Naoki Irie
Impact in
Papers in ⓘ
-
- Developmental Biology and Gene Regulation 7
- Genomics and Phylogenetic Studies 5
- Genetics 15
- Genetic diversity and population structure 6
- Co-authors
- Shigeru Kuratani (9 shared papers)Atsuko Sehara‐Fujisawa (2 shared papers)Masahiro Uesaka (7 shared papers)Hiroyuki Takeda (6 shared papers)Toshihiro Muraji (3 shared papers)Masamitsu Tanaka (5 shared papers)Hirotaka Terai (5 shared papers)Nobuyuki Yoshikawa (5 shared papers)
- Journals
- Journal of Experimental Zoology Part B Molecular and Developmental Evolution (4 papers)Zoological Letters (3 papers)Developmental Biology (3 papers)Nature Communications (2 papers)Physica C Superconductivity (2 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Naoki Irie
45 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 119
- Aging 59
- Genetics 265
- Paleontology 65
- Molecular Biology 595
- Hardware and Architecture 50
Countries citing papers authored by Naoki Irie
This map shows the geographic impact of Naoki Irie'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 Naoki Irie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Irie more than expected).
Fields of papers citing papers by Naoki Irie
This network shows the impact of papers produced by Naoki Irie. 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 Naoki Irie. The network helps show where Naoki Irie may publish in the future.
Co-authors
The 25 scholars most cited alongside Naoki Irie, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 210 | |
| 2 | 2007 | 153 | |
| 3 | 2014 | 100 | |
| 4 | 2007 | 81 | |
| 5 | 2003 | 76 | |
| 6 | 2017 | 68 | |
| 7 | 2008 | 63 | |
| 8 | 2017 | 62 | |
| 9 | 2002 | 40 | |
| 10 | 1989 | 37 | |
| 11 | 2009 | 28 | |
| 12 | 2015 | 26 | |
| 13 | 2007 | 24 | |
| 14 | 2018 | 22 | |
| 15 | 2019 | 21 | |
| 16 | 2018 | 19 | |
| 17 | 2017 | 16 | |
| 18 | 2014 | 16 | |
| 19 | 2021 | 15 | |
| 20 | 2009 | 14 |
About Naoki Irie
Naoki Irie is a scholar working on Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health, Immunology and Paleontology, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (7 papers), Genetic diversity and population structure (6 papers), Prenatal Screening and Diagnostics (6 papers), Reproductive System and Pregnancy (6 papers), Genomics and Phylogenetic Studies (5 papers), Quantum and electron transport phenomena (5 papers), Physics of Superconductivity and Magnetism (4 papers) and Pregnancy and preeclampsia studies (4 papers). The work is most often cited by research in Aging (59 citations), Genetics (265 citations), Paleontology (65 citations), Molecular Biology (595 citations) and Hardware and Architecture (50 citations). Naoki Irie has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Shigeru Kuratani, Atsuko Sehara‐Fujisawa, Masahiro Uesaka, Hiroyuki Takeda, Toshihiro Muraji, Masamitsu Tanaka, Hirotaka Terai, Nobuyuki Yoshikawa, Akira Fujimaki and Shunsuke Tomita. Their work appears in journals such as Journal of Experimental Zoology Part B Molecular and Developmental Evolution, Zoological Letters, Developmental Biology, Nature Communications and Physica C Superconductivity.
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.