Laurel T. Bate-Eya

611 total citations
8 papers, 471 citations indexed

About

Laurel T. Bate-Eya is a scholar working on Molecular Biology, Neurology and Oncology. According to data from OpenAlex, Laurel T. Bate-Eya has authored 8 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Neurology and 1 paper in Oncology. Recurrent topics in Laurel T. Bate-Eya's work include Neuroblastoma Research and Treatments (6 papers), Cell death mechanisms and regulation (3 papers) and Protein Degradation and Inhibitors (2 papers). Laurel T. Bate-Eya is often cited by papers focused on Neuroblastoma Research and Treatments (6 papers), Cell death mechanisms and regulation (3 papers) and Protein Degradation and Inhibitors (2 papers). Laurel T. Bate-Eya collaborates with scholars based in Netherlands, Finland and Australia. Laurel T. Bate-Eya's co-authors include Emilia Peuhu, Jessica M. Rosenholm, Mika Lindén, Cecilia Sahlgren, John Eriksson, Lotta Bergman, Veronika Mamaeva, Sebastian K.-J. Landor, Alain Duchanoy and Diana M. Toivola and has published in prestigious journals such as PLoS ONE, Small and European Journal of Cancer.

In The Last Decade

Laurel T. Bate-Eya

8 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Laurel T. Bate-Eya Netherlands	7	214	198	164	103	85	8	471
Suo-Qin Tang China	12	295 1.4×	241 1.2×	208 1.3×	58 0.6×	91 1.1×	41	570
Tingzhong Wang China	8	143 0.7×	201 1.0×	245 1.5×	77 0.7×	34 0.4×	18	457
Yue Geng United States	11	221 1.0×	173 0.9×	298 1.8×	58 0.6×	173 2.0×	19	629
Tarun Ojha India	9	222 1.0×	413 2.1×	534 3.3×	134 1.3×	66 0.8×	31	840
Tanner K. Hill United States	10	146 0.7×	186 0.9×	261 1.6×	73 0.7×	39 0.5×	11	516
Chuang Gao China	7	155 0.7×	292 1.5×	385 2.3×	106 1.0×	31 0.4×	9	556
Xingsu Yu China	13	338 1.6×	280 1.4×	280 1.7×	101 1.0×	80 0.9×	19	705
Sanja Dimitrijevic Serbia	9	142 0.7×	199 1.0×	300 1.8×	81 0.8×	128 1.5×	14	596
Miguel Ferreira Italy	15	199 0.9×	260 1.3×	279 1.7×	190 1.8×	38 0.4×	32	723
Gee Young Lee United States	8	149 0.7×	281 1.4×	245 1.5×	72 0.7×	112 1.3×	11	507

Countries citing papers authored by Laurel T. Bate-Eya

Since Specialization

Citations

This map shows the geographic impact of Laurel T. Bate-Eya'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 Laurel T. Bate-Eya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurel T. Bate-Eya more than expected).

Fields of papers citing papers by Laurel T. Bate-Eya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laurel T. Bate-Eya. 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 Laurel T. Bate-Eya. The network helps show where Laurel T. Bate-Eya may publish in the future.

Co-authorship network of co-authors of Laurel T. Bate-Eya

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

All Works

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8 of 8 papers shown

Bate-Eya, Laurel T., Simon M. Carr, Amit Shrestha, et al.. (2024). Sustained cancer‐relevant alternative RNA splicing events driven by PRMT5 in high‐risk neuroblastoma. Molecular Oncology. 19(3). 741–763. 1 indexed citations

Bate-Eya, Laurel T., Lindy K. Alles, Linda Schild, et al.. (2021). High-Throughput Screening Identifies Idasanutlin as a Resensitizing Drug for Venetoclax-Resistant Neuroblastoma Cells. Molecular Cancer Therapeutics. 20(6). 1161–1172. 9 indexed citations

Bate-Eya, Laurel T., Hinco J. Gierman, Marli E. Ebus, et al.. (2017). Enhancer of zeste homologue 2 plays an important role in neuroblastoma cell survival independent of its histone methyltransferase activity. European Journal of Cancer. 75. 63–72. 27 indexed citations

Bate-Eya, Laurel T., Linda Schild, Jan Köster, et al.. (2016). High efficacy of the BCL-2 inhibitor ABT199 (venetoclax) in BCL-2 high-expressing neuroblastoma cell lines and xenografts and rational for combination with MCL-1 inhibition. Oncotarget. 7(19). 27946–27958. 43 indexed citations

Dolman, M. Emmy M., Jan Köster, Laurel T. Bate-Eya, et al.. (2015). DNA-Dependent Protein Kinase As Molecular Target for Radiosensitization of Neuroblastoma Cells. PLoS ONE. 10(12). e0145744–e0145744. 22 indexed citations

Bate-Eya, Laurel T., Marli E. Ebus, Jan Köster, et al.. (2013). Newly-derived neuroblastoma cell lines propagated in serum-free media recapitulate the genotype and phenotype of primary neuroblastoma tumours. European Journal of Cancer. 50(3). 628–637. 44 indexed citations

Mamaeva, Veronika, Jessica M. Rosenholm, Laurel T. Bate-Eya, et al.. (2011). Mesoporous Silica Nanoparticles as Drug Delivery Systems for Targeted Inhibition of Notch Signaling in Cancer. Molecular Therapy. 19(8). 1538–1546. 181 indexed citations

Rosenholm, Jessica M., Emilia Peuhu, Laurel T. Bate-Eya, et al.. (2010). Cancer‐Cell‐Specific Induction of Apoptosis Using Mesoporous Silica Nanoparticles as Drug‐Delivery Vectors. Small. 6(11). 1234–1241. 144 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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