Ute Coates

1.1k total citations
8 papers, 822 citations indexed

About

Ute Coates is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ute Coates has authored 8 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 4 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Ute Coates's work include Functional Brain Connectivity Studies (7 papers), Neural dynamics and brain function (4 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). Ute Coates is often cited by papers focused on Functional Brain Connectivity Studies (7 papers), Neural dynamics and brain function (4 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). Ute Coates collaborates with scholars based in Germany, Ireland and United States. Ute Coates's co-authors include Thomas Meindl, Sophia Mueller, Maximilian F. Reiser, Walter Koch, Stefan Teipel, Harald Hampel, Arun L.W. Bokde, Daniel Keeser, Jens Benninghoff and Katharina Büerger and has published in prestigious journals such as PLoS ONE, NeuroImage and Human Brain Mapping.

In The Last Decade

Ute Coates

8 papers receiving 802 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ute Coates Germany	8	719	286	167	77	55	8	822
Joseph D. Viviano Canada	14	613 0.9×	233 0.8×	213 1.3×	119 1.5×	33 0.6×	29	829
Sita Kakunoori United States	6	479 0.7×	476 1.7×	140 0.8×	49 0.6×	53 1.0×	7	783
Azeez Adebimpe United States	15	563 0.8×	199 0.7×	159 1.0×	98 1.3×	80 1.5×	31	801
Kerstin Langbein Germany	14	488 0.7×	273 1.0×	267 1.6×	111 1.4×	45 0.8×	28	797
Jordi Manuello Italy	16	538 0.7×	209 0.7×	136 0.8×	130 1.7×	31 0.6×	42	730
Maristela S. Schaufelberger Brazil	17	525 0.7×	316 1.1×	390 2.3×	66 0.9×	27 0.5×	24	848
Karthik Sreenivasan United States	17	524 0.7×	208 0.7×	102 0.6×	131 1.7×	34 0.6×	34	808
Maryam Falahpour United States	10	550 0.8×	224 0.8×	90 0.5×	102 1.3×	35 0.6×	11	689
Xiaohu Zhao China	13	627 0.9×	261 0.9×	132 0.8×	160 2.1×	76 1.4×	51	868

Countries citing papers authored by Ute Coates

Since Specialization

Citations

This map shows the geographic impact of Ute Coates'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 Ute Coates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ute Coates more than expected).

Fields of papers citing papers by Ute Coates

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ute Coates. 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 Ute Coates. The network helps show where Ute Coates may publish in the future.

Co-authorship network of co-authors of Ute Coates

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

All Works

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8 of 8 papers shown

Hennig‐Fast, Kristina, Ute Coates, Norbert Müller, et al.. (2015). Obsessive-compulsive disorder – A question of conscience? An fMRI study of behavioural and neurofunctional correlates of shame and guilt. Journal of Psychiatric Research. 68. 354–362. 26 indexed citations

Blautzik, Janusch, Daniel Keeser, Marco Paolini, et al.. (2015). Functional connectivity increase in the default-mode network of patients with Alzheimer׳s disease after long-term treatment with Galantamine. European Neuropsychopharmacology. 26(3). 602–613. 24 indexed citations

Mueller, Sophia, Anna Caroline Leite Costa, Daniel Keeser, et al.. (2014). The effects of methylphenidate on whole brain intrinsic functional connectivity. Human Brain Mapping. 35(11). 5379–5388. 74 indexed citations

Mueller, Sophia, Daniel Keeser, Andrea C. Samson, et al.. (2013). Convergent Findings of Altered Functional and Structural Brain Connectivity in Individuals with High Functioning Autism: A Multimodal MRI Study. PLoS ONE. 8(6). e67329–e67329. 114 indexed citations

Blautzik, Janusch, Daniel Keeser, A. Berman, et al.. (2013). Long-Term Test-Retest Reliability of Resting-State Networks in Healthy Elderly Subjects and Patients with Amnestic Mild Cognitive Impairment. Journal of Alzheimer s Disease. 34(3). 741–754. 42 indexed citations

Koch, Walter, Sophia Mueller, Jens Benninghoff, et al.. (2010). Diagnostic power of default mode network resting state fMRI in the detection of Alzheimer's disease. Neurobiology of Aging. 33(3). 466–478. 219 indexed citations

Koch, Walter, Stefan Teipel, Sophia Mueller, et al.. (2009). Effects of aging on default mode network activity in resting state fMRI: Does the method of analysis matter?. NeuroImage. 51(1). 280–287. 170 indexed citations

Meindl, Thomas, Stefan Teipel, Sophia Mueller, et al.. (2009). Test–retest reproducibility of the default‐mode network in healthy individuals. Human Brain Mapping. 31(2). 237–246. 153 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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