Ute Neubacher

16 total papers · 518 total citations
13 papers, 425 citations indexed

About

Ute Neubacher is a scholar working on Cellular and Molecular Neuroscience, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Ute Neubacher has authored 13 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 8 papers in Neurology and 5 papers in Cognitive Neuroscience. Recurrent topics in Ute Neubacher's work include Neuroscience and Neuropharmacology Research (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Neural dynamics and brain function (3 papers). Ute Neubacher is often cited by papers focused on Neuroscience and Neuropharmacology Research (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Neural dynamics and brain function (3 papers). Ute Neubacher collaborates with scholars based in Germany, Switzerland and Russia. Ute Neubacher's co-authors include Martin Rausch, Markus Rudin, Klaus Funke, Alia Benali, Annika Mix, Ernst W. Radü, André Sauter, Diana Baumann, Johannes Fröhlich and Lukas J. Volz and has published in prestigious journals such as Journal of Neuroscience, Cerebral Cortex and Magnetic Resonance in Medicine.

In The Last Decade

Ute Neubacher

12 papers receiving 421 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ute Neubacher	197	129	102	95	71	13	425
Jason R. Potas	157 0.8×	66 0.5×	146 1.4×	72 0.8×	56 0.8×	20	475
Micael Lønstrup	190 1.0×	68 0.5×	135 1.3×	108 1.1×	57 0.8×	11	454
Joanna Adamczak	112 0.6×	48 0.4×	112 1.1×	171 1.8×	86 1.2×	15	463
Stefan Blaschke	147 0.7×	93 0.7×	77 0.8×	76 0.8×	27 0.4×	25	407
Alireza Abaei	48 0.2×	54 0.4×	53 0.5×	153 1.6×	85 1.2×	28	438
Michael Diedenhofen	87 0.4×	92 0.7×	98 1.0×	90 0.9×	125 1.8×	14	406
Balázs Varga	68 0.3×	40 0.3×	140 1.4×	157 1.7×	20 0.3×	13	374
Kirsten Wissel	106 0.5×	43 0.3×	135 1.3×	146 1.5×	19 0.3×	24	478
Elisabeth Mamelle	116 0.6×	127 1.0×	37 0.4×	56 0.6×	15 0.2×	16	484
Panya S. Manoonkitiwongsa	146 0.7×	26 0.2×	118 1.2×	197 2.1×	22 0.3×	10	384

Countries citing papers authored by Ute Neubacher

Since Specialization

Citations

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

Fields of papers citing papers by Ute Neubacher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ute Neubacher

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

All Works

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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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