Mika Takeshima

25 total papers · 642 total citations
16 papers, 516 citations indexed

About

Mika Takeshima is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Genetics. According to data from OpenAlex, Mika Takeshima has authored 16 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 5 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Mika Takeshima's work include Neurobiology and Insect Physiology Research (5 papers), Insect Utilization and Effects (3 papers) and Insect and Arachnid Ecology and Behavior (3 papers). Mika Takeshima is often cited by papers focused on Neurobiology and Insect Physiology Research (5 papers), Insect Utilization and Effects (3 papers) and Insect and Arachnid Ecology and Behavior (3 papers). Mika Takeshima collaborates with scholars based in Japan, United States and China. Mika Takeshima's co-authors include Masato Asanuma, Ikuko Miyazaki, Taizo Kita, Ko Miyoshi, Shinki Murakami, George C. Wagner, Mari H. Ogihara, Hiroshi Kataoka, Miho Murata and Francisco J. Diaz‐Corrales and has published in prestigious journals such as PLoS ONE, Annals of Neurology and International Journal of Molecular Sciences.

In The Last Decade

Mika Takeshima

16 papers receiving 509 citations

Author Peers

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

Author						Papers	Cites
Mika Takeshima	247	167	99	91	57	16	516
Jéssika Cristina Bridi	172 0.7×	140 0.8×	205 2.1×	46 0.5×	28 0.5×	17	533
Mitsue Ishisaka	116 0.5×	262 1.6×	65 0.7×	57 0.6×	36 0.6×	21	590
Rachel L. Self	174 0.7×	141 0.8×	46 0.5×	89 1.0×	19 0.3×	19	492
Tetsade Piermartiri	191 0.8×	210 1.3×	53 0.5×	110 1.2×	25 0.4×	19	575
Dênis Reis de Assis	65 0.3×	257 1.5×	152 1.5×	44 0.5×	42 0.7×	20	525
Hakeem O. Lawal	278 1.1×	208 1.2×	115 1.2×	20 0.2×	68 1.2×	22	615
Silvia Piccirilli	169 0.7×	221 1.3×	58 0.6×	124 1.4×	21 0.4×	27	585
Martha C. Rivera‐Cervantes	244 1.0×	224 1.3×	39 0.4×	125 1.4×	35 0.6×	24	596
Matthew C. W. Oswald	168 0.7×	284 1.7×	120 1.2×	58 0.6×	33 0.6×	9	534
Daniela Comparsi Laranja	239 1.0×	128 0.8×	35 0.4×	58 0.6×	19 0.3×	12	584

Countries citing papers authored by Mika Takeshima

Since Specialization

Citations

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

Fields of papers citing papers by Mika Takeshima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mika Takeshima

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