Uta Maeda

1.1k total citations
9 papers, 862 citations indexed

About

Uta Maeda is a scholar working on Physiology, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Uta Maeda has authored 9 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 3 papers in Molecular Biology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Uta Maeda's work include Alzheimer's disease research and treatments (4 papers), Heart Failure Treatment and Management (3 papers) and Anesthesia and Neurotoxicity Research (2 papers). Uta Maeda is often cited by papers focused on Alzheimer's disease research and treatments (4 papers), Heart Failure Treatment and Management (3 papers) and Anesthesia and Neurotoxicity Research (2 papers). Uta Maeda collaborates with scholars based in United States, Singapore and Canada. Uta Maeda's co-authors include Rudolph E. Tanzi, Zhongcong Xie, Yuanlin Dong, Deborah J. Culley, Gregory Crosby, Biing‐Jiun Shen, Ernst R. Schwarz, Stephen Mallon, Robert D. Moir and Weiming Xia and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Anesthesiology.

In The Last Decade

Uta Maeda

9 papers receiving 834 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Uta Maeda United States	9	422	396	229	210	114	9	862
Michel Y. Dubois United States	15	137 0.3×	79 0.2×	90 0.4×	685 3.3×	378 3.3×	44	1.2k
Adriano Vaz‐Serra Portugal	8	374 0.9×	531 1.3×	93 0.4×	311 1.5×	39 0.3×	14	688
Dennis W. Coalson United States	18	195 0.5×	133 0.3×	119 0.5×	417 2.0×	120 1.1×	38	891
Franklin Santana Santos Brazil	9	100 0.2×	163 0.4×	65 0.3×	111 0.5×	152 1.3×	30	691
Charles M. Richardson United States	15	36 0.1×	136 0.3×	69 0.3×	73 0.3×	116 1.0×	22	766
Lynda Wells United States	16	106 0.3×	63 0.2×	72 0.3×	190 0.9×	24 0.2×	23	568
Julius Bourke United Kingdom	11	152 0.4×	187 0.5×	51 0.2×	114 0.5×	49 0.4×	15	470
Dirk Rüsch Germany	16	37 0.1×	79 0.2×	171 0.7×	194 0.9×	40 0.4×	34	948
Fred Davis United States	6	77 0.2×	67 0.2×	66 0.3×	305 1.5×	140 1.2×	12	677
Junchao Zhu China	15	45 0.1×	92 0.2×	59 0.3×	65 0.3×	102 0.9×	38	594

Countries citing papers authored by Uta Maeda

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Uta Maeda

This figure shows the co-authorship network connecting the top 25 collaborators of Uta Maeda. A scholar is included among the top collaborators of Uta Maeda 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 Uta Maeda. Uta Maeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Shen, Biing‐Jiun & Uta Maeda. (2018). Psychosocial Predictors of Self-reported Medical Adherence in Patients With Heart Failure Over 6 Months: An Examination of the Influences of Depression, Self-efficacy, Social Support, and Their Changes. Annals of Behavioral Medicine. 52(7). 613–619. 14 indexed citations

Maeda, Uta, Biing‐Jiun Shen, Ernst R. Schwarz, Kristen A. Farrell, & Stephen Mallon. (2012). Self-Efficacy Mediates the Associations of Social Support and Depression with Treatment Adherence in Heart Failure Patients. International Journal of Behavioral Medicine. 20(1). 88–96. 142 indexed citations

Xie, Zhongcong, Yuanlin Dong, Uta Maeda, Weiming Xia, & Rudolph E. Tanzi. (2012). RNAi-mediated knock-down of Dab and Numb attenuate Aβ levels via γ-secretase mediated APP processing. Translational Neurodegeneration. 1(1). 8–8. 12 indexed citations

Shen, Biing‐Jiun, et al.. (2010). Depression and Anxiety Predict Decline in Physical Health Functioning in Patients with Heart Failure. Annals of Behavioral Medicine. 41(3). 373–382. 66 indexed citations

Wu, Sarah S., Meghan L. Meyer, Uta Maeda, et al.. (2008). Standardized Assessment of Strategy Use and Working Memory in Early Mental Arithmetic Performance. Developmental Neuropsychology. 33(3). 365–393. 59 indexed citations

Xie, Zhongcong, Yuanlin Dong, Uta Maeda, et al.. (2007). The Inhalation Anesthetic Isoflurane Induces a Vicious Cycle of Apoptosis and Amyloid β-Protein Accumulation. Journal of Neuroscience. 27(6). 1247–1254. 187 indexed citations

Xie, Zhongcong, Yuanlin Dong, Uta Maeda, Weiming Xia, & Rudolph E. Tanzi. (2006). RNA Interference Silencing of the Adaptor Molecules ShcC and Fe65 Differentially Affect Amyloid Precursor Protein Processing and Aβ Generation. Journal of Biological Chemistry. 282(7). 4318–4325. 47 indexed citations

Xie, Zhongcong, Yuanlin Dong, Uta Maeda, et al.. (2006). Isoflurane-Induced Apoptosis: A Potential Pathogenic Link Between Delirium and Dementia. The Journals of Gerontology Series A. 61(12). 1300–1306. 97 indexed citations

Xie, Zhongcong, Yuanlin Dong, Uta Maeda, et al.. (2006). The Common Inhalation Anesthetic Isoflurane Induces Apoptosis and Increases Amyloid β Protein Levels. Anesthesiology. 104(5). 988–994. 238 indexed citations

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.

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