Mami Ikenoya

10 total papers · 425 total citations
6 papers, 359 citations indexed

About

Mami Ikenoya is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Mami Ikenoya has authored 6 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 1 paper in Surgery and 1 paper in Genetics. Recurrent topics in Mami Ikenoya's work include Protein Kinase Regulation and GTPase Signaling (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). Mami Ikenoya is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). Mami Ikenoya collaborates with scholars based in Japan and France. Mami Ikenoya's co-authors include Hiroyoshi Hidaka, Yasuharu Sasaki, Takamitsu Hosoya, Naoki Yamamoto, Masaaki Suzuki, Hideyuki Kobayashi, Fumiyasu Sato, Kimiyuki Shibuya, Hideki Tanaka and Fumitaka Katoh and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Neurochemistry and Behavioural Brain Research.

In The Last Decade

Mami Ikenoya

6 papers receiving 351 citations

Author Peers

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

Author						Papers	Cites
Mami Ikenoya	238	88	79	46	36	6	359
Roxana Samimi	179 0.8×	50 0.6×	41 0.5×	59 1.3×	57 1.6×	6	365
Tomoya Adachi	168 0.7×	56 0.6×	44 0.6×	20 0.4×	24 0.7×	7	366
T. E. Machen	223 0.9×	51 0.6×	53 0.7×	31 0.7×	44 1.2×	8	383
Takayo Ohto	203 0.9×	55 0.6×	43 0.5×	30 0.7×	25 0.7×	8	403
Gerry Steenbergen	174 0.7×	30 0.3×	116 1.5×	57 1.2×	53 1.5×	6	332
K. Henry	220 0.9×	27 0.3×	60 0.8×	29 0.6×	33 0.9×	6	389
Sean P. Collins	270 1.1×	39 0.4×	49 0.6×	46 1.0×	41 1.1×	6	395
Rebecca Drapp	236 1.0×	39 0.4×	51 0.6×	59 1.3×	26 0.7×	10	401
Stephanie R Murphy	209 0.9×	99 1.1×	88 1.1×	17 0.4×	19 0.5×	9	368
Hong Mei	146 0.6×	57 0.6×	20 0.3×	38 0.8×	61 1.7×	10	314

Countries citing papers authored by Mami Ikenoya

Since Specialization

Citations

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

Fields of papers citing papers by Mami Ikenoya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mami Ikenoya

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