Marcel Fontecha

737 total citations
11 papers, 534 citations indexed

About

Marcel Fontecha is a scholar working on Genetics, Oncology and Pharmacology. According to data from OpenAlex, Marcel Fontecha has authored 11 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Oncology and 5 papers in Pharmacology. Recurrent topics in Marcel Fontecha's work include Estrogen and related hormone effects (5 papers), Pharmacogenetics and Drug Metabolism (5 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). Marcel Fontecha is often cited by papers focused on Estrogen and related hormone effects (5 papers), Pharmacogenetics and Drug Metabolism (5 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). Marcel Fontecha collaborates with scholars based in United States, Switzerland and United Kingdom. Marcel Fontecha's co-authors include Grantland Hillman, D M Nikoloff, Minya Pu, BA Parker, Lisa Madlensky, John P. Pierce, Simone Tchu, Joanne Mortimer, Loki Natarajan and Shirley W. Flatt and has published in prestigious journals such as Cancer, Cancer Research and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Marcel Fontecha

11 papers receiving 523 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcel Fontecha United States 7 284 255 137 120 104 11 534
Linda P. Briley United States 10 155 0.5× 182 0.7× 120 0.9× 78 0.7× 255 2.5× 21 672
Thomas Muerdter Germany 5 249 0.9× 276 1.1× 215 1.6× 91 0.8× 126 1.2× 9 511
Maureen Boxer United Kingdom 12 112 0.4× 113 0.4× 101 0.7× 51 0.4× 242 2.3× 14 625
Katsuyoshi Kawana Japan 8 88 0.3× 103 0.4× 125 0.9× 20 0.2× 139 1.3× 11 519
Y.-T. Chen United States 8 148 0.5× 128 0.5× 17 0.1× 24 0.2× 177 1.7× 9 510
Anna Menoyo Spain 8 55 0.2× 132 0.5× 411 3.0× 39 0.3× 384 3.7× 9 686
Lisa Borges-Marcucci Canada 8 111 0.4× 23 0.1× 172 1.3× 38 0.3× 98 0.9× 9 403
Million Arefayene United States 8 34 0.1× 107 0.4× 162 1.2× 44 0.4× 175 1.7× 13 451
Jacklyn N. Thibert United States 7 161 0.6× 148 0.6× 137 1.0× 59 0.5× 60 0.6× 9 336
Taku Kusaba Japan 6 122 0.4× 32 0.1× 74 0.5× 239 2.0× 96 0.9× 7 410

Countries citing papers authored by Marcel Fontecha

Since Specialization
Citations

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

Fields of papers citing papers by Marcel Fontecha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcel Fontecha

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

All Works

11 of 11 papers shown
1.
Manohar, Chitra, et al.. (2022). Agile design and development of a high throughput cobas SARS-CoV-2 RT-PCR diagnostic test. Heliyon. 8(9). e10591–e10591. 3 indexed citations
2.
Lee, Greg, Yu Chuan Tai, Cathal Ó’Brien, et al.. (2020). Molecular Subtyping of Diffuse Large B-Cell Lymphoma Using a Novel Quantitative RT-PCR Assay. Journal of Molecular Diagnostics. 23(3). 323–340. 3 indexed citations
4.
Broglio, Kristine, Lajos Pusztai, D M Nikoloff, et al.. (2011). Effect of CYP2D6 polymorphisms on breast cancer recurrence. Cancer. 118(5). 1221–1227. 20 indexed citations
5.
Madlensky, Lisa, Loki Natarajan, Simone Tchu, et al.. (2011). Tamoxifen Metabolite Concentrations, CYP2D6 Genotype, and Breast Cancer Outcomes. Clinical Pharmacology & Therapeutics. 89(5). 718–725. 246 indexed citations
6.
Bray, Susan E., Margaret Johnson, Philip Quinlan, et al.. (2010). CYP2D6 genotype affects outcome in postmenopausal breast cancer patients treated with tamoxifen monotherapy. Breast Cancer Research. 12(S1). 6 indexed citations
7.
Thompson, Alastair M., Andrea Johnson, Philip Quinlan, et al.. (2010). Comprehensive CYP2D6 genotype and adherence affect outcome in breast cancer patients treated with tamoxifen monotherapy. Breast Cancer Research and Treatment. 125(1). 279–287. 71 indexed citations
8.
Madlensky, Lisa, Loki Natarajan, D M Nikoloff, et al.. (2009). Hot flashes are associated with CYP2D6 genotype in breast cancer survivors taking tamoxifen.. Cancer Research. 69(2_Supplement). 6045–6045. 5 indexed citations
9.
Lane, Nancy E., Ke Lian, Michael C. Nevitt, et al.. (2006). Frizzled‐related protein variants are risk factors for hip osteoarthritis. Arthritis & Rheumatism. 54(4). 1246–1254. 96 indexed citations
10.
Cohen, Emily, Angelique C.M. Jansen, S. Matthijs Boekholdt, et al.. (2005). Genetic determinants of plasma HDL-cholesterol levels in familial hypercholesterolemia. European Journal of Human Genetics. 13(10). 1137–1142. 22 indexed citations
11.
Jansen, Angelique C.M., Emily Cohen, Michael W.T. Tanck, et al.. (2005). Genetic Determinants of Cardiovascular Disease Risk in Familial Hypercholesterolemia. Arteriosclerosis Thrombosis and Vascular Biology. 25(7). 1475–1481. 46 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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