Olga Tayber

1.6k total citations
11 papers, 815 citations indexed

About

Olga Tayber is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Olga Tayber has authored 11 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Olga Tayber's work include Ubiquitin and proteasome pathways (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Cancer-related Molecular Pathways (2 papers). Olga Tayber is often cited by papers focused on Ubiquitin and proteasome pathways (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Cancer-related Molecular Pathways (2 papers). Olga Tayber collaborates with scholars based in United States and Japan. Olga Tayber's co-authors include Keith Robison, John Bertin, Peter S. DiStefano, Jessica R. Grant, G H Wong, Keith R. Anderson, Barbara A. Sampson, Dean Falb, James N. Topper and YongYao Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Cancer Research.

In The Last Decade

Olga Tayber

11 papers receiving 801 citations

Peers

Olga Tayber

MB

IMMUN

ONCOL

EPIDE

CR

Seon-Ah Ha South Korea

Zongshu Luo Canada

Yann Estornes France

Mark Masin Switzerland

Jane M. Turbov United States

Allon Canaan United States

Konstantin Bogdanov Russia

Takeshi Otani Japan

Susan D. Mertins United States

Dubravka Cvejić Serbia

Seon-Ah Ha South Korea

Olga Tayber

447 ×0.8

MB

304 ×1.2

IMMUN

180 ×1.5

ONCOL

113 ×1.1

EPIDE

124 ×1.3

CR

Citations per year, relative to Olga Tayber Olga Tayber (= 1×) peers Seon-Ah Ha

Countries citing papers authored by Olga Tayber

Since Specialization

Citations

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

Fields of papers citing papers by Olga Tayber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olga Tayber

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

All Works

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11 of 11 papers shown

1.

Sato, Yosuke, Cierra N. Casson, Atsushi Matsuda, et al.. (2022). Fc-independent functions of anti-CTLA-4 antibodies contribute to anti-tumor efficacy. Cancer Immunology Immunotherapy. 71(10). 2421–2431. 20 indexed citations

2.

Zhang, Wenhai, et al.. (2016). An ultrasensitive assay format for detecting ULK1 inhibition by monitoring the phosphorylation status of Atg13. Analytical Biochemistry. 509. 73–78. 1 indexed citations

3.

Mandelbaum, Jonathan, Pooja Shah, Doug Bowman, et al.. (2015). Identification of a lung cancer cell line deficient in atg7-dependent autophagy. Autophagy. 0–0. 35 indexed citations

4.

Blank, Jonathan L., Katherine Cosmopoulos, David C. Bouck, et al.. (2012). Novel DNA Damage Checkpoints Mediating Cell Death Induced by the NEDD8-Activating Enzyme Inhibitor MLN4924. Cancer Research. 73(1). 225–234. 85 indexed citations

5.

Bembenek, Michael E., Anne L. Burkhardt, Jingya Ma, et al.. (2010). Determination of complementary antibody pairs using protein A capture with the AlphaScreen assay format. Analytical Biochemistry. 408(2). 321–327. 12 indexed citations

6.

Burkhardt, Anne L., Jie Yu, Olga Tayber, et al.. (2010). Analysis of two pharmacodynamic biomarkers using acoustic micro magnetic particles on the ViBE bioanalyzer. Analytical Biochemistry. 410(1). 13–18. 10 indexed citations

7.

Bruzzese, Frank J., Christopher Tsu, Jingya Ma, et al.. (2009). Development of a charcoal paper adenosine triphosphate:pyrophosphate exchange assay: Kinetic characterization of NEDD8 activating enzyme. Analytical Biochemistry. 394(1). 24–29. 12 indexed citations

8.

Liu, Fang, J. Gonzalo, Stephen Manning, et al.. (2005). Pharmacological characterization of guinea pig chemoattractant receptor-homologous molecule expressed on Th2 cells (CRTH2). Prostaglandins & Other Lipid Mediators. 76(1-4). 133–147. 6 indexed citations

9.

Xu, Haiyan, Marlene Dembski, Qing Yang, et al.. (2003). Dual Specificity Mitogen-activated Protein (MAP) Kinase Phosphatase-4 Plays a Potential Role in Insulin Resistance. Journal of Biological Chemistry. 278(32). 30187–30192. 53 indexed citations

10.

Bertin, John, Olga Tayber, Jessica R. Grant, et al.. (1999). Human CARD4 Protein Is a Novel CED-4/Apaf-1 Cell Death Family Member That Activates NF-κB. Journal of Biological Chemistry. 274(19). 12955–12958. 301 indexed citations

11.

Topper, James N., Jiexing Cai, Yubin Qiu, et al.. (1997). Vascular MAD s: Two novel MAD -related genes selectively inducible by flow in human vascular endothelium. Proceedings of the National Academy of Sciences. 94(17). 9314–9319. 280 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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