Sergio Y. Alcoser

645 total citations
8 papers, 440 citations indexed

About

Sergio Y. Alcoser is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Sergio Y. Alcoser has authored 8 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Sergio Y. Alcoser's work include Cancer Cells and Metastasis (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Ovarian function and disorders (2 papers). Sergio Y. Alcoser is often cited by papers focused on Cancer Cells and Metastasis (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Ovarian function and disorders (2 papers). Sergio Y. Alcoser collaborates with scholars based in United States and Israel. Sergio Y. Alcoser's co-authors include Manami Hara, Graeme I. Bell, Vytas P. Bindokas, Mark A. Magnuson, Xiaoyu Wang, Toshihiko Kawamura, David A. Ehrmann, Kristina K. Beiswenger, Nancy J. Cox and Suzanne Borgel and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Cancer Research.

In The Last Decade

Sergio Y. Alcoser

8 papers receiving 435 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergio Y. Alcoser United States 6 243 190 172 105 56 8 440
Carolina Rosselot United States 13 168 0.7× 253 1.3× 120 0.7× 64 0.6× 31 0.6× 18 425
Stacey E. Wirt United States 8 177 0.7× 225 1.2× 128 0.7× 68 0.6× 9 0.2× 9 406
Catarina Darnfors Sweden 15 162 0.7× 213 1.1× 164 1.0× 169 1.6× 47 0.8× 18 503
Patricia Vergani United Kingdom 11 145 0.6× 135 0.7× 75 0.4× 167 1.6× 25 0.4× 17 535
Milena Doroszko Finland 11 45 0.2× 160 0.8× 65 0.4× 89 0.8× 107 1.9× 24 370
Derek P. Simon United States 6 138 0.6× 158 0.8× 93 0.5× 120 1.1× 12 0.2× 6 339
Ingela Bergqvist Sweden 10 85 0.3× 160 0.8× 81 0.5× 24 0.2× 38 0.7× 13 313
Amanda Mawson Australia 12 78 0.3× 307 1.6× 73 0.4× 31 0.3× 18 0.3× 15 516
Éva Juhász Hungary 10 78 0.3× 100 0.5× 61 0.4× 24 0.2× 15 0.3× 20 324
Aaron J. Knox United States 12 67 0.3× 169 0.9× 48 0.3× 107 1.0× 6 0.1× 17 396

Countries citing papers authored by Sergio Y. Alcoser

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Y. Alcoser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergio Y. Alcoser. 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 Sergio Y. Alcoser. The network helps show where Sergio Y. Alcoser may publish in the future.

Co-authorship network of co-authors of Sergio Y. Alcoser

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

All Works

8 of 8 papers shown
1.
Touny, Lara H. El, Curtis Hose, John Connelly, et al.. (2021). ATR inhibition reverses the resistance of homologous recombination deficient MGMTlow/MMRproficient cancer cells to temozolomide. Oncotarget. 12(21). 2114–2130. 8 indexed citations
2.
Navas, Tony, Thomas D. Pfister, Simona Colantonio, et al.. (2018). Novel antibody reagents for characterization of drug- and tumor microenvironment-induced changes in epithelial-mesenchymal transition and cancer stem cells. PLoS ONE. 13(6). e0199361–e0199361. 9 indexed citations
3.
Navas, Tony, Thomas D. Pfister, Scott M. Lawrence, et al.. (2015). Abstract 5082: Impact of HGF knockin microenvironment on epithelial-mesenchymal transition and cancer stem cells in a non-small cell lung cancer xenograft model. Cancer Research. 75(15_Supplement). 5082–5082. 1 indexed citations
4.
Hollingshead, Melinda G., Luke H. Stockwin, Sergio Y. Alcoser, et al.. (2014). Gene expression profiling of 49 human tumor xenografts from in vitro culture through multiple in vivo passages - strategies for data mining in support of therapeutic studies. BMC Genomics. 15(1). 393–393. 26 indexed citations
5.
Alcoser, Sergio Y., et al.. (2011). Real-time PCR-based assay to quantify the relative amount of human and mouse tissue present in tumor xenografts. BMC Biotechnology. 11(1). 124–124. 52 indexed citations
6.
Alcoser, Sergio Y., Manami Hara, Graeme I. Bell, & David A. Ehrmann. (2004). Association of the (AU)AT-Rich Element Polymorphism inPPP1R3with Hormonal and Metabolic Features of Polycystic Ovary Syndrome. The Journal of Clinical Endocrinology & Metabolism. 89(6). 2973–2976. 4 indexed citations
7.
Hara, Manami, Xiaoyu Wang, Toshihiko Kawamura, et al.. (2003). Transgenic mice with green fluorescent protein-labeled pancreatic β-cells. American Journal of Physiology-Endocrinology and Metabolism. 284(1). E177–E183. 262 indexed citations
8.
Hara, Manami, et al.. (2002). Insulin Resistance Is Attenuated in Women with Polycystic Ovary Syndrome with the Pro12Ala Polymorphism in the PPARγ Gene. The Journal of Clinical Endocrinology & Metabolism. 87(2). 772–775. 78 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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