Shuichi Ueda
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 1%
- Genetics top 5%
- Neurology top 2%
- Oncology top 10%
- Co-authors
- Atsuko Ishizuya‐OkaYutaka SanoMitsuhiro KawataYun‐Bo ShiKanji YoshimotoAtsushi IwataShin‐ichi SakakibaraMiki Jishage
- Topics
- Neuroscience and Neuropharmacology Research (32 papers)Neurotransmitter Receptor Influence on Behavior (24 papers)Hemoglobinopathies and Related Disorders (22 papers)
- Cited by
- Cellular and Molecular NeuroscienceDevelopmental NeuroscienceEndocrine and Autonomic Systems
- Partner nations
- JapanUnited StatesAustria
In The Last Decade
Shuichi Ueda
200 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 129
- Molecular Biology 1.5k
- Cellular and Molecular Neuroscience 1.2k
- Genetics 690
- Neurology 485
- Oncology 408
Countries citing papers authored by Shuichi Ueda
This map shows the geographic impact of Shuichi 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 Shuichi Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuichi Ueda more than expected).
Fields of papers citing papers by Shuichi Ueda
This network shows the impact of papers produced by Shuichi 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 Shuichi Ueda. The network helps show where Shuichi Ueda may publish in the future.
Co-authorship network of co-authors of Shuichi Ueda
This figure shows the co-authorship network connecting the top 25 collaborators of Shuichi Ueda. A scholar is included among the top collaborators of Shuichi Ueda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shuichi Ueda. Shuichi Ueda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 5 | |
| 4 | 7 | |
| 5 | 7 | |
| 6 | 6 | |
| 7 | A Case of Acute Pancreatitis Associated with a Severe Acute HAV Infection and Compensated Liver Cirrhosis Type B | 1 |
| 8 | 97 | |
| 9 | 20 | |
| 10 | 19 | |
| 11 | 60 | |
| 12 | 9 | |
| 13 | 12 | |
| 14 | 10 | |
| 15 | 3 | |
| 16 | 10 | |
| 17 | 21 | |
| 18 | 15 | |
| 19 | 25 | |
| 20 | Hemoglobin Sealy (α247Hisβ2): a new variant in a Jewish family. | 2 |
About Shuichi Ueda
Shuichi Ueda is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Genetics, having authored 203 papers that have together received 4.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (32 papers), Neurotransmitter Receptor Influence on Behavior (24 papers) and Hemoglobinopathies and Related Disorders (22 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Developmental Neuroscience (199 citations) and Endocrine and Autonomic Systems (321 citations). Shuichi Ueda has collaborated with scholars based in Japan, United States and Austria. Frequent co-authors include Atsuko Ishizuya‐Oka, Yutaka Sano, Mitsuhiro Kawata, Yun‐Bo Shi, Kanji Yoshimoto, Atsushi Iwata, Shin‐ichi Sakakibara, Miki Jishage, Akira Ishihama and Mayumi Ono. Their work appears in journals such as The Journal of Cell Biology, PLoS ONE and Cancer 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.