Uta Mamrak

934 total citations
10 papers, 534 citations indexed

About

Uta Mamrak is a scholar working on Molecular Biology, Epidemiology and Neurology. According to data from OpenAlex, Uta Mamrak has authored 10 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Neurology. Recurrent topics in Uta Mamrak's work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Acute Ischemic Stroke Management (3 papers) and Barrier Structure and Function Studies (2 papers). Uta Mamrak is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Acute Ischemic Stroke Management (3 papers) and Barrier Structure and Function Studies (2 papers). Uta Mamrak collaborates with scholars based in Germany, United Kingdom and United States. Uta Mamrak's co-authors include Nikolaus Plesnila, Carsten Culmsee, Sang‐Woo Kim, Jodi Nunnari, Nicole A. Terpolilli, Changlian Zhu, Klas Blomgren, Lilja Meissner, Serge C. Thal and Susanne M. Schwarzmaier and has published in prestigious journals such as ACS Nano, Circulation Research and Brain.

In The Last Decade

Uta Mamrak

8 papers receiving 527 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Uta Mamrak Germany 7 288 131 123 101 90 10 534
Judith A. Herlein United States 12 248 0.9× 101 0.8× 112 0.9× 70 0.7× 156 1.7× 13 584
Maha Coucha United States 17 212 0.7× 246 1.9× 190 1.5× 103 1.0× 131 1.5× 33 719
Lilja Meissner Germany 7 243 0.8× 114 0.9× 78 0.6× 97 1.0× 61 0.7× 8 521
Dongdong Sun China 10 402 1.4× 164 1.3× 86 0.7× 213 2.1× 52 0.6× 10 702
Baoqi Dang China 14 261 0.9× 131 1.0× 123 1.0× 224 2.2× 51 0.6× 31 600
Lisa B. Willing United States 10 115 0.4× 178 1.4× 114 0.9× 41 0.4× 101 1.1× 16 461
Claudia Tubaro Italy 5 648 2.3× 106 0.8× 70 0.6× 206 2.0× 129 1.4× 5 831
Kenichiro Hira Japan 13 156 0.5× 213 1.6× 86 0.7× 67 0.7× 43 0.5× 31 512
Huiling Tang China 11 198 0.7× 121 0.9× 90 0.7× 137 1.4× 36 0.4× 17 530
Dongpei Yin China 11 361 1.3× 215 1.6× 83 0.7× 220 2.2× 44 0.5× 13 702

Countries citing papers authored by Uta Mamrak

Since Specialization
Citations

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

Fields of papers citing papers by Uta Mamrak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uta Mamrak

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

All Works

10 of 10 papers shown
1.
Khalin, Igor, Nagappanpillai Adarsh, Martina Schifferer, et al.. (2025). Nanocarrier Drug Release and Blood-Brain Barrier Penetration at Post-Stroke Microthrombi Monitored by Real-Time Förster Resonance Energy Transfer. ACS Nano. 19(15). 14780–14794. 1 indexed citations
2.
3.
Filser, Severin, Dániel Péter Varga, Simon Besson‐Girard, et al.. (2023). Continued dysfunction of capillary pericytes promotes no-reflow after experimental stroke in vivo. Brain. 147(3). 1057–1074. 18 indexed citations
4.
Mamrak, Uta, Stefan Roth, Andreas Zellner, et al.. (2023). Inhaled nitric oxide suppresses neuroinflammation in experimental ischemic stroke. Journal of Neuroinflammation. 20(1). 301–301. 9 indexed citations
5.
Cheng, Shiqi, Uta Mamrak, Igor Khalin, et al.. (2021). Acid-Ion Sensing Channel 1a Deletion Reduces Chronic Brain Damage and Neurological Deficits after Experimental Traumatic Brain Injury. Journal of Neurotrauma. 38(11). 1572–1584. 4 indexed citations
6.
Winek, Katarzyna, Uta Mamrak, Yanina Dening, et al.. (2021). A Primeval Mechanism of Tolerance to Desiccation Based on Glycolic Acid Saves Neurons in Mammals from Ischemia by Reducing Intracellular Calcium‐Mediated Excitotoxicity. Advanced Science. 9(4). e2103265–e2103265. 13 indexed citations
7.
Pfeiffer, Shona, Uta Mamrak, Niamh M. C. Connolly, et al.. (2021). AMPK‐regulated miRNA‐210‐3p is activated during ischaemic neuronal injury and modulates PI3K‐p70S6K signalling. Journal of Neurochemistry. 159(4). 710–728. 7 indexed citations
8.
Lourbopoulos, Athanasios, Uta Mamrak, Stefan Roth, et al.. (2016). Inadequate food and water intake determine mortality following stroke in mice. Journal of Cerebral Blood Flow & Metabolism. 37(6). 2084–2097. 42 indexed citations
9.
Kim, Sang‐Woo, et al.. (2012). Inhibition of Drp1 provides neuroprotection in vitro and in vivo. Cell Death and Differentiation. 19(9). 1446–1458. 282 indexed citations
10.
Terpolilli, Nicole A., Seong-Woong Kim, Serge C. Thal, et al.. (2011). Inhalation of Nitric Oxide Prevents Ischemic Brain Damage in Experimental Stroke by Selective Dilatation of Collateral Arterioles. Circulation Research. 110(5). 727–738. 158 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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