Valerie L. Sim

2.7k total citations · 1 hit paper
51 papers, 2.0k citations indexed

About

Valerie L. Sim is a scholar working on Molecular Biology, Neurology and Nutrition and Dietetics. According to data from OpenAlex, Valerie L. Sim has authored 51 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 17 papers in Neurology and 12 papers in Nutrition and Dietetics. Recurrent topics in Valerie L. Sim's work include Prion Diseases and Protein Misfolding (33 papers), Neurological diseases and metabolism (13 papers) and Trace Elements in Health (12 papers). Valerie L. Sim is often cited by papers focused on Prion Diseases and Protein Misfolding (33 papers), Neurological diseases and metabolism (13 papers) and Trace Elements in Health (12 papers). Valerie L. Sim collaborates with scholars based in Canada, United States and Germany. Valerie L. Sim's co-authors include Byron Caughey, Andrew G. Hughson, Leonardo M. Cortez, Gregory J. Raymond, Richard Race, Jay R. Silveira, Stanley F. Hayes, Ryuichiro Atarashi, Suzette A. Priola and David W. Dorward and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Valerie L. Sim

46 papers receiving 1.9k citations

Hit Papers

The most infectious prion... 2005 2026 2012 2019 2005 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Valerie L. Sim Canada 20 1.6k 640 507 492 153 51 2.0k
Olga V. Bocharova Russia 25 1.9k 1.2× 631 1.0× 648 1.3× 586 1.2× 112 0.7× 59 2.2k
Human Rezaei France 23 1.5k 0.9× 501 0.8× 298 0.6× 531 1.1× 77 0.5× 62 1.8k
Gabriela P. Saborı́o United States 13 1.7k 1.1× 710 1.1× 467 0.9× 562 1.1× 66 0.4× 15 2.0k
David W. Colby United States 21 2.2k 1.4× 636 1.0× 672 1.3× 392 0.8× 132 0.9× 23 2.6k
Corinne Ida Lasmézas France 33 2.8k 1.7× 1.3k 2.0× 463 0.9× 969 2.0× 147 1.0× 48 3.3k
K M Pan China 5 2.1k 1.3× 1.0k 1.6× 291 0.6× 921 1.9× 49 0.3× 10 2.2k
Daniela Sarnataro Italy 27 1.5k 0.9× 247 0.4× 415 0.8× 250 0.5× 450 2.9× 56 2.2k
Ana Serban United States 15 3.3k 2.1× 1.6k 2.5× 462 0.9× 1.5k 3.0× 76 0.5× 17 3.5k
Stanley B. Prusiner United States 21 3.1k 2.0× 1.7k 2.7× 392 0.8× 1.4k 2.8× 89 0.6× 27 3.3k
Noriyuki Nishida Japan 33 3.4k 2.1× 1.6k 2.5× 588 1.2× 1.1k 2.2× 126 0.8× 105 4.1k

Countries citing papers authored by Valerie L. Sim

Since Specialization
Citations

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

Fields of papers citing papers by Valerie L. Sim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Valerie L. Sim. 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 Valerie L. Sim. The network helps show where Valerie L. Sim may publish in the future.

Co-authorship network of co-authors of Valerie L. Sim

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

All Works

20 of 20 papers shown
1.
Monyror, John, Vilasrao J. Kadam, Luis Carlos Morales, et al.. (2025). Gangliosides modulate the secretion of extracellular vesicles and their misfolded protein cargo. Science Advances. 11(38). eady5212–eady5212.
2.
Cortez, Leonardo M., Emmanuel Planel, Jae‐Young Cho, et al.. (2025). Temperature-Dependent Aggregation of Tau Protein Is Attenuated by Native PLGA Nanoparticles Under in vitro Conditions. International Journal of Nanomedicine. Volume 20. 1999–2019. 1 indexed citations
3.
Willows, Steven, Harissios Vliagoftis, Valerie L. Sim, & Marianna Kulka. (2024). PrP is cleaved from the surface of mast cells by ADAM10 and proteases released during degranulation. Journal of Leukocyte Biology. 116(4). 838–853.
4.
Eskandari‐Sedighi, Ghazaleh, Leonardo M. Cortez, Kei Takahashi, et al.. (2024). Alzheimer’s disease associated isoforms of human CD33 distinctively modulate microglial cell responses in 5XFAD mice. Molecular Neurodegeneration. 19(1). 42–42. 14 indexed citations
5.
Monleón, Eva, Jacques van der Merwe, Richard P. Fahlman, et al.. (2023). In Vitro and In Vivo Evidence towards Fibronectin’s Protective Effects against Prion Infection. International Journal of Molecular Sciences. 24(24). 17525–17525. 1 indexed citations
6.
Willows, Steven, Valentyna Semenchenko, Grant Norman, et al.. (2023). Mast Cell Proteases Cleave Prion Proteins and a Recombinant Ig against PrP Can Activate Human Mast Cells. The Journal of Immunology. 210(9). 1447–1458. 3 indexed citations
7.
Cortez, Leonardo M., et al.. (2022). Probing the origin of prion protein misfolding via reconstruction of ancestral proteins. Protein Science. 31(12). e4477–e4477. 3 indexed citations
8.
Ali, Tahir, Samia Hannaoui, Satish Kumar Nemani, et al.. (2021). Oral administration of repurposed drug targeting Cyp46A1 increases survival times of prion infected mice. Acta Neuropathologica Communications. 9(1). 58–58. 27 indexed citations
9.
Sim, Valerie L., et al.. (2021). From Cell Culture to Organoids-Model Systems for Investigating Prion Strain Characteristics. Biomolecules. 11(1). 106–106. 9 indexed citations
11.
Nemani, Satish Kumar, Xiangzhu Xiao, Ignazio Calì, et al.. (2020). A novel mechanism of phenotypic heterogeneity in Creutzfeldt-Jakob disease. Acta Neuropathologica Communications. 8(1). 85–85. 11 indexed citations
12.
Herbst, Allen, et al.. (2018). 14-3-3 and enolase abundances in the CSF of Prion diseased rats. Prion. 12(3-4). 253–260. 1 indexed citations
14.
Gupta, Amar Nath, et al.. (2016). Pharmacological chaperone reshapes the energy landscape for folding and aggregation of the prion protein. Nature Communications. 7(1). 12058–12058. 37 indexed citations
15.
Cortez, Leonardo M. & Valerie L. Sim. (2014). The therapeutic potential of chemical chaperones in protein folding diseases. Prion. 8(2). 197–202. 194 indexed citations
16.
Cortez, Leonardo M. & Valerie L. Sim. (2013). Implications of prion polymorphisms. Prion. 7(4). 276–279. 8 indexed citations
17.
Sim, Valerie L.. (2012). Prion Disease: Chemotherapeutic Strategies. Infectious Disorders - Drug Targets. 12(2). 144–160. 43 indexed citations
18.
Ávila, César L., Rita Raisman‐Vozari, Dulce Papy-García, et al.. (2011). Characterization of Heparin-induced Glyceraldehyde-3-phosphate Dehydrogenase Early Amyloid-like Oligomers and Their Implication in α-Synuclein Aggregation. Journal of Biological Chemistry. 287(4). 2398–2409. 20 indexed citations
19.
Silveira, Jay R., Gregory J. Raymond, Andrew G. Hughson, et al.. (2005). The most infectious prion protein particles. Nature. 437(7056). 257–261. 717 indexed citations breakdown →
20.
Sim, Valerie L., et al.. (1972). A Vaccine Against Organophosphorus Poisoning. Defense Technical Information Center (DTIC). 1 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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