153 1.2×	45 0.8×	23 1.0×	41 1.8×	21	384
ADAM B. DENISON	192 0.6×	94 0.7×	111 2.0×	16 0.7×	35 1.5×	22	480
Alejandro de la Rosa	230 0.7×	95 0.7×	44 0.8×	41 1.7×	41 1.8×	24	391
A Robert	295 0.9×	232 1.8×	79 1.4×	8 0.3×	20 0.9×	12	417
J. P. Merillon	339 1.0×	76 0.6×	105 1.9×	14 0.6×	22 1.0×	24	399

Countries citing papers authored by Y. Kita

Since Specialization

Citations

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

Fields of papers citing papers by Y. Kita

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. Kita

This figure shows the co-authorship network connecting the top 25 collaborators of Y. Kita. A scholar is included among the top collaborators of Y. Kita 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 Y. Kita. Y. Kita 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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