Mika Kawamura

28 total papers · 634 total citations
10 papers, 542 citations indexed

About

Mika Kawamura is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Mika Kawamura has authored 10 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Physiology. Recurrent topics in Mika Kawamura's work include Bacterial Infections and Vaccines (2 papers), Influenza Virus Research Studies (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Mika Kawamura is often cited by papers focused on Bacterial Infections and Vaccines (2 papers), Influenza Virus Research Studies (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Mika Kawamura collaborates with scholars based in Japan and United States. Mika Kawamura's co-authors include Shinya Watanabe, Akira Nishikawa, Yuka Yanagisawa, Emi Ito, Reiko Honma, Kentaro Semba, Sakura Azuma, Jun‐ichiro Inoue, Noritaka Yamaguchi and Naoto Oku and has published in prestigious journals such as Cancer Research, Biochemical and Biophysical Research Communications and Gene.

In The Last Decade

Mika Kawamura

10 papers receiving 536 citations

Author Peers

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

Author						Papers	Cites
Mika Kawamura	313	133	130	70	68	10	542
China N. Byrns	210 0.7×	109 0.8×	100 0.8×	122 1.7×	39 0.6×	11	513
Jeff W. Hill	380 1.2×	71 0.5×	133 1.0×	19 0.3×	31 0.5×	13	585
Tetyana V. Pedchenko	254 0.8×	40 0.3×	93 0.7×	59 0.8×	101 1.5×	14	558
Tatsuya Itoh	316 1.0×	54 0.4×	74 0.6×	34 0.5×	94 1.4×	14	507
Jason Chiu	285 0.9×	177 1.3×	30 0.2×	33 0.5×	37 0.5×	13	599
Richard Selinfreund	408 1.3×	31 0.2×	63 0.5×	39 0.6×	64 0.9×	12	541
Laura L. Wootton	386 1.2×	62 0.5×	69 0.5×	37 0.5×	40 0.6×	10	597
Hongyi Xing	136 0.4×	89 0.7×	39 0.3×	23 0.3×	100 1.5×	13	507
H. Misawa	369 1.2×	57 0.4×	50 0.4×	48 0.7×	16 0.2×	17	616
Andrea Watters	249 0.8×	113 0.8×	133 1.0×	13 0.2×	32 0.5×	13	525

Countries citing papers authored by Mika Kawamura

Since Specialization

Citations

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

Fields of papers citing papers by Mika Kawamura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mika Kawamura

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