Go Hirokawa
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
Papers in
-
- RNA and protein synthesis mechanisms 16
- RNA modifications and cancer 14
- RNA Research and Splicing 3
- Oncology 6
- Peptidase Inhibition and Analysis 6
- Co-authors
- Akira Kaji (16 shared papers)Naoharu Iwai (5 shared papers)Rie Takahashi (4 shared papers)Xu Ji (4 shared papers)Yumiko Hiura (3 shared papers)Hideko Kaji (8 shared papers)Yasue Fukushima (3 shared papers)J.H.D. Cate (2 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)Nucleic Acids Research (2 papers)Journal of Molecular Biology (2 papers)Psychiatry and Clinical Neurosciences (2 papers)Clinical Chemistry (1 paper)
- Partner nations
- United StatesJapanSweden
In The Last Decade
Go Hirokawa
24 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 101
- Cancer Research 415
- Molecular Biology 1.3k
- Genetics 311
- Molecular Medicine 51
- Physiology 45
Countries citing papers authored by Go Hirokawa
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
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-authors
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.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 384 | |
| 2 | 2007 | 296 | |
| 3 | 1999 | 137 | |
| 4 | 2004 | 118 | |
| 5 | 2013 | 91 | |
| 6 | 2002 | 90 | |
| 7 | 2005 | 79 | |
| 8 | Targeted deletion of miR-182, an abundant retinal microRNA. | 2009 | 75 |
| 9 | 2011 | 63 | |
| 10 | 2006 | 48 | |
| 11 | 2008 | 42 | |
| 12 | 2001 | 37 | |
| 13 | 2012 | 36 | |
| 14 | 1998 | 30 | |
| 15 | 2000 | 25 | |
| 16 | 2002 | 24 | |
| 17 | 2004 | 23 | |
| 18 | 2006 | 19 | |
| 19 | 2008 | 17 | |
| 20 | 1998 | 16 |
About Go Hirokawa
Go Hirokawa is a scholar working on Molecular Biology, Oncology, Immunology, Genetics and Endocrine and Autonomic Systems, 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), RNA Research and Splicing (3 papers), Circadian rhythm and melatonin (2 papers) and Thermoregulation and physiological responses (2 papers). The work is most often cited by research in Cancer Research (415 citations), Molecular Biology (1.3k citations), Genetics (311 citations), Molecular Medicine (51 citations) and Physiology (45 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, J.H.D. Cate, B.S. Schuwirth and R.D. Pai. Their work appears in journals such as Biochemical and Biophysical Research Communications, Nucleic Acids Research, Journal of Molecular Biology, Psychiatry and Clinical Neurosciences and Clinical Chemistry.
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.