Tim E. Moors

2.4k total citations
16 papers, 827 citations indexed

About

Tim E. Moors is a scholar working on Neurology, Physiology and Cell Biology. According to data from OpenAlex, Tim E. Moors has authored 16 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Neurology, 12 papers in Physiology and 5 papers in Cell Biology. Recurrent topics in Tim E. Moors's work include Parkinson's Disease Mechanisms and Treatments (13 papers), Lysosomal Storage Disorders Research (7 papers) and Cellular transport and secretion (5 papers). Tim E. Moors is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (13 papers), Lysosomal Storage Disorders Research (7 papers) and Cellular transport and secretion (5 papers). Tim E. Moors collaborates with scholars based in Netherlands, United States and Switzerland. Tim E. Moors's co-authors include Wilma D. J. van de Berg, Tommaso Beccari, Lucilla Parnetti, Angela Ingrassia, Karlijn J. Doorn, Benjamin Drukarch, Paul J. Lucassen, Anne‐Marie van Dam, Jeroen J.M. Hoozemans and Marie‐Christine Chartier‐Harlin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Science Advances and Acta Neuropathologica.

In The Last Decade

Tim E. Moors

15 papers receiving 819 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tim E. Moors Netherlands	9	522	362	240	190	178	16	827
Natalie Landeck Sweden	13	565 1.1×	267 0.7×	143 0.6×	288 1.5×	161 0.9×	18	919
Peizhou Jiang United States	15	531 1.0×	341 0.9×	137 0.6×	239 1.3×	155 0.9×	26	954
Oeystein Roed Brekk United States	10	444 0.9×	280 0.8×	125 0.5×	155 0.8×	288 1.6×	12	756
Amanda M. Gysbers Australia	11	818 1.6×	520 1.4×	243 1.0×	282 1.5×	218 1.2×	11	1.2k
Irene Fernández‐Carasa Spain	9	560 1.1×	290 0.8×	193 0.8×	321 1.7×	286 1.6×	13	1.1k
David C. Schöndorf Germany	8	349 0.7×	414 1.1×	135 0.6×	206 1.1×	150 0.8×	11	893
Klodjan Stafa Switzerland	10	644 1.2×	264 0.7×	222 0.9×	223 1.2×	210 1.2×	11	995
Angela Ingrassia Netherlands	8	347 0.7×	358 1.0×	105 0.4×	152 0.8×	214 1.2×	11	800
Konstantin Senkevich Russia	13	484 0.9×	345 1.0×	131 0.5×	146 0.8×	82 0.5×	51	761
Géraldine Gelders Belgium	7	402 0.8×	242 0.7×	228 0.9×	166 0.9×	72 0.4×	7	838

Countries citing papers authored by Tim E. Moors

Since Specialization

Citations

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

Fields of papers citing papers by Tim E. Moors

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim E. Moors. 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 Tim E. Moors. The network helps show where Tim E. Moors may publish in the future.

Co-authorship network of co-authors of Tim E. Moors

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

All Works

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16 of 16 papers shown

Nuber, Silke, Tim E. Moors, Anupama Tiwari, et al.. (2025). Stearoyl-CoA desaturase inhibition normalizes brain lipid saturation, α-synuclein homeostasis, and motor function in mutant Gba1-Parkinson mice. JCI Insight. 10(13).

Moors, Tim E. & Dragomir Milovanović. (2024). Defining a Lewy Body: Running Up the Hill of Shifting Definitions and Evolving Concepts. Journal of Parkinson s Disease. 14(1). 17–33. 7 indexed citations

Nuber, Silke, Tim E. Moors, Maria Ericsson, et al.. (2024). Generation of G51D and 3D mice reveals decreased α-synuclein tetramer-monomer ratios promote Parkinson’s disease phenotypes. npj Parkinson s Disease. 10(1). 47–47. 7 indexed citations

Moors, Tim E., et al.. (2024). Reducing the lipase LIPE in mutant α-synuclein mice improves Parkinson-like deficits and reveals sex differences in fatty acid metabolism. Neurobiology of Disease. 199. 106593–106593. 3 indexed citations

Moors, Tim E., Hanneke Geut, Vinod Udayar, et al.. (2024). Altered TFEB subcellular localization in nigral neurons of subjects with incidental, sporadic and GBA-related Lewy body diseases. Acta Neuropathologica. 147(1). 67–67. 1 indexed citations

Moors, Tim E., et al.. (2023). Increased palmitoylation improves estrogen receptor alpha–dependent hippocampal synaptic deficits in a mouse model of synucleinopathy. Science Advances. 9(46). eadj1454–eadj1454. 9 indexed citations

Moors, Tim E., Daniel Mona, Gonzalo Durán-Pacheco, et al.. (2022). Multi-platform quantitation of alpha-synuclein human brain proteoforms suggests disease-specific biochemical profiles of synucleinopathies. Acta Neuropathologica Communications. 10(1). 82–82. 8 indexed citations

Glajch, Kelly E., Tim E. Moors, Yi Chen, et al.. (2021). Wild-type GBA1 increases the α-synuclein tetramer–monomer ratio, reduces lipid-rich aggregates, and attenuates motor and cognitive deficits in mice. Proceedings of the National Academy of Sciences. 118(31). 32 indexed citations

Tsai, Esther H. R., Amanda J. Lewis, Tim E. Moors, et al.. (2020). Alterations in Sub-Axonal Architecture Between Normal Aging and Parkinson’s Diseased Human Brains Using Label-Free Cryogenic X-ray Nanotomography. Frontiers in Neuroscience. 14. 570019–570019. 7 indexed citations

10.

Durán-Pacheco, Gonzalo, Silke Zimmermann, Tim E. Moors, et al.. (2018). Path mediation analysis reveals GBA impacts Lewy body disease status by increasing α-synuclein levels. Neurobiology of Disease. 121. 205–213. 47 indexed citations

11.

Moors, Tim E., Silvia Paciotti, Angela Ingrassia, et al.. (2018). Characterization of Brain Lysosomal Activities in GBA-Related and Sporadic Parkinson’s Disease and Dementia with Lewy Bodies. Molecular Neurobiology. 56(2). 1344–1355. 108 indexed citations

12.

Moors, Tim E., Jeroen J.M. Hoozemans, Angela Ingrassia, et al.. (2017). Therapeutic potential of autophagy-enhancing agents in Parkinson’s disease. Molecular Neurodegeneration. 12(1). 11–11. 228 indexed citations

13.

Tasegian, Anna, Silvia Paciotti, Maria Rachele Ceccarini, et al.. (2017). Origin of α-mannosidase activity in CSF. The International Journal of Biochemistry & Cell Biology. 87. 34–37. 8 indexed citations

14.

Moors, Tim E., Silvia Paciotti, Davide Chiasserini, et al.. (2016). Lysosomal Dysfunction and α‐Synuclein Aggregation in Parkinson's Disease: Diagnostic Links. Movement Disorders. 31(6). 791–801. 131 indexed citations

15.

Doorn, Karlijn J., Tim E. Moors, Benjamin Drukarch, et al.. (2014). Microglial phenotypes and toll-like receptor 2 in the substantia nigra and hippocampus of incidental Lewy body disease cases and Parkinson¿s disease patients. Acta Neuropathologica Communications. 2(1). 90–90. 12 indexed citations

16.

Doorn, Karlijn J., Tim E. Moors, Benjamin Drukarch, et al.. (2014). Microglial phenotypes and toll-like receptor 2 in the substantia nigra and hippocampus of incidental Lewy body disease cases and Parkinson’s disease patients. Acta Neuropathologica Communications. 2(1). 90–90. 219 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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