Uta Rickert

656 total citations
9 papers, 553 citations indexed

About

Uta Rickert is a scholar working on Neurology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Uta Rickert has authored 9 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Immunology. Recurrent topics in Uta Rickert's work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Nerve injury and regeneration (2 papers) and Adenosine and Purinergic Signaling (1 paper). Uta Rickert is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Nerve injury and regeneration (2 papers) and Adenosine and Purinergic Signaling (1 paper). Uta Rickert collaborates with scholars based in Germany, United States and Czechia. Uta Rickert's co-authors include Ralph Lucius, Henrik Wilms, Martin Rostami‐Yazdi, Ulrich Mrowietz, Jobst Sievers, Thomas Herdegen, Thomas Unger, Alexander Reinecke, Kirstin Reinecke and Ralph Lucius and has published in prestigious journals such as The FASEB Journal, Transplantation and Cell and Tissue Research.

In The Last Decade

Uta Rickert

9 papers receiving 550 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Uta Rickert Germany	8	213	160	113	81	70	9	553
Nitzan Levy Israel	15	243 1.1×	101 0.6×	148 1.3×	47 0.6×	50 0.7×	18	714
Aleksandra Jovanović Serbia	12	485 2.3×	177 1.1×	87 0.8×	40 0.5×	52 0.7×	23	875
Shanying Huang China	15	300 1.4×	103 0.6×	124 1.1×	29 0.4×	82 1.2×	30	610
Anuradha Chakrabarty United States	12	217 1.0×	56 0.3×	43 0.4×	32 0.4×	82 1.2×	13	532
Amanda W. Y. Yung Hong Kong	13	257 1.2×	145 0.9×	210 1.9×	18 0.2×	50 0.7×	15	647
Ming Fan United States	15	124 0.6×	51 0.3×	74 0.7×	69 0.9×	78 1.1×	20	567
Ioanna Plastira Austria	13	312 1.5×	144 0.9×	105 0.9×	45 0.6×	33 0.5×	14	568
Kewen Zhou China	12	330 1.5×	102 0.6×	37 0.3×	50 0.6×	30 0.4×	19	592
Yaling Tang China	16	220 1.0×	58 0.4×	88 0.8×	71 0.9×	34 0.5×	37	677
Macarena Hernández‐Jiménez Spain	14	324 1.5×	286 1.8×	158 1.4×	25 0.3×	66 0.9×	26	803

Countries citing papers authored by Uta Rickert

Since Specialization

Citations

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

Fields of papers citing papers by Uta Rickert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uta Rickert

This figure shows the co-authorship network connecting the top 25 collaborators of Uta Rickert. A scholar is included among the top collaborators of Uta Rickert 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 Rickert. Uta Rickert 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

Lenz, Florian, et al.. (2022). Anti-Inflammatory Properties of the SGLT2 Inhibitor Empagliflozin in Activated Primary Microglia. Cells. 11(19). 3107–3107. 37 indexed citations

Rickert, Uta, Janna Schneppenheim, François Cossais, et al.. (2018). Aldosterone exerts anti-inflammatory effects on LPS stimulated microglia. Heliyon. 4(10). e00826–e00826. 8 indexed citations

Rickert, Uta, et al.. (2018). Anti-inflammatory properties of Honokiol in activated primary microglia and astrocytes. Journal of Neuroimmunology. 323. 78–86. 38 indexed citations

Behrendt, Peter, Philipp Arnold, Uta Rickert, et al.. (2016). A Helminth Protease Inhibitor Modulates the Lipopolysaccharide-Induced Proinflammatory Phenotype of Microglia in vitro. NeuroImmunoModulation. 23(2). 109–121. 11 indexed citations

Arnold, Philipp, et al.. (2016). Trefoil factor 3 shows anti-inflammatory effects on activated microglia. Cell and Tissue Research. 365(1). 3–11. 19 indexed citations

Rickert, Uta, Steffen Grampp, Henrik Wilms, et al.. (2014). Glial Cell Line-Derived Neurotrophic Factor Family Members Reduce Microglial Activation via Inhibiting p38MAPKs-Mediated Inflammatory Responses. PubMed. 2014. 1–10. 29 indexed citations

Wilms, Henrik, Jobst Sievers, Uta Rickert, et al.. (2010). Dimethylfumarate inhibits microglial and astrocytic inflammation by suppressing the synthesis of nitric oxide, IL-1β, TNF-α and IL-6 in an in-vitro model of brain inflammation. Journal of Neuroinflammation. 7(1). 30–30. 298 indexed citations

Rickert, Uta, et al.. (2006). A Divalent Human Leukocyte Antigen-B7 Fusion-Protein Up-regulates CD25 and CD69 in Alloreactive CD8+ T Cells Bypassing CD28 Costimulation. Transplantation. 81(9). 1337–1344. 3 indexed citations

Reinecke, Kirstin, Ralph Lucius, Alexander Reinecke, et al.. (2003). Angiotensin II accelerates functional recovery in the rat sciatic nerve in vivo: role of the AT ₂ receptor and the transcription factor NF‐κB. The FASEB Journal. 17(14). 1–21. 110 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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