J. David Knox

781 total citations
25 papers, 547 citations indexed

About

J. David Knox is a scholar working on Molecular Biology, Oncology and Clinical Biochemistry. According to data from OpenAlex, J. David Knox has authored 25 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Clinical Biochemistry. Recurrent topics in J. David Knox's work include Prion Diseases and Protein Misfolding (14 papers), Neurological diseases and metabolism (4 papers) and Trace Elements in Health (4 papers). J. David Knox is often cited by papers focused on Prion Diseases and Protein Misfolding (14 papers), Neurological diseases and metabolism (4 papers) and Trace Elements in Health (4 papers). J. David Knox collaborates with scholars based in Canada, China and Germany. J. David Knox's co-authors include Adina Croitoru, Robert G. Gish, Lynn G. Feun, Gerard T. Kennealey, Ronald Feld, Camillo Porta, John Leighton, Krzysztof Jeziorski, Paul Ruff and Michael Stobart and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Clinical Cancer Research.

In The Last Decade

J. David Knox

22 papers receiving 539 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. David Knox Canada 10 262 125 92 81 73 25 547
Joël Walicki Switzerland 9 315 1.2× 35 0.3× 103 1.1× 48 0.6× 35 0.5× 11 547
Alexey Danilkovich United States 8 260 1.0× 59 0.5× 60 0.7× 31 0.4× 53 0.7× 16 535
Ji-Hyun Shin South Korea 12 402 1.5× 23 0.2× 115 1.3× 84 1.0× 92 1.3× 15 652
Liang Cao China 15 186 0.7× 185 1.5× 43 0.5× 42 0.5× 255 3.5× 40 621
Kazuo Umezawa Japan 10 199 0.8× 27 0.2× 114 1.2× 64 0.8× 64 0.9× 13 394
Chaozhi Jin China 13 338 1.3× 21 0.2× 83 0.9× 81 1.0× 98 1.3× 21 611
Guili Xu China 12 269 1.0× 43 0.3× 80 0.9× 120 1.5× 17 0.2× 21 472
Jiping Wang China 15 871 3.3× 97 0.8× 100 1.1× 826 10.2× 145 2.0× 25 1.3k
Shan Li China 16 418 1.6× 11 0.1× 76 0.8× 126 1.6× 64 0.9× 54 660

Countries citing papers authored by J. David Knox

Since Specialization
Citations

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

Fields of papers citing papers by J. David Knox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. David Knox. 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 J. David Knox. The network helps show where J. David Knox may publish in the future.

Co-authorship network of co-authors of J. David Knox

This figure shows the co-authorship network connecting the top 25 collaborators of J. David Knox. A scholar is included among the top collaborators of J. David Knox 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 J. David Knox. J. David Knox 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.
Albaba, Hamzeh, Anna Dodd, Osvaldo Espin‐Garcia, et al.. (2024). Impact of an Inter-Professional Clinic on Pancreatic Cancer Outcomes: A Retrospective Cohort Study. Current Oncology. 31(5). 2589–2597.
2.
Gibson, Andrew, J. David Knox, Keng Yeow Tay, et al.. (2022). Utility of Repeat Endpoint Quaking-Induced Conversion Testing in Creutzfeldt–Jakob Disease. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 50(6). 929–931.
3.
4.
Phillipson, Clark, et al.. (2020). Prospective Study Demonstrates Utility of EP-QuIC in Creutzfeldt–Jakob Disease Diagnoses. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 48(1). 127–129. 5 indexed citations
5.
Ng, Victoria, Philippe Gachon, Abla Mawudeku, et al.. (2019). Risk assessment strategies for early detection and prediction of infectious disease outbreaks associated with climate change. Canada Communicable Disease Report. 45(5). 119–126. 21 indexed citations
6.
Budhram, Adrian, et al.. (2019). The Predictive Value of Endpoint Quaking-Induced Conversion in Creutzfeldt-Jakob Disease. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 46(5). 595–598. 3 indexed citations
7.
Cheng, Keding, Angela Sloan, Robert Vendramelli, et al.. (2017). Altered rPrP substrate structures and their influence on real-time quaking induced conversion reactions. Protein Expression and Purification. 143. 20–27. 3 indexed citations
8.
Cheng, Keding, et al.. (2016). Endpoint Quaking-Induced Conversion: a Sensitive, Specific, and High-Throughput Method for Antemortem Diagnosis of Creutzfeldt-Jacob Disease. Journal of Clinical Microbiology. 54(7). 1751–1754. 17 indexed citations
9.
Cheng, Keding, Yi‐Min She, Angela Sloan, et al.. (2016). Mass Spectrometry–Based Escherichia coli H Antigen/Flagella Typing: Validation and Comparison with Traditional Serotyping. Clinical Chemistry. 62(6). 839–847. 7 indexed citations
10.
Cheng, Keding, Stuart McCorrister, Shawn Babiuk, et al.. (2014). Fit-for-purpose curated database application in mass spectrometry-based targeted protein identification and validation. BMC Research Notes. 7(1). 444–444. 7 indexed citations
11.
Cheng, Keding, Angela Sloan, Stuart McCorrister, et al.. (2014). Quality evaluation of LC‐MS/MS‐based E. coli H antigen typing (MS‐H) through label‐free quantitative data analysis in a clinical sample setup. PROTEOMICS - CLINICAL APPLICATIONS. 8(11-12). 963–970. 4 indexed citations
12.
13.
Cheng, Keding, Angela Sloan, Stuart McCorrister, et al.. (2014). Sequence-Level and Dual-Phase Identification of Salmonella Flagellum Antigens by Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS). Journal of Clinical Microbiology. 52(6). 2189–2192. 4 indexed citations
14.
Lamoureux, Lise, et al.. (2013). Urine Proteins Identified by Two-Dimensional Differential Gel Electrophoresis Facilitate the Differential Diagnoses of Scrapie. PLoS ONE. 8(5). e64044–e64044. 8 indexed citations
15.
Lamoureux, Lise, et al.. (2011). Factors affecting the accuracy of urine-based biomarkers of BSE. Proteome Science. 9(1). 6–6. 12 indexed citations
16.
Lamoureux, Lise, Michael Stobart, Martin H. Groschup, et al.. (2011). Analysis of Clusterin Glycoforms in the Urine of BSE-Infected Fleckvieh–Simmental Cows. Journal of Toxicology and Environmental Health. 74(2-4). 138–145. 6 indexed citations
17.
Stobart, Michael, et al.. (2009). Efficient Knockdown of Human prnp mRNA Expression Levels Using Hybrid Hammerhead Ribozymes. Journal of Toxicology and Environmental Health. 72(17-18). 1034–1039. 4 indexed citations
18.
Lamoureux, Lise, Michael Stobart, Ute Ziegler, et al.. (2008). The identification of disease-induced biomarkers in the urine of BSE infected cattle. Proteome Science. 6(1). 23–23. 18 indexed citations
19.
N., Kim, Lillian L. Siu, Hal Hirte, et al.. (2008). A Phase I Study of OGX-011, a 2′-Methoxyethyl Phosphorothioate Antisense to Clusterin, in Combination with Docetaxel in Patients with Advanced Cancer. Clinical Cancer Research. 14(3). 833–839. 95 indexed citations
20.
Stobart, Michael, et al.. (2007). Differential expression of interferon responsive genes in rodent models of transmissible spongiform encephalopathy disease. Molecular Neurodegeneration. 2(1). 5–5. 16 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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