Go Hirokawa

2.1k citations
25 papers · 1.7k indexed · h-index 18

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • RNA Research and Splicing
    • Extracellular vesicles in disease

Papers in

Go Hirokawa

24 papers receiving 1.6k citations

Peers

Go Hirokawa
Comparison fields: 5 of 106
  • Cancer Research 455
  • Molecular Biology 1.4k
  • Genetics 314
  • Molecular Medicine 52
  • Physiology 46
Replace Silvana van Koningsbruggen with:
Silvana van Koningsbruggen Netherlands
Peter Tessarz Germany
Lijie Sun China
Dmitry Temiakov United States
Yanliang Zhang China
Edio Maldonado Chile
Alex Rolfe United States
Didier Busso France
Anja Mezger Sweden
M Zollinger Canada
Go Hirokawa relative to Silvana van Koningsbruggen Netherlands Silvana van Koningsbruggen's profile →
Citations per field
00.5×3.0×
Silvana van Koningsbruggen · 1×
Citations per year

Countries citing papers authored by Go Hirokawa

Since Specialization
Citations

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

Fields of papers citing papers by Go Hirokawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201236
2 201162
3 2009382
4
Targeted deletion of miR-182, an abundant retinal microRNA.
200975
5 200817
6 200841
7 2007291
8 20074
9 200712
10 200648
11 200619
12 200579
13 200423
14 200290
15 200224
16 200136
17 200025
18 19995
19 199830
20 199810

About Go Hirokawa

Go Hirokawa is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Immunology, Physiology and Oncology, having authored 25 papers that have together received 1.7k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (16 papers), RNA modifications and cancer (14 papers), Peptidase Inhibition and Analysis (6 papers), Toxin Mechanisms and Immunotoxins (4 papers), Bacterial Genetics and Biotechnology (3 papers), Circular RNAs in diseases (3 papers), MicroRNA in disease regulation (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Cancer Research (455 citations), Molecular Biology (1.4k citations), Genetics (314 citations), Molecular Medicine (52 citations) and Physiology (46 citations). Go Hirokawa has collaborated with scholars based in United States, Japan and Sweden. Frequent co-authors include Akira Kaji, Naoharu Iwai, Rie Takahashi, Xu Ji, Yumiko Hiura, Hideko Kaji, Yasue Fukushima, R.D. Pai, Wen Zhang and B.S. Schuwirth. Their work appears in journals such as Journal of Molecular Biology, Psychiatry and Clinical Neurosciences, Biochemical and Biophysical Research Communications, Nucleic Acids Research and Molecular Microbiology.

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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