R. Kawai

31 total papers · 610 total citations
25 papers, 516 citations indexed

About

R. Kawai is a scholar working on Molecular Biology, Oncology and Cellular and Molecular Neuroscience. According to data from OpenAlex, R. Kawai has authored 25 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in R. Kawai's work include Drug Transport and Resistance Mechanisms (6 papers), Pharmacological Effects and Toxicity Studies (4 papers) and Receptor Mechanisms and Signaling (4 papers). R. Kawai is often cited by papers focused on Drug Transport and Resistance Mechanisms (6 papers), Pharmacological Effects and Toxicity Studies (4 papers) and Receptor Mechanisms and Signaling (4 papers). R. Kawai collaborates with scholars based in Japan, United States and Switzerland. R. Kawai's co-authors include Malcolm Rowland, Chiaki Tanaka, Kenju Otsuka, Hajime Suzuki, Soo‐Chang Song, Yuichi Sugiyama, Ronald G. Blasberg, Kenner C. Rice, Amy Hauck Newman and Kazuko Nakagawa and has published in prestigious journals such as Journal of Controlled Release, Antimicrobial Agents and Chemotherapy and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

R. Kawai

25 papers receiving 496 citations

Author Peers

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

Author						Papers	Cites
R. Kawai	161	130	126	88	67	25	516
Shinji Shimizu	77 0.5×	195 1.5×	71 0.6×	21 0.2×	28 0.4×	19	525
T. Taguchi	298 1.9×	226 1.7×	56 0.4×	37 0.4×	19 0.3×	35	608
Shintaro Nakayama	122 0.8×	230 1.8×	274 2.2×	21 0.2×	6 0.1×	21	588
Takashi Amisaki	82 0.5×	368 2.8×	28 0.2×	14 0.2×	25 0.4×	39	608
Naila Naz	37 0.2×	115 0.9×	26 0.2×	31 0.4×	20 0.3×	41	527
Helmut Schütz	55 0.3×	40 0.3×	28 0.2×	120 1.4×	90 1.3×	40	541
John P. Keogh	370 2.3×	159 1.2×	113 0.9×	177 2.0×	15 0.2×	17	587
Raquel F. Reinoso	98 0.6×	171 1.3×	86 0.7×	29 0.3×	21 0.3×	27	536
Benjamin Zeskind	42 0.3×	203 1.6×	25 0.2×	17 0.2×	17 0.3×	17	506
Yan Liu	87 0.5×	224 1.7×	39 0.3×	18 0.2×	10 0.1×	38	597

Countries citing papers authored by R. Kawai

Since Specialization

Citations

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

Fields of papers citing papers by R. Kawai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Kawai

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