Clemens R. Scherzer

11.0k total citations · 1 hit paper
72 papers, 4.5k citations indexed

About

Clemens R. Scherzer is a scholar working on Neurology, Molecular Biology and Physiology. According to data from OpenAlex, Clemens R. Scherzer has authored 72 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Neurology, 29 papers in Molecular Biology and 26 papers in Physiology. Recurrent topics in Clemens R. Scherzer's work include Parkinson's Disease Mechanisms and Treatments (38 papers), Lysosomal Storage Disorders Research (11 papers) and Alzheimer's disease research and treatments (11 papers). Clemens R. Scherzer is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (38 papers), Lysosomal Storage Disorders Research (11 papers) and Alzheimer's disease research and treatments (11 papers). Clemens R. Scherzer collaborates with scholars based in United States, Germany and China. Clemens R. Scherzer's co-authors include Bin Zheng, Steven R. Gullans, Zhixiang Liao, Michael G. Schlossmacher, Mel Β. Feany, Bénédicte F. Py, Marta M. Lipinski, Cheng Li, Ramnik J. Xavier and Zhenyu Yan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Clemens R. Scherzer

70 papers receiving 4.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Genome-wide analysis reveals mechanisms modulating autophagy in normal brain aging and in Alzheimer's disease

2010 550 citations Bin Zheng, Clemens R. Scherzer et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Clemens R. Scherzer United States	35	1.8k	1.8k	1.6k	1.2k	758	72	4.5k
Selina Wray United Kingdom	33	1.0k 0.6×	2.1k 1.2×	2.4k 1.5×	1.2k 1.0×	1.0k 1.3×	75	4.7k
Koichi Okamoto Japan	41	2.3k 1.2×	2.1k 1.2×	1.5k 1.0×	1.0k 0.9×	879 1.2×	216	5.5k
Jifeng Guo China	33	1.8k 1.0×	1.6k 0.9×	725 0.5×	1.0k 0.8×	716 0.9×	224	3.9k
Carla L. Busceti Italy	42	1.1k 0.6×	1.7k 1.0×	881 0.6×	2.0k 1.6×	615 0.8×	141	4.6k
Hideki Shimura Japan	29	2.5k 1.4×	2.2k 1.2×	1.1k 0.7×	1.7k 1.4×	880 1.2×	83	5.3k
Annakaisa Haapasalo Finland	36	690 0.4×	2.1k 1.2×	2.0k 1.3×	1.4k 1.2×	862 1.1×	109	5.3k
Benjamin Dehay France	36	2.8k 1.5×	1.8k 1.0×	1.5k 1.0×	1.5k 1.3×	785 1.0×	90	5.2k
Paul T. Kotzbauer United States	31	2.1k 1.2×	2.1k 1.2×	1.8k 1.1×	1.6k 1.4×	1.1k 1.5×	52	5.2k
Christina Patrick United States	31	2.8k 1.5×	1.4k 0.8×	1.6k 1.0×	1.7k 1.4×	1.4k 1.8×	47	5.0k
Takahiko Tokuda Japan	42	3.3k 1.8×	2.3k 1.3×	2.5k 1.6×	1.5k 1.3×	970 1.3×	171	6.9k

Countries citing papers authored by Clemens R. Scherzer

Since Specialization

Citations

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

Fields of papers citing papers by Clemens R. Scherzer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clemens R. Scherzer. 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 Clemens R. Scherzer. The network helps show where Clemens R. Scherzer may publish in the future.

Co-authorship network of co-authors of Clemens R. Scherzer

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

All Works

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20 of 20 papers shown

Wu, Hao, Junhao Wang, Jean‐Christophe Corvol, et al.. (2025). Genetic Analysis of the X Chromosome Associates Loci with Progression of Parkinson's Disease. Movement Disorders. 40(9). 1908–1918.

Riise, Trond, Julia Romanowska, Marianna Cortese, et al.. (2025). Association of Medication Use and 8-Year Mortality Risk in Patients With Parkinson Disease. Neurology. 105(3). e213783–e213783.

Giladi, Nir, Roy N. Alcalay, Gary Cutter, et al.. (2023). Safety and efficacy of venglustat in GBA1-associated Parkinson's disease: an international, multicentre, double-blind, randomised, placebo-controlled, phase 2 trial. The Lancet Neurology. 22(8). 661–671. 38 indexed citations

Karayel, Özge, Sebastian Virreira Winter, Shalini Padmanabhan, et al.. (2022). Proteome profiling of cerebrospinal fluid reveals biomarker candidates for Parkinson’s disease. Cell Reports Medicine. 3(6). 100661–100661. 103 indexed citations

Mellick, George D., Jacob Gratten, Richard Parker, et al.. (2022). Australian Parkinson’s Genetics Study (APGS): pilot (n=1532). BMJ Open. 12(2). e052032–e052032. 4 indexed citations

Fonseca‐Ornelas, Luis, Beatrice Weykopf, Ulf Dettmer, et al.. (2022). Parkinson-causing mutations in LRRK2 impair the physiological tetramerization of endogenous α-synuclein in human neurons. npj Parkinson s Disease. 8(1). 118–118. 22 indexed citations

Dong, Xianjun, et al.. (2021). powerEQTL: an R package and shiny application for sample size and power calculation of bulk tissue and single-cell eQTL analysis. Bioinformatics. 37(22). 4269–4271. 16 indexed citations

Huh, Young Eun, Hye Jung Park, Ming Sum Ruby Chiang, et al.. (2021). Glucosylceramide in cerebrospinal fluid of patients with GBA-associated and idiopathic Parkinson’s disease enrolled in PPMI. npj Parkinson s Disease. 7(1). 102–102. 31 indexed citations

Herrmann, Katharine M. von, Angeline S. Andrew, Yuliya I. Kuras, et al.. (2021). Plasma-borne indicators of inflammasome activity in Parkinson’s disease patients. npj Parkinson s Disease. 7(1). 2–2. 56 indexed citations

10.

Watzlawik, Jens O., Xu Hou, Dominika Fričová, et al.. (2020). Sensitive ELISA-based detection method for the mitophagy marker p-S65-Ub in human cells, autopsy brain, and blood samples. Autophagy. 17(9). 2613–2628. 35 indexed citations

11.

Alcalay, Roy N., Pavlina Wolf, Ming Sum Ruby Chiang, et al.. (2020). Longitudinal Measurements of Glucocerebrosidase activity in Parkinson’s patients. Annals of Clinical and Translational Neurology. 7(10). 1816–1830. 25 indexed citations

12.

Rotunno, Melissa, Wenfei Zhang, Pavlina Wolf, et al.. (2020). Cerebrospinal fluid proteomics implicates the granin family in Parkinson’s disease. Scientific Reports. 10(1). 2479–2479. 55 indexed citations

13.

Dwivedi, Garima, E. Frank, Emily Geishecker, et al.. (2019). Human cartilage-bone-synovium microphysiological system to study ptoa pathogenesis and treatment on earth and in space. Osteoarthritis and Cartilage. 27. S167–S167. 4 indexed citations

14.

Fisch, Kathleen M., Jianping Hua, Ganqiang Liu, et al.. (2019). DNA methylation changes associated with Parkinson’s disease progression: outcomes from the first longitudinal genome-wide methylation analysis in blood. Epigenetics. 14(4). 365–382. 54 indexed citations

15.

Lööv, Camilla, Clemens R. Scherzer, Bradley T. Hyman, Xandra O. Breakefield, & Martin Ingelsson. (2016). α-Synuclein in Extracellular Vesicles: Functional Implications and Diagnostic Opportunities. Cellular and Molecular Neurobiology. 36(3). 437–448. 51 indexed citations

16.

Chhatwal, Jasmeer P., Aaron P. Schultz, Gad A. Marshall, et al.. (2015). O4‐01‐04: Entorhinal, parahippocampal, and inferior temporal F18‐T807 SUVR correlates with CSF total tau and tau T181P in cognitively normal elderly. Alzheimer s & Dementia. 11(7S_Part_6). 2 indexed citations

17.

Hu, Yi, Vanita Chopra, Raman Chopra, et al.. (2011). Transcriptional modulator H2A histone family, member Y ( H2AFY ) marks Huntington disease activity in man and mouse. Proceedings of the National Academy of Sciences. 108(41). 17141–17146. 76 indexed citations

18.

Khurana, Vikram, Ilan Elson‐Schwab, Tudor A. Fulga, et al.. (2010). Lysosomal Dysfunction Promotes Cleavage and Neurotoxicity of Tau In Vivo. PLoS Genetics. 6(7). e1001026–e1001026. 124 indexed citations

19.

Scherzer, Clemens R.. (2009). Interview - Searching for Biomarkers in Parkinson's Disease. Biomarkers in Medicine. 3(2). 113–114. 3 indexed citations

20.

Scherzer, Clemens R., J. Nellesen, Karl Röhn, et al.. (2009). COMPARATIVE STRUCTURAL ANALYSIS OF THE CANINE FEMORAL HEAD IN LEGG‐CALVÉ‐PERTHES DISEASE. Veterinary Radiology & Ultrasound. 50(4). 404–411. 7 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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