Jacklyn N. Thibert

529 total citations
9 papers, 336 citations indexed

About

Jacklyn N. Thibert is a scholar working on Cancer Research, Oncology and Genetics. According to data from OpenAlex, Jacklyn N. Thibert has authored 9 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cancer Research, 3 papers in Oncology and 3 papers in Genetics. Recurrent topics in Jacklyn N. Thibert's work include Estrogen and related hormone effects (3 papers), Cancer Genomics and Diagnostics (3 papers) and Breast Cancer Treatment Studies (2 papers). Jacklyn N. Thibert is often cited by papers focused on Estrogen and related hormone effects (3 papers), Cancer Genomics and Diagnostics (3 papers) and Breast Cancer Treatment Studies (2 papers). Jacklyn N. Thibert collaborates with scholars based in United States, United Kingdom and Italy. Jacklyn N. Thibert's co-authors include James M. Rae, Daniel F. Hayes, Jack Cuzick, Ivana Šestak, Mitch Dowsett, Janine Salter, Vered Stearns, Ben P. Haynes, Christina L. Gersch and Daniel L. Hertz and has published in prestigious journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Cancer Research.

In The Last Decade

Jacklyn N. Thibert

9 papers receiving 332 citations

Peers

Jacklyn N. Thibert

GENET

PHARM

ONCOL

Marcel Fontecha United States

Erdogan Batman Netherlands

Robbert J. van Alphen Netherlands

Longli Kang China

Agneta Freijs Sweden

Kevin Dietrich Canada

Jenny Mao United States

Judy-Anne W. Chapman Canada

Hoffmann-La Roche France

Sushma Thomas United States

Marcel Fontecha United States

Jacklyn N. Thibert

284 ×1.8

GENET

255 ×1.7

PHARM

137 ×1.0

ONCOL

86 ×1.2

104 ×1.7

Citations per year, relative to Jacklyn N. Thibert Jacklyn N. Thibert (= 1×) peers Marcel Fontecha

Countries citing papers authored by Jacklyn N. Thibert

Since Specialization

Citations

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

Fields of papers citing papers by Jacklyn N. Thibert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacklyn N. Thibert. 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 Jacklyn N. Thibert. The network helps show where Jacklyn N. Thibert may publish in the future.

Co-authorship network of co-authors of Jacklyn N. Thibert

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

All Works

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9 of 9 papers shown

Poznak, Catherine Van, Evan L. Reynolds, Cherry L. Estilo, et al.. (2020). Osteonecrosis of the jaw risk factors in bisphosphonate‐treated patients with metastatic cancer. Oral Diseases. 28(1). 193–201. 7 indexed citations

Hertz, Daniel L., Megan E.V. Caram, Kelley M. Kidwell, et al.. (2016). Evidence for Association of SNPs in ABCB1 and CBR3 , but not RAC2, NCF4, SLC28A3 or TOP2B , with Chronic Cardiotoxicity in a Cohort of Breast Cancer Patients Treated with Anthracyclines. Pharmacogenomics. 17(3). 231–240. 62 indexed citations

Hertz, Daniel L., N. Lynn Henry, Kelley M. Kidwell, et al.. (2016). ESR1 and PGR polymorphisms are associated with estrogen and progesterone receptor expression in breast tumors. Physiological Genomics. 48(9). 688–698. 11 indexed citations

Hertz, Daniel L., Kelley M. Kidwell, Jacklyn N. Thibert, et al.. (2015). Genotyping concordance in DNA extracted from formalin‐fixed paraffin embedded (FFPE) breast tumor and whole blood for pharmacogenetic analyses. Molecular Oncology. 9(9). 1868–1876. 22 indexed citations

Hertz, Daniel L., Kelley M. Kidwell, Jacklyn N. Thibert, et al.. (2015). Comparison of genotyping performance in DNA extracted from matched FFPE tumor, FFPE lymph node, and whole blood for pharmacogenetic analyses.. Journal of Clinical Oncology. 33(15_suppl). 1528–1528. 1 indexed citations

Rae, James M., Meredith M. Regan, Jacklyn N. Thibert, et al.. (2013). Concordance Between CYP2D6 Genotypes Obtained From Tumor-Derived and Germline DNA. JNCI Journal of the National Cancer Institute. 105(17). 1332–1334. 21 indexed citations

Rae, James M., Daniel F. Hayes, Vered Stearns, et al.. (2012). CYP2D6 and UGT2B7 Genotype and Risk of Recurrence in Tamoxifen-Treated Breast Cancer Patients. JNCI Journal of the National Cancer Institute. 104(6). 452–460. 177 indexed citations

Rae, James M., Jacklyn N. Thibert, Magdalena Sikora, et al.. (2009). Lack of Correlation between Genetic Polymorphisms in Tamoxifen Metabolizing Enzymes with Primary Endpoints in the IMPACT Trial.. Cancer Research. 69(24_Supplement). 2011–2011. 2 indexed citations

Hawley, Angela E., Jacklyn N. Thibert, Diana Farris, et al.. (2009). Aging is associated with impaired thrombus resolution in a mouse model of stasis induced thrombosis. Thrombosis Research. 125(1). 72–78. 33 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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