Hiroko Osakada

1.3k citations
28 papers · 978 · h-index 16

Impact in

Papers in

    • Nuclear Structure and Function 15
    • RNA Research and Splicing 12
    • Protist diversity and phylogeny 5
    • Genomics and Chromatin Dynamics 5
    • RNA Interference and Gene Delivery 4
    • RNA modifications and cancer 3
    • Cellular transport and secretion 4

Hiroko Osakada

28 papers receiving 968 citations

Peers

Hiroko Osakada
Comparison fields: 5 of 78
  • Structural Biology 27
  • Cell Biology 231
  • Molecular Biology 834
  • Biophysics 43
  • Microbiology 37
Replace Qing-Tao Shen with:
Qing-Tao Shen China
Rachel Y. Samson United States
Gökhan Tolun United States
Hansjörg Götzke Sweden
A.B. Loveland United States
Jindřiška Fišerová United Kingdom
Neil Bone United Kingdom
Dikla Nachmias Israel
Laurence Haren France
Max E. Wilkinson United States
Hiroko Osakada relative to Qing-Tao Shen China Qing-Tao Shen's profile →
Citations per field
00.5×3.4×
Qing-Tao Shen · 1×
Citations per year

Countries citing papers authored by Hiroko Osakada

Since Specialization
Citations

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

Fields of papers citing papers by Hiroko Osakada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008192
2 2012182
3 201068
4 201157
5 201056
6 201953
7 200748
8 201837
9 202236
10 201532
11 201726
12 202025
13 201824
14 201923
15 201521
16 201718
17 201914
18 201612
19 202210
20 20189

About Hiroko Osakada

Hiroko Osakada is a scholar working on Molecular Biology, Cell Biology, Epidemiology, Genetics and Structural Biology, having authored 28 papers that have together received 978 indexed citations. Recurring topics across this work include Nuclear Structure and Function (15 papers), RNA Research and Splicing (12 papers), Protist diversity and phylogeny (5 papers), Genomics and Chromatin Dynamics (5 papers), RNA Interference and Gene Delivery (4 papers), Cellular transport and secretion (4 papers), Autophagy in Disease and Therapy (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Structural Biology (27 citations), Cell Biology (231 citations), Molecular Biology (834 citations), Biophysics (43 citations) and Microbiology (37 citations). Hiroko Osakada has collaborated with scholars based in Japan, United States and Finland. Frequent co-authors include Tokuko Haraguchi, Yasushi Hiraoka, Tomoko Kojidani, Chie Mori, Takako Koujin, Shouhei Kobayashi, Akitsugu Yamamoto, Haruhiko Asakawa, Takeshi Shimi and Ikuhiko Nakase. Their work appears in journals such as Journal of Cell Science, Genes to Cells, Current Biology, Communications Biology and Scientific Reports.

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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