Hitoshi Ueda
Impact in
-
- Neurobiology and Insect Physiology Research
- Aging top 5%
Papers in
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- Genomics and Chromatin Dynamics 15
- RNA Research and Splicing 13
- Insect Resistance and Genetics 10
- Developmental Biology and Gene Regulation 8
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- Neurobiology and Insect Physiology Research 17
- Co-authors
- Susumu Hirose (25 shared papers)Carl Wu (4 shared papers)Takehide Murata (4 shared papers)G Lavorgna (2 shared papers)Joachim Clos (1 shared paper)Ken‐Ichi Takemaru (4 shared papers)Susan E. Wilson (1 shared paper)Igor B. Dawid (1 shared paper)
- Journals
- Molecular and Cellular Biology (11 papers)Genes to Cells (4 papers)Development Growth & Differentiation (4 papers)Gene (3 papers)Developmental Biology (3 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Hitoshi Ueda
53 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 94
- Cellular and Molecular Neuroscience 897
- Aging 78
- Genetics 1.1k
- Molecular Biology 1.9k
- Insect Science 338
Countries citing papers authored by Hitoshi Ueda
This map shows the geographic impact of Hitoshi Ueda'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 Hitoshi Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hitoshi Ueda more than expected).
Fields of papers citing papers by Hitoshi Ueda
This network shows the impact of papers produced by Hitoshi Ueda. 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 Hitoshi Ueda. The network helps show where Hitoshi Ueda may publish in the future.
Co-authors
The 25 scholars most cited alongside Hitoshi Ueda, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 357 | |
| 2 | 1991 | 256 | |
| 3 | 1992 | 175 | |
| 4 | 1990 | 169 | |
| 5 | 2000 | 121 | |
| 6 | 1992 | 112 | |
| 7 | 1997 | 106 | |
| 8 | 2003 | 102 | |
| 9 | 1998 | 98 | |
| 10 | 1994 | 93 | |
| 11 | 1991 | 85 | |
| 12 | 2008 | 84 | |
| 13 | 1994 | 79 | |
| 14 | 1996 | 71 | |
| 15 | 1991 | 65 | |
| 16 | 2003 | 64 | |
| 17 | 1990 | 59 | |
| 18 | 1994 | 59 | |
| 19 | 1997 | 56 | |
| 20 | 2015 | 48 |
About Hitoshi Ueda
Hitoshi Ueda is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Biomaterials and Ecology, Evolution, Behavior and Systematics, having authored 54 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (17 papers), Genomics and Chromatin Dynamics (15 papers), RNA Research and Splicing (13 papers), Silk-based biomaterials and applications (11 papers), Insect Resistance and Genetics (10 papers), Developmental Biology and Gene Regulation (8 papers), Animal Behavior and Reproduction (7 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (897 citations), Aging (78 citations), Genetics (1.1k citations), Molecular Biology (1.9k citations) and Insect Science (338 citations). Hitoshi Ueda has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Susumu Hirose, Carl Wu, Takehide Murata, G Lavorgna, Joachim Clos, Ken‐Ichi Takemaru, Susan E. Wilson, Igor B. Dawid, Barbara Walker and Shunro Sonoda. Their work appears in journals such as Molecular and Cellular Biology, Genes to Cells, Development Growth & Differentiation, Gene and Developmental Biology.
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.