U Mami
Impact in
-
- Neurogenesis and neuroplasticity mechanisms
-
- Neuroscience and Neuropharmacology Research
- Genetic Neurodegenerative Diseases
- Axon Guidance and Neuronal Signaling
- Photoreceptor and optogenetics research
Papers in
-
- Cell death mechanisms and regulation 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Gene expression and cancer classification 1
- Co-authors
- Toshiyuki Miyashita (5 shared papers)Masao Yamada (3 shared papers)Yoshiaki Shikama (1 shared paper)Satomi Kikuchi (2 shared papers)Aya Yoshida (2 shared papers)Tomomi Shimogori (2 shared papers)Masaharu Ogawa (1 shared paper)Yuji Sugita (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (3 papers)Proceedings of the National Academy of Sciences (1 paper)Experimental Cell Research (1 paper)Analytical Biochemistry (1 paper)Science (1 paper)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
U Mami
9 papers receiving 316 citations
Peers
Comparison fields: 5 of 63
- Developmental Neuroscience 21
- Cellular and Molecular Neuroscience 97
- Molecular Biology 198
- Gastroenterology 12
- Immunology 46
Countries citing papers authored by U Mami
This map shows the geographic impact of U Mami'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 U Mami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites U Mami more than expected).
Fields of papers citing papers by U Mami
This network shows the impact of papers produced by U Mami. 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 U Mami. The network helps show where U Mami may publish in the future.
Co-authors
The 25 scholars most cited alongside U Mami, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 82 | |
| 2 | 2002 | 69 | |
| 3 | 2001 | 62 | |
| 4 | 1999 | 38 | |
| 5 | 2021 | 22 | |
| 6 | 1997 | 19 | |
| 7 | 2006 | 18 | |
| 8 | 2006 | 13 | |
| 9 | 2003 | 1 |
About U Mami
U Mami is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Immunology, Surgery and Neurology, having authored 9 papers that have together received 324 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Acute Myeloid Leukemia Research (1 paper), NF-κB Signaling Pathways (1 paper), Gene expression and cancer classification (1 paper), Neurological disorders and treatments (1 paper) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Developmental Neuroscience (21 citations), Cellular and Molecular Neuroscience (97 citations), Molecular Biology (198 citations), Gastroenterology (12 citations) and Immunology (46 citations). U Mami has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Toshiyuki Miyashita, Masao Yamada, Yoshiaki Shikama, Satomi Kikuchi, Aya Yoshida, Tomomi Shimogori, Masaharu Ogawa, Yuji Sugita, Tadahilo Oshida and John C. Reed. Their work appears in journals such as Biochemical and Biophysical Research Communications, Proceedings of the National Academy of Sciences, Experimental Cell Research, Analytical Biochemistry and Science.
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.