Uta Maeda
Impact in
- Developmental Neuroscience top 1%
- Anesthesia and Neurotoxicity Research
-
- Intensive Care Unit Cognitive Disorders
Papers in
-
- S100 Proteins and Annexins 1
- Prion Diseases and Protein Misfolding 1
-
- Heart Failure Treatment and Management 2
- Acute Myocardial Infarction Research 1
- Co-authors
- Rudolph E. Tanzi (5 shared papers)Yuanlin Dong (5 shared papers)Zhongcong Xie (5 shared papers)Deborah J. Culley (3 shared papers)Gregory Crosby (2 shared papers)Biing‐Jiun Shen (4 shared papers)Stephen Mallon (2 shared papers)Ernst R. Schwarz (2 shared papers)
- Journals
- Annals of Behavioral Medicine (2 papers)Translational Neurodegeneration (1 paper)Developmental Neuropsychology (1 paper)Anesthesiology (1 paper)The Journals of Gerontology Series A (1 paper)
- Partner nations
- United StatesSingaporeCanada
In The Last Decade
Uta Maeda
10 papers receiving 865 citations
Peers
Comparison fields: 5 of 85
- Developmental Neuroscience 319
- Critical Care and Intensive Care Medicine 342
- Anesthesiology and Pain Medicine 145
- Family Practice 20
- Cardiology and Cardiovascular Medicine 176
Countries citing papers authored by Uta Maeda
This map shows the geographic impact of Uta Maeda'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 Uta Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uta Maeda more than expected).
Fields of papers citing papers by Uta Maeda
This network shows the impact of papers produced by Uta Maeda. 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 Uta Maeda. The network helps show where Uta Maeda may publish in the future.
Co-authors
The 21 scholars most cited alongside Uta Maeda, 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 | 2006 | 249 | |
| 2 | 2007 | 195 | |
| 3 | 2012 | 146 | |
| 4 | 2006 | 101 | |
| 5 | 2010 | 70 | |
| 6 | 2008 | 63 | |
| 7 | 2006 | 47 | |
| 8 | 2018 | 15 | |
| 9 | 2012 | 14 | |
| 10 | 2022 | 1 |
About Uta Maeda
Uta Maeda is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology, Critical Care and Intensive Care Medicine and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 901 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (3 papers), Intensive Care Unit Cognitive Disorders (2 papers), Heart Failure Treatment and Management (2 papers), S100 Proteins and Annexins (1 paper), Prion Diseases and Protein Misfolding (1 paper), Acute Myocardial Infarction Research (1 paper), Reading and Literacy Development (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Developmental Neuroscience (319 citations), Critical Care and Intensive Care Medicine (342 citations), Anesthesiology and Pain Medicine (145 citations), Family Practice (20 citations) and Cardiology and Cardiovascular Medicine (176 citations). Uta Maeda has collaborated with scholars based in United States, Singapore and Canada. Frequent co-authors include Rudolph E. Tanzi, Yuanlin Dong, Zhongcong Xie, Deborah J. Culley, Gregory Crosby, Biing‐Jiun Shen, Stephen Mallon, Ernst R. Schwarz, Weiming Xia and Robert D. Moir. Their work appears in journals such as Annals of Behavioral Medicine, Translational Neurodegeneration, Developmental Neuropsychology, Anesthesiology and The Journals of Gerontology Series A.
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.