Mariko Kasai

44 total papers · 1.0k total citations
30 papers, 603 citations indexed

About

Mariko Kasai is a scholar working on Molecular Biology, Infectious Diseases and Condensed Matter Physics. According to data from OpenAlex, Mariko Kasai has authored 30 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Infectious Diseases and 10 papers in Condensed Matter Physics. Recurrent topics in Mariko Kasai's work include Advanced Condensed Matter Physics (10 papers), Infectious Encephalopathies and Encephalitis (10 papers) and Magnetic and transport properties of perovskites and related materials (9 papers). Mariko Kasai is often cited by papers focused on Advanced Condensed Matter Physics (10 papers), Infectious Encephalopathies and Encephalitis (10 papers) and Magnetic and transport properties of perovskites and related materials (9 papers). Mariko Kasai collaborates with scholars based in Japan, United States and India. Mariko Kasai's co-authors include Yoshinori Tokura, T. Katsufuji, T. Takahashi, T. Yokoya, Hiroshi Katayama‐Yoshida, A. Chainani, A. Chainani, Masashi Mizuguchi, Hideyuki Sato and Naoaki Mizuno and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Mariko Kasai

28 papers receiving 594 citations

Author Peers

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

Author Last Decade Papers Cites
Mariko Kasai 288 260 151 111 59 30 603
A. Shibata 141 0.5× 141 0.5× 168 1.1× 83 0.7× 10 0.2× 35 697
Shuhei Hashimoto 219 0.8× 222 0.9× 135 0.9× 14 0.1× 16 0.3× 31 626
Ayumi Endo 327 1.1× 120 0.5× 16 0.1× 21 0.2× 3 0.1× 28 517
Birgit Vogt 83 0.3× 93 0.4× 193 1.3× 75 0.7× 135 2.3× 35 625
Ken Takashima 63 0.2× 38 0.1× 359 2.4× 68 0.6× 13 0.2× 26 685
Norio Shimizu 327 1.1× 247 0.9× 122 0.8× 8 0.1× 39 0.7× 27 604
Yi‐An Chang 137 0.5× 46 0.2× 193 1.3× 2 0.0× 20 0.3× 22 685
Teresa Wu 28 0.1× 74 0.3× 220 1.5× 6 0.1× 90 1.5× 38 569
A. Roy 48 0.2× 13 0.1× 100 0.7× 19 0.2× 28 0.5× 43 636
Hao Wang 9 0.0× 12 0.0× 188 1.2× 110 1.0× 18 0.3× 42 638

Countries citing papers authored by Mariko Kasai

Since Specialization
Citations

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

Fields of papers citing papers by Mariko Kasai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariko Kasai

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