N. Kudo
- Cell Biology top 1%
- Microtubule and mitosis dynamics 7
- Molecular Biology top 2%
- Genomics and Chromatin Dynamics 8
- Nuclear Structure and Function 6
- RNA Research and Splicing 6
- Aging top 5%
- Cancer Research top 5%
- Neurology top 5%
- Vestibular and auditory disorders 6
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- Neuroscience of respiration and sleep 6
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- Reproductive Biology and Fertility 5
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- Prenatal Screening and Diagnostics 5
- Co-authors
- Minoru YoshidaSueharu HorinouchiErwin SchreinerBarbara WolffKim NasmythMitsuhiro YanagidaDaisuke FujiwaraNobuaki Matsumori
- Cited by
- Cell BiologyMolecular BiologyAging
- Journals
- Brain Research (5 papers)The Journal of Cell Biology (3 papers)The Journal of Physiology (3 papers)
- Partner nations
- JapanUnited KingdomAustria
In The Last Decade
N. Kudo
41 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Cell Biology 1.0k
- Molecular Biology 3.1k
- Aging 57
- Cancer Research 397
- Neurology 214
Countries citing papers authored by N. Kudo
This map shows the geographic impact of N. Kudo'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 N. Kudo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Kudo more than expected).
Fields of papers citing papers by N. Kudo
This network shows the impact of papers produced by N. Kudo. 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 N. Kudo. The network helps show where N. Kudo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside N. Kudo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 37 | |
| 2 | 2014 | 30 | |
| 3 | 2013 | 19 | |
| 4 | 2012 | 3 | |
| 5 | 2010 | 199 | |
| 6 | 2009 | 177 | |
| 7 | 2006 | 184 | |
| 8 | 2005 | 294 | |
| 9 | 2004 | 82 | |
| 10 | 2002 | 63 | |
| 11 | 2000 | 90 | |
| 12 | 1999 | 5 | |
| 13 | 1999 | 120 | |
| 14 | [Leptomycin: a specific inhibitor of protein nuclear export]. | 1999 | 6 |
| 15 | Leptomycin B Inhibition of Signal-Mediated Nuclear Export by Direct Binding to CRM1breakdown → | 1998 | 714 |
| 16 | 1997 | 179 | |
| 17 | 1997 | 4 | |
| 18 | 1976 | 27 | |
| 19 | 1975 | 46 | |
| 20 | The effect of long-term use of intrauterine devices. | 1969 | 4 |
About N. Kudo
N. Kudo is a scholar working on Endocrine and Autonomic Systems, Neurology, Cell Biology, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 41 papers that have together received 4.3k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (8 papers), Microtubule and mitosis dynamics (7 papers), Nuclear Structure and Function (6 papers), Neuroscience of respiration and sleep (6 papers), Vestibular and auditory disorders (6 papers), RNA Research and Splicing (6 papers), Reproductive Biology and Fertility (5 papers) and Prenatal Screening and Diagnostics (5 papers). The work is most often cited by research in Cell Biology (1.0k citations), Molecular Biology (3.1k citations), Aging (57 citations), Cancer Research (397 citations) and Neurology (214 citations). N. Kudo has collaborated with scholars based in Japan, United Kingdom and Austria. Frequent co-authors include Minoru Yoshida, Sueharu Horinouchi, Erwin Schreiner, Barbara Wolff, Kim Nasmyth, Mitsuhiro Yanagida, Daisuke Fujiwara, Nobuaki Matsumori, Toshihiro Sekimoto and Yoshihiro Yoneda. Their work appears in journals such as Brain Research, The Journal of Cell Biology, The Journal of Physiology, Journal of Biological Chemistry and Genes & Development.
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.