Hitomi Aoki
Impact in
- Developmental Neuroscience top 5%
- Cell Biology top 5%
- melanin and skin pigmentation
Papers in
-
- Pluripotent Stem Cells Research 16
- Retinal Development and Disorders 10
- CRISPR and Genetic Engineering 9
- Developmental Biology and Gene Regulation 8
- Cell Biology 27
- melanin and skin pigmentation 23
- Co-authors
- Takahiro Kunisada (71 shared papers)Tsutomu Motohashi (20 shared papers)Akira Hara (33 shared papers)Atsushi Suetsugu (11 shared papers)Hisataka Moriwaki (5 shared papers)Masahito Nagaki (2 shared papers)Yasuhiro Yamada (16 shared papers)Masayuki Niwa (10 shared papers)
- Journals
- Developmental Dynamics (5 papers)Journal of Investigative Dermatology (4 papers)Anticancer Research (4 papers)Scientific Reports (3 papers)Pigment Cell & Melanoma Research (3 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Hitomi Aoki
89 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 111
- Developmental Neuroscience 115
- Cell Biology 395
- Urology 154
- Genetics 250
- Oncology 636
Countries citing papers authored by Hitomi Aoki
This map shows the geographic impact of Hitomi Aoki'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 Hitomi Aoki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hitomi Aoki more than expected).
Fields of papers citing papers by Hitomi Aoki
This network shows the impact of papers produced by Hitomi Aoki. 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 Hitomi Aoki. The network helps show where Hitomi Aoki may publish in the future.
Co-authors
The 25 scholars most cited alongside Hitomi Aoki, 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 496 | |
| 2 | 2010 | 150 | |
| 3 | 2008 | 132 | |
| 4 | 2014 | 81 | |
| 5 | 2009 | 72 | |
| 6 | 2006 | 60 | |
| 7 | 2007 | 57 | |
| 8 | 2012 | 55 | |
| 9 | 2007 | 52 | |
| 10 | 2012 | 48 | |
| 11 | 2010 | 46 | |
| 12 | 2016 | 45 | |
| 13 | 2006 | 44 | |
| 14 | 2005 | 44 | |
| 15 | 2020 | 36 | |
| 16 | 2009 | 36 | |
| 17 | 2008 | 34 | |
| 18 | 2005 | 33 | |
| 19 | 2013 | 33 | |
| 20 | 2013 | 31 |
About Hitomi Aoki
Hitomi Aoki is a scholar working on Molecular Biology, Cell Biology, Surgery, Cancer Research and Dermatology, having authored 90 papers that have together received 2.2k indexed citations. Recurring topics across this work include melanin and skin pigmentation (23 papers), Pluripotent Stem Cells Research (16 papers), Retinal Development and Disorders (10 papers), Hair Growth and Disorders (10 papers), CRISPR and Genetic Engineering (9 papers), Cancer Research and Treatments (8 papers), Skin Protection and Aging (8 papers) and Developmental Biology and Gene Regulation (8 papers). The work is most often cited by research in Developmental Neuroscience (115 citations), Cell Biology (395 citations), Urology (154 citations), Genetics (250 citations) and Oncology (636 citations). Hitomi Aoki has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Takahiro Kunisada, Tsutomu Motohashi, Akira Hara, Atsushi Suetsugu, Hisataka Moriwaki, Masahito Nagaki, Yasuhiro Yamada, Masayuki Niwa, Naoko Yoshimura and Kenichi Tezuka. Their work appears in journals such as Developmental Dynamics, Journal of Investigative Dermatology, Anticancer Research, Scientific Reports and Pigment Cell & Melanoma Research.
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.