Masako Nishikawa

92 total papers · 1.1k total citations
40 papers, 592 citations indexed

About

Masako Nishikawa is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Masako Nishikawa has authored 40 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Physiology and 5 papers in Surgery. Recurrent topics in Masako Nishikawa's work include Sphingolipid Metabolism and Signaling (15 papers), Lipid Membrane Structure and Behavior (4 papers) and Erythrocyte Function and Pathophysiology (4 papers). Masako Nishikawa is often cited by papers focused on Sphingolipid Metabolism and Signaling (15 papers), Lipid Membrane Structure and Behavior (4 papers) and Erythrocyte Function and Pathophysiology (4 papers). Masako Nishikawa collaborates with scholars based in Japan, United States and China. Masako Nishikawa's co-authors include Yutaka Yatomi, Makoto Kurano, Junken Aoki, Kuniyuki Kano, Hitoshi Ikeda, Tetsuya Kawahara, Kunio Sakai∞, Koji Igarashi, Gen Suzuki and Tetsuya Inazu and has published in prestigious journals such as Circulation, Nature Materials and PLoS ONE.

In The Last Decade

Masako Nishikawa

35 papers receiving 581 citations

Author Peers

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

Author						Papers	Cites
Masako Nishikawa	290	116	77	73	61	40	592
Jing Shao	299 1.0×	93 0.8×	82 1.1×	56 0.8×	50 0.8×	43	651
Laura Calleros	283 1.0×	78 0.7×	65 0.8×	41 0.6×	84 1.4×	31	577
Kento Nishida	255 0.9×	107 0.9×	90 1.2×	65 0.9×	40 0.7×	31	608
Qi Feng	252 0.9×	92 0.8×	53 0.7×	56 0.8×	35 0.6×	31	538
Yanni Xiao	288 1.0×	137 1.2×	82 1.1×	26 0.4×	30 0.5×	29	636
Iraimoudi S. Ayene	402 1.4×	101 0.9×	84 1.1×	50 0.7×	31 0.5×	25	695
Agnese Petrera	309 1.1×	100 0.9×	46 0.6×	45 0.6×	96 1.6×	39	686
Wenfang He	362 1.2×	51 0.4×	51 0.7×	58 0.8×	44 0.7×	52	625
Kouseki Hirade	297 1.0×	48 0.4×	46 0.6×	48 0.7×	51 0.8×	38	545
Silvia Costantini	191 0.7×	89 0.8×	68 0.9×	22 0.3×	117 1.9×	46	694

Countries citing papers authored by Masako Nishikawa

Since Specialization

Citations

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

Fields of papers citing papers by Masako Nishikawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masako Nishikawa

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