Hitoshi Ueda
Impact in
-
- Neurobiology and Insect Physiology Research
- Aging top 5%
Papers in
-
- Genomics and Chromatin Dynamics 13
- RNA Research and Splicing 12
- Insect Resistance and Genetics 12
- Developmental Biology and Gene Regulation 7
-
- 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)Barbara Walker (1 shared paper)Susan E. Wilson (1 shared paper)
- Journals
- Molecular and Cellular Biology (11 papers)Development Growth & Differentiation (4 papers)Gene (3 papers)Developmental Biology (3 papers)Genes & Development (3 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Hitoshi Ueda
53 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 97
- Cellular and Molecular Neuroscience 911
- Aging 78
- Genetics 1.1k
- Insect Science 368
- Molecular Biology 1.9k
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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 357 | |
| 2 | 1991 | 255 | |
| 3 | 1992 | 175 | |
| 4 | 1990 | 167 | |
| 5 | 2000 | 119 | |
| 6 | 1992 | 112 | |
| 7 | 1997 | 106 | |
| 8 | 2003 | 101 | |
| 9 | 1998 | 98 | |
| 10 | 1994 | 93 | |
| 11 | 1991 | 85 | |
| 12 | 2008 | 83 | |
| 13 | 1994 | 79 | |
| 14 | 1996 | 70 | |
| 15 | 1991 | 65 | |
| 16 | 2003 | 63 | |
| 17 | 1990 | 59 | |
| 18 | 1994 | 59 | |
| 19 | 1997 | 55 | |
| 20 | 2015 | 47 |
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 53 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (17 papers), Genomics and Chromatin Dynamics (13 papers), RNA Research and Splicing (12 papers), Insect Resistance and Genetics (12 papers), Silk-based biomaterials and applications (11 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers), Animal Behavior and Reproduction (7 papers) and Developmental Biology and Gene Regulation (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (911 citations), Aging (78 citations), Genetics (1.1k citations), Insect Science (368 citations) and Molecular Biology (1.9k 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, Barbara Walker, Susan E. Wilson, Igor B. Dawid and Vincenzo Zimarino. Their work appears in journals such as Molecular and Cellular Biology, Development Growth & Differentiation, Gene, Developmental Biology 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.