Yuka Machida

1.9k citations
15 papers · 1.2k indexed · h-index 12
    • DNA Repair Mechanisms 11
    • Ubiquitin and proteasome pathways 5
    • Genomics and Chromatin Dynamics 4
    • CRISPR and Genetic Engineering 3
    • Microtubule and mitosis dynamics 5
  • Oncology top 10%
  • Genetics top 10%
    • Virus-based gene therapy research 1
    • Herpesvirus Infections and Treatments 1
    • Bacteriophages and microbial interactions 1

Yuka Machida

13 papers receiving 1.2k citations

Peers

Yuka Machida
Comparison fields: 5 of 65
  • Molecular Biology 1.1k
  • Cell Biology 243
  • Cancer Research 167
  • Oncology 296
  • Genetics 188
Replace Marie‐Jeanne Pillaire with:
Marie‐Jeanne Pillaire France
Simone Weidlich United Kingdom
Birgit Otzen Petersen Italy
Amélie Rodrigue Canada
Willem den Besten United States
Katarzyna Oktaba Germany
Zhen-Qiang Pan United States
Kyoko Imoto United States
A. Lehmann United Kingdom
Assaf C. Bester Israel
Yuka Machida relative to Marie‐Jeanne Pillaire France Marie‐Jeanne Pillaire's profile →
Citations per field
00.5×1.5×2.3×
Marie‐Jeanne Pillaire · 1×
Citations per year

Countries citing papers authored by Yuka Machida

Since Specialization
Citations

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

Fields of papers citing papers by Yuka Machida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Yuka Machida, 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 Yuka Machida Line = papers co-authored together Yuka Machida links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 20250
2 20250
3 20246
4 202080
5 201796
6 201488
7 201464
8 201261
9 201251
10 201019
11 2009197
12 200614
13 2006223
14 2004243
15 198142

About Yuka Machida

Yuka Machida is a scholar working on Cell Biology, Molecular Biology and Genetics, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (11 papers), Ubiquitin and proteasome pathways (5 papers), Microtubule and mitosis dynamics (5 papers), Genomics and Chromatin Dynamics (4 papers), CRISPR and Genetic Engineering (3 papers), Virus-based gene therapy research (1 paper), Herpesvirus Infections and Treatments (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Molecular Biology (1.1k citations), Cell Biology (243 citations) and Cancer Research (167 citations). Yuka Machida has collaborated with scholars based in United States, Ukraine and Germany. Frequent co-authors include Yuichi Machida, Anindya Dutta, James A. Wohlschlegel, Ajay A. Vashisht, Myoung Shin Kim, Alan D. D’Andrea, Yuefeng Chen, Gary M. Kupfer, Allan M. Gurtan and Karen A. Griffin. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

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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