Jennifer Taher

984 total citations
36 papers, 562 citations indexed

About

Jennifer Taher is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Jennifer Taher has authored 36 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Endocrinology, Diabetes and Metabolism and 8 papers in Physiology. Recurrent topics in Jennifer Taher's work include Diabetes Treatment and Management (7 papers), Regulation of Appetite and Obesity (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Jennifer Taher is often cited by papers focused on Diabetes Treatment and Management (7 papers), Regulation of Appetite and Obesity (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Jennifer Taher collaborates with scholars based in Canada, United States and United Kingdom. Jennifer Taher's co-authors include Khosrow Adeli, Sarah Farr, Christopher L. Baker, M. Mahmood Hussain, Mark Naples, Qiaozhu Su, Jahangir Iqbal, Céline Bourdon, Hassan Masoudpour and Zdenka Pausová and has published in prestigious journals such as Endocrinology, Arteriosclerosis Thrombosis and Vascular Biology and Clinical Chemistry.

In The Last Decade

Jennifer Taher

34 papers receiving 549 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer Taher Canada 16 213 174 133 131 107 36 562
Camella G. Wilson United States 8 180 0.8× 214 1.2× 149 1.1× 117 0.9× 279 2.6× 9 598
Kenneth Wu Canada 7 160 0.8× 246 1.4× 110 0.8× 329 2.5× 67 0.6× 12 678
Yuvaraj Mahendran Denmark 13 235 1.1× 377 2.2× 153 1.2× 339 2.6× 188 1.8× 22 881
Emanuela Laratta Italy 10 232 1.1× 240 1.4× 159 1.2× 161 1.2× 172 1.6× 13 693
Ivana R. Sequeira New Zealand 13 202 0.9× 189 1.1× 123 0.9× 200 1.5× 130 1.2× 41 590
C. Seifarth Germany 11 334 1.6× 174 1.0× 232 1.7× 127 1.0× 48 0.4× 15 766
Paola León‐Mimila Mexico 18 146 0.7× 383 2.2× 80 0.6× 218 1.7× 277 2.6× 23 815
Anabela Da Costa Switzerland 8 257 1.2× 221 1.3× 320 2.4× 130 1.0× 85 0.8× 9 737
Jinmi Lee South Korea 15 232 1.1× 250 1.4× 177 1.3× 147 1.1× 240 2.2× 26 659
Yongyan Song China 16 207 1.0× 261 1.5× 221 1.7× 133 1.0× 167 1.6× 58 834

Countries citing papers authored by Jennifer Taher

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Taher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer Taher. 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 Jennifer Taher. The network helps show where Jennifer Taher may publish in the future.

Co-authorship network of co-authors of Jennifer Taher

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Taher. A scholar is included among the top collaborators of Jennifer Taher 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 Jennifer Taher. Jennifer Taher 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.
Taher, Jennifer, et al.. (2025). Generation of Cancellable and Irrevocable Fingerprint Biometric Templates Using Quadrant Shift Modulation Transformation. Engineering Technology & Applied Science Research. 15(5). 28165–28171.
2.
Bohn, Mary Kathryn, Lucas B. Chartier, Luke Devine, et al.. (2024). Primer Part 1 − Preparing a laboratory quality improvement project. Clinical Biochemistry. 127-128. 110764–110764. 1 indexed citations
3.
Meo, Ashley Di, et al.. (2024). Evaluation of a New NT-proBNP Immunoassay on an Automated Core Laboratory System. The Journal of Applied Laboratory Medicine. 9(3). 579–585. 2 indexed citations
4.
Lerner‐Ellis, Jordan, et al.. (2023). Applications of SARS-CoV-2 serological testing: impact of test performance, sample matrices, and patient characteristics. Critical Reviews in Clinical Laboratory Sciences. 61(1). 70–88. 6 indexed citations
5.
Wolday, Dawit, et al.. (2023). HLA Variation and SARS-CoV-2 Specific Antibody Response. Viruses. 15(4). 906–906. 16 indexed citations
6.
Delaney, Sarah, Ravinder Singh, Felix Leung, et al.. (2022). Bias in IGF-1 concentrations and interpretation across three different clinical laboratory assays. Clinical Biochemistry. 108. 14–19. 5 indexed citations
7.
8.
Casalino, Selina, Chloe Mighton, Hanna Faghfoury, et al.. (2022). Genome Reporting for Healthy Populations—Pipeline for Genomic Screening from the GENCOV COVID‐19 Study. Current Protocols. 2(10). e534–e534. 2 indexed citations
9.
Taher, Jennifer, Edward Randell, Dana Bailey, et al.. (2021). Canadian Society of Clinical Chemists (CSCC) consensus guidance for testing, selection and quality management of SARS-CoV-2 point-of-care tests. Clinical Biochemistry. 95. 1–12. 3 indexed citations
10.
Higgins, Victoria, R. Augustin, Vathany Kulasingam, & Jennifer Taher. (2021). Sample stability of autoantibodies: A tool for laboratory quality initiatives. Clinical Biochemistry. 96. 43–48. 4 indexed citations
11.
Fung, Angela W.S., et al.. (2021). Rapid COVID-19 testing: Speed, quality and cost. Can you have all three?. Clinical Biochemistry. 95. 13–14. 2 indexed citations
12.
Hendrix, Bill, Wei Zheng, Matthew Bauer, et al.. (2021). Topically delivered 22 nt siRNAs enhance RNAi silencing of endogenous genes in two species. Planta. 254(3). 60–60. 16 indexed citations
13.
Taher, Jennifer, Taline Naranian, Yu‐Yan Poon, et al.. (2021). Vitamins and Infusion of Levodopa-Carbidopa Intestinal Gel. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 49(1). 19–28. 15 indexed citations
14.
Farr, Sarah, et al.. (2020). Bile acid treatment and FXR agonism lower postprandial lipemia in mice. American Journal of Physiology-Gastrointestinal and Liver Physiology. 318(4). G682–G693. 20 indexed citations
15.
Taher, Jennifer, et al.. (2018). A novel Sigma metric encompasses global multi-site performance of 18 assays on the Abbott Alinity system. Clinical Biochemistry. 63. 106–112. 16 indexed citations
16.
Zhang, Jing, Mostafa Zamani, Christoph Thiele, et al.. (2017). AUP1 (Ancient Ubiquitous Protein 1) Is a Key Determinant of Hepatic Very-Low–Density Lipoprotein Assembly and Secretion. Arteriosclerosis Thrombosis and Vascular Biology. 37(4). 633–642. 15 indexed citations
17.
Taher, Jennifer, et al.. (2016). Complex role of autophagy in regulation of hepatic lipid andlipoprotein metabolism. Journal of Biomedical Research. 31(5). 377–377. 21 indexed citations
18.
Sud, Neetu, Jennifer Taher, & Qiaozhu Su. (2015). MicroRNAs and Noncoding RNAs in Hepatic Lipid and Lipoprotein Metabolism: Potential Therapeutic Targets of Metabolic Disorders. Drug Development Research. 76(6). 318–327. 19 indexed citations
19.
20.
Farr, Sarah, Jennifer Taher, & Khosrow Adeli. (2014). Glucagon-Like Peptide-1 as a Key Regulator of Lipid and Lipoprotein Metabolism in Fasting and Postprandial States. Cardiovascular & Haematological Disorders - Drug Targets. 14(2). 126–136. 50 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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