Valerie L. Sim

2.7k citations
51 papers · 2.0k indexed · 1 hit paper · h-index 20

Valerie L. Sim

46 papers receiving 1.9k citations

Hit Papers

The most infectious prion protein particles7172005202620122019200400600

Peers

Valerie L. Sim
Comparison fields: 5 of 110
  • Neurology 640
  • Nutrition and Dietetics 492
  • Molecular Biology 1.6k
  • Physiology 507
  • Cell Biology 153
Replace David W. Colby with:
David W. Colby United States
Human Rezaei France
Gabriela P. Saborı́o United States
Olga V. Bocharova Russia
Corinne Ida Lasmézas France
Daniela Sarnataro Italy
Noriyuki Nishida Japan
Ana Serban United States
Stanley B. Prusiner United States
Rebecca M. Nisbet Australia
Valerie L. Sim relative to David W. Colby United States David W. Colby's profile →
Citations per field
00.5×1.5×
David W. Colby · 1×
Citations per year

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

The 25 scholars most cited alongside Valerie L. Sim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Valerie L. Sim Line = papers co-authored together Valerie L. Sim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20240
4 202414
5 20233
6 20231
7 202127
8 20200
9 202011
10 20160
11 20168
12 201637
13 20157
14 2014194
15 20138
16 201243
17 201120
18 200940
19
The most infectious prion protein particlesbreakdown →
2005717
20
A Vaccine Against Organophosphorus Poisoning
19721

About Valerie L. Sim

Valerie L. Sim is a scholar working on Neurology, Nutrition and Dietetics and Neurology, having authored 51 papers that have together received 2.0k indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (33 papers), Neurological diseases and metabolism (13 papers), Trace Elements in Health (12 papers), Alzheimer's disease research and treatments (11 papers), Botulinum Toxin and Related Neurological Disorders (3 papers), Hereditary Neurological Disorders (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Mast cells and histamine (3 papers). The work is most often cited by research in Neurology (640 citations), Nutrition and Dietetics (492 citations) and Molecular Biology (1.6k citations). Valerie L. Sim has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Byron Caughey, Andrew G. Hughson, Leonardo M. Cortez, Stanley F. Hayes, Richard Race, Gregory J. Raymond, Jay R. Silveira, Ryuichiro Atarashi, Roger A. Moore and David W. Dorward. Their work appears in journals such as Nature, Journal of Biological Chemistry and Nature Communications.

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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