Ryoko Harada

1.0k citations
25 papers · 886 · h-index 16

Impact in

Papers in

    • Genomics and Chromatin Dynamics 5
    • Cancer-related gene regulation 4
    • Epigenetics and DNA Methylation 4
    • DNA Repair Mechanisms 3
    • Renal and related cancers 2
    • Cancer-related Molecular Pathways 2

Ryoko Harada

24 papers receiving 878 citations

Peers

Ryoko Harada
Comparison fields: 5 of 83
  • Immunology 228
  • Hematology 87
  • Cancer Research 104
  • Molecular Biology 499
  • Cell Biology 73
Replace Diana Saleiro with:
Diana Saleiro United States
Mattia Frontini United Kingdom
Katherine A. Felts United States
Laura Rossi Italy
Monique Smeets Australia
Yasunori Yokota Japan
Walter Fiers Belgium
Shrimati Datta United States
Jaira F. de Vasconcellos United States
Stuart A. Berger Canada
Ryoko Harada relative to Diana Saleiro United States Diana Saleiro's profile →
Citations per field
00.5×1.7×
Diana Saleiro · 1×
Citations per year

Countries citing papers authored by Ryoko Harada

Since Specialization
Citations

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

Fields of papers citing papers by Ryoko Harada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989178
2 1996112
3 1995104
4 201265
5 200661
6 200951
7 201243
8 200843
9 200836
10 201327
11 198926
12 200823
13 201323
14 200917
15 199016
16 199016
17 201014
18 200811
19 19967
20 20114

About Ryoko Harada

Ryoko Harada is a scholar working on Molecular Biology, Oncology, Cell Biology, Genetics and Cancer Research, having authored 25 papers that have together received 886 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), Cancer-related gene regulation (4 papers), Epigenetics and DNA Methylation (4 papers), DNA Repair Mechanisms (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), Microtubule and mitosis dynamics (2 papers), Renal and related cancers (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Immunology (228 citations), Hematology (87 citations), Cancer Research (104 citations), Molecular Biology (499 citations) and Cell Biology (73 citations). Ryoko Harada has collaborated with scholars based in Canada, Japan and United States. Frequent co-authors include Alain Nepveu, Hidechika Okada, Noriko Okada, Teizo Fujita, Ginette Bérubé, Charles Vadnais, Owen J. Tamplin, F. Mailly, S J Phillips and Laurent Sansregret. Their work appears in journals such as Molecular and Cellular Biology, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Mutation Research/Genetic Toxicology and Environmental Mutagenesis and The Journal of Biochemistry.

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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