Mayuko Shimada

1.2k citations
19 papers · 309 · h-index 8

Impact in

  • Parasitology top 10%
    • Parasites and Host Interactions
    • DNA Repair Mechanisms
    • CRISPR and Genetic Engineering
    • Epigenetics and DNA Methylation

Papers in

    • DNA Repair Mechanisms 5
    • Genomics and Chromatin Dynamics 3
    • CRISPR and Genetic Engineering 3
    • RNA regulation and disease 2
    • Neurogenetic and Muscular Disorders Research 2

Mayuko Shimada

18 papers receiving 308 citations

Peers

Mayuko Shimada
Comparison fields: 5 of 58
  • Parasitology 35
  • Molecular Biology 207
  • Immunology 44
  • Cancer Research 31
  • Genetics 52
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Christopher Botka United States
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Suk Min Jang Switzerland
Adriana Zakrzewska United States
Mona Abed Israel
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Citations per field
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Citations per year

Countries citing papers authored by Mayuko Shimada

Since Specialization
Citations

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

Fields of papers citing papers by Mayuko Shimada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mayuko Shimada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mayuko Shimada Line = papers co-authored together Mayuko Shimada links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2013112
2 200050
3 201537
4 201431
5 202428
6 200913
7 20247
8 20237
9 20237
10 20244
11 19893
12 20082
13 20222
14 19852
15 20251
16 20251
17
[2,450MHz hyperthermia for malignant stenosis of the bile duct--development of a new biliary drainage tube united with a thermocouple].
19901
18 19871
19 20250

About Mayuko Shimada

Mayuko Shimada is a scholar working on Molecular Biology, Genetics, Genetics, Condensed Matter Physics and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 309 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), Genomics and Chromatin Dynamics (3 papers), CRISPR and Genetic Engineering (3 papers), Physics of Superconductivity and Magnetism (2 papers), Amyotrophic Lateral Sclerosis Research (2 papers), PARP inhibition in cancer therapy (2 papers), RNA regulation and disease (2 papers) and Neurogenetic and Muscular Disorders Research (2 papers). The work is most often cited by research in Parasitology (35 citations), Molecular Biology (207 citations), Immunology (44 citations), Cancer Research (31 citations) and Genetics (52 citations). Mayuko Shimada has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Tomoo Ogi, Yuka Nakazawa, Lisa Woodbine, Penny A. Jeggo, Jessica A. Neal, E. Graham Davies, William B. Dobyns, Katheryn Meek, Helen G. Coleman and Yasuyoshi Oka. Their work appears in journals such as Journal of Clinical Investigation, iScience, Acta Neuropathologica Communications, Frontiers in Pediatrics and Journal of Allergy and Clinical Immunology.

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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