Mie Ikeda

1.4k total citations · 1 hit paper
5 papers, 465 citations indexed

About

Mie Ikeda is a scholar working on Public Health, Environmental and Occupational Health, Pharmacology and Computational Theory and Mathematics. According to data from OpenAlex, Mie Ikeda has authored 5 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Public Health, Environmental and Occupational Health, 3 papers in Pharmacology and 2 papers in Computational Theory and Mathematics. Recurrent topics in Mie Ikeda's work include Malaria Research and Control (5 papers), Mosquito-borne diseases and control (4 papers) and Drug-Induced Hepatotoxicity and Protection (3 papers). Mie Ikeda is often cited by papers focused on Malaria Research and Control (5 papers), Mosquito-borne diseases and control (4 papers) and Drug-Induced Hepatotoxicity and Protection (3 papers). Mie Ikeda collaborates with scholars based in Japan and Uganda. Mie Ikeda's co-authors include Toshihiro Mita, Shin‐Ichiro Tachibana, Toshihiro Horii, Naoyuki Fukuda, Masato Yamauchi, Betty Balikagala, Eisaku Kimura, Nirianne Palacpac, Emmanuel Igwaro Odongo-Aginya and Denis A. Anywar and has published in prestigious journals such as New England Journal of Medicine, Journal of Antimicrobial Chemotherapy and Frontiers in Cellular and Infection Microbiology.

In The Last Decade

Mie Ikeda

5 papers receiving 461 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Evidence of Artemisinin-Resistant Malaria in Africa

2021 432 citations Betty Balikagala, Naoyuki Fukuda et al. New England Journal of Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mie Ikeda Japan	4	395	138	84	61	57	5	465
Naoyuki Fukuda Japan	4	381 1.0×	132 1.0×	89 1.1×	57 0.9×	63 1.1×	9	463
Denis A. Anywar Uganda	3	369 0.9×	124 0.9×	86 1.0×	54 0.9×	58 1.0×	5	458
Eisaku Kimura Uganda	2	382 1.0×	134 1.0×	83 1.0×	58 1.0×	55 1.0×	4	453
Noella Umulisa United States	5	528 1.3×	179 1.3×	69 0.8×	89 1.5×	63 1.1×	9	580
Atthanee Jeeyapant United Kingdom	10	390 1.0×	163 1.2×	59 0.7×	65 1.1×	53 0.9×	10	515
Monique Murindahabi Rwanda	4	415 1.1×	174 1.3×	60 0.7×	61 1.0×	55 1.0×	6	459
Emmanuel Igwaro Odongo-Aginya Uganda	7	399 1.0×	127 0.9×	85 1.0×	97 1.6×	70 1.2×	13	524
Marylin Madamet France	14	416 1.1×	163 1.2×	75 0.9×	91 1.5×	77 1.4×	32	542
Tharcisse Munyaneza Rwanda	7	430 1.1×	177 1.3×	61 0.7×	97 1.6×	60 1.1×	9	505
Joerg J. Moehrle Switzerland	12	381 1.0×	169 1.2×	78 0.9×	52 0.9×	65 1.1×	24	489

Countries citing papers authored by Mie Ikeda

Since Specialization

Citations

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

Fields of papers citing papers by Mie Ikeda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mie Ikeda

This figure shows the co-authorship network connecting the top 25 collaborators of Mie Ikeda. A scholar is included among the top collaborators of Mie Ikeda 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 Mie Ikeda. Mie Ikeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Fukuda, Naoyuki, Naoko Yoshida, Betty Balikagala, et al.. (2024). Detection of drug-resistant malaria in resource-limited settings: efficient and high-throughput surveillance of artemisinin and partner drug resistance. Journal of Antimicrobial Chemotherapy. 79(6). 1418–1422. 2 indexed citations

2.

Ikeda, Mie, Makoto Hirai, Shin‐Ichiro Tachibana, Toshiyuki Mori, & Toshihiro Mita. (2021). Isolation of Mutants With Reduced Susceptibility to Piperaquine From a Mutator of the Rodent Malaria Parasite Plasmodium berghei. Frontiers in Cellular and Infection Microbiology. 11. 672691–672691. 3 indexed citations

3.

Balikagala, Betty, Naoyuki Fukuda, Mie Ikeda, et al.. (2021). Evidence of Artemisinin-Resistant Malaria in Africa. New England Journal of Medicine. 385(13). 1163–1171. 432 indexed citations breakdown →

4.

Sekihara, Makoto, Shin‐Ichiro Tachibana, Masato Yamauchi, et al.. (2018). Lack of significant recovery of chloroquine sensitivity in Plasmodium falciparum parasites following discontinuance of chloroquine use in Papua New Guinea. Malaria Journal. 17(1). 434–434. 9 indexed citations

5.

Balikagala, Betty, Toshihiro Mita, Mie Ikeda, et al.. (2017). Absence of in vivo selection for K13 mutations after artemether–lumefantrine treatment in Uganda. Malaria Journal. 16(1). 23–23. 19 indexed citations

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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