Diana Scholz

751 total citations
8 papers, 486 citations indexed

About

Diana Scholz is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Diana Scholz has authored 8 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Physiology. Recurrent topics in Diana Scholz's work include Adenosine and Purinergic Signaling (2 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Alzheimer's disease research and treatments (2 papers). Diana Scholz is often cited by papers focused on Adenosine and Purinergic Signaling (2 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Alzheimer's disease research and treatments (2 papers). Diana Scholz collaborates with scholars based in Germany, Belgium and United States. Diana Scholz's co-authors include Marcel Leist, Stefan Schildknecht, Dominik Pöltl, Tanja Waldmann, Andreas Genewsky, Gaëlle Gillet, Irena Kadiu, James Keaney, Julie Lotharius and Florian Matt and has published in prestigious journals such as PLoS ONE, Journal of Neurochemistry and Neurobiology of Aging.

In The Last Decade

Diana Scholz

8 papers receiving 485 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Diana Scholz Germany	7	231	179	109	83	47	8	486
Ryan Prestil United States	6	255 1.1×	89 0.5×	94 0.9×	73 0.9×	28 0.6×	8	445
Swati Naphade United States	12	182 0.8×	96 0.5×	86 0.8×	118 1.4×	53 1.1×	19	416
Dominik Pöltl Germany	5	247 1.1×	165 0.9×	102 0.9×	77 0.9×	32 0.7×	5	469
Esthelle Hoedt United States	15	437 1.9×	143 0.8×	63 0.6×	53 0.6×	30 0.6×	18	658
Andrey S. Tsvetkov United States	17	496 2.1×	128 0.7×	81 0.7×	89 1.1×	35 0.7×	30	747
Sara K. Pittman United States	15	447 1.9×	123 0.7×	116 1.1×	104 1.3×	43 0.9×	26	716
Trisha R. Stankiewicz United States	8	347 1.5×	136 0.8×	61 0.6×	69 0.8×	46 1.0×	9	548
Hee Soon Choi South Korea	9	260 1.1×	83 0.5×	51 0.5×	109 1.3×	37 0.8×	17	443
Anwar Norazit Malaysia	11	178 0.8×	62 0.3×	84 0.8×	51 0.6×	52 1.1×	23	401
Hari Prasad India	12	288 1.2×	76 0.4×	39 0.4×	150 1.8×	39 0.8×	35	582

Countries citing papers authored by Diana Scholz

Since Specialization

Citations

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

Fields of papers citing papers by Diana Scholz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana Scholz

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

1.

Schulze, Monika‐Sarah E. D., Diana Scholz, Eric Jnoff, et al.. (2024). Identification of ß‐Glucocerebrosidase Activators for Glucosylceramide hydrolysis. ChemMedChem. 19(7). e202300548–e202300548. 4 indexed citations

2.

Keaney, James, et al.. (2019). Inhibition of Bruton’s Tyrosine Kinase Modulates Microglial Phagocytosis: Therapeutic Implications for Alzheimer’s Disease. Journal of Neuroimmune Pharmacology. 14(3). 448–461. 68 indexed citations

3.

Scholz, Diana, et al.. (2018). Reduced Aβ secretion by human neurons under conditions of strongly increased BACE activity. Journal of Neurochemistry. 147(2). 256–274. 11 indexed citations

4.

Carty, Nikisha, Karsten Tillack, Christina Thiede, et al.. (2015). Characterization of HTT Inclusion Size, Location, and Timing in the zQ175 Mouse Model of Huntington´s Disease: An In Vivo High-Content Imaging Study. PLoS ONE. 10(4). e0123527–e0123527. 44 indexed citations

5.

Natarajan, Karthick, Diana Scholz, Agapios Sachinidis, et al.. (2014). Lineage-Specific Regulation of Epigenetic Modifier Genes in Human Liver and Brain. PLoS ONE. 9(7). e102035–e102035. 18 indexed citations

6.

Scholz, Diana, et al.. (2012). Control of Aβ release from human neurons by differentiation status and RET signaling. Neurobiology of Aging. 34(1). 184–199. 14 indexed citations

7.

Scholz, Diana, Dominik Pöltl, Andreas Genewsky, et al.. (2011). Rapid, complete and large‐scale generation of post‐mitotic neurons from the human LUHMES cell line. Journal of Neurochemistry. 119(5). 957–971. 236 indexed citations

8.

Schildknecht, Stefan, Dominik Pöltl, Florian Matt, et al.. (2009). Requirement of a dopaminergic neuronal phenotype for toxicity of low concentrations of 1-methyl-4-phenylpyridinium to human cells. Toxicology and Applied Pharmacology. 241(1). 23–35. 91 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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