Elda Grabocka

5.0k total citations · 3 hit papers
20 papers, 3.8k citations indexed

About

Elda Grabocka is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Elda Grabocka has authored 20 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Cell Biology and 8 papers in Oncology. Recurrent topics in Elda Grabocka's work include Cancer-related Molecular Pathways (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and RNA Research and Splicing (4 papers). Elda Grabocka is often cited by papers focused on Cancer-related Molecular Pathways (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and RNA Research and Splicing (4 papers). Elda Grabocka collaborates with scholars based in United States, Italy and Austria. Elda Grabocka's co-authors include Dafna Bar‐Sagi, Yuliya Pylayeva‐Gupta, Cosimo Commisso, Joshua D. Rabinowitz, Michel Nofal, Jeffrey A. Drebin, Matthew G. Vander Heiden, Craig B. Thompson, Jurre J. Kamphorst and Sean R. Hackett and has published in prestigious journals such as Nature, Cell and Journal of Clinical Oncology.

In The Last Decade

Elda Grabocka

20 papers receiving 3.7k citations

Hit Papers

RAS oncogenes: weaving a tumorigenic web 2011 2026 2016 2021 2011 2013 2015 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elda Grabocka United States 13 2.6k 1.2k 1.1k 621 303 20 3.8k
Cosimo Commisso United States 16 1.9k 0.7× 1.1k 1.0× 765 0.7× 680 1.1× 288 1.0× 31 3.0k
Dimitris Athineos United Kingdom 26 2.6k 1.0× 996 0.9× 1.2k 1.1× 330 0.5× 445 1.5× 36 3.7k
Ya’an Kang United States 31 2.2k 0.8× 1.7k 1.4× 1.4k 1.3× 366 0.6× 576 1.9× 53 3.9k
Silvia Di Agostino Italy 35 2.5k 1.0× 1.0k 0.9× 1.4k 1.3× 629 1.0× 164 0.5× 66 3.6k
Margaret Ashcroft United Kingdom 34 3.2k 1.2× 1.7k 1.5× 1.7k 1.5× 318 0.5× 397 1.3× 58 4.6k
Sandra E. Dunn Canada 43 3.5k 1.3× 1.1k 1.0× 1.5k 1.4× 441 0.7× 339 1.1× 99 5.1k
Kaustubh Datta United States 33 2.0k 0.8× 787 0.7× 827 0.7× 373 0.6× 350 1.2× 75 3.1k
Kian‐Huat Lim United States 29 2.4k 0.9× 752 0.6× 1.6k 1.4× 400 0.6× 781 2.6× 97 4.2k
Youyong Lu China 35 2.8k 1.1× 1.5k 1.3× 1.4k 1.2× 242 0.4× 358 1.2× 122 4.4k
Lixin Wan United States 37 3.5k 1.3× 746 0.6× 1.3k 1.2× 783 1.3× 450 1.5× 66 4.3k

Countries citing papers authored by Elda Grabocka

Since Specialization
Citations

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

Fields of papers citing papers by Elda Grabocka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elda Grabocka

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

All Works

20 of 20 papers shown
1.
Grabocka, Elda, et al.. (2023). Stress granules and hormetic adaptation of cancer. Trends in cancer. 9(12). 995–1005. 27 indexed citations
2.
Heinrich, Stefan, et al.. (2022). Stress Granules Determine the Development of Obesity-Associated Pancreatic Cancer. Cancer Discovery. 12(8). 1984–2005. 43 indexed citations
3.
Aplin, Andrew E., et al.. (2022). RAS-mediated tumor stress adaptation and the targeting opportunities it presents. Disease Models & Mechanisms. 15(2). 6 indexed citations
4.
Song, Minseok & Elda Grabocka. (2020). Stress Granules in Cancer. Reviews of physiology, biochemistry and pharmacology. 185. 25–52. 45 indexed citations
5.
Irollo, Elena, et al.. (2018). Evaluating Stress Granules in Pancreatic Cancer In Vitro and In Vivo. Methods in molecular biology. 1882. 183–195. 7 indexed citations
6.
Cohen, Deirdre Jill, Elda Grabocka, Dafna Bar‐Sagi, Robert Godin, & Lawrence P. Leichman. (2017). A phase Ib study combining irinotecan with AZD1775, a selective WEE 1 kinase inhibitor, in RAS/RAF mutated metastatic colorectal cancer patients who progressed on first line therapy.. Journal of Clinical Oncology. 35(15_suppl). TPS3627–TPS3627. 5 indexed citations
7.
Grabocka, Elda, et al.. (2016). Histological Image Processing Features Induce a Quantitative Characterization of Chronic Tumor Hypoxia. PLoS ONE. 11(4). e0153623–e0153623. 7 indexed citations
8.
Grabocka, Elda & Dafna Bar‐Sagi. (2016). Mutant KRAS Enhances Tumor Cell Fitness by Upregulating Stress Granules. Cell. 167(7). 1803–1813.e12. 147 indexed citations
9.
Kamphorst, Jurre J., Michel Nofal, Cosimo Commisso, et al.. (2015). Human Pancreatic Cancer Tumors Are Nutrient Poor and Tumor Cells Actively Scavenge Extracellular Protein. Cancer Research. 75(3). 544–553. 644 indexed citations breakdown →
10.
Grabocka, Elda, et al.. (2015). Mitotic-dependent phosphorylation of leukemia-associated RhoGEF (LARG) by Cdk1. Cellular Signalling. 28(1). 43–52. 8 indexed citations
11.
Grabocka, Elda, Yuliya Pylayeva‐Gupta, Mathew V. Jones, et al.. (2014). Wild-Type H- and N-Ras Promote Mutant K-Ras-Driven Tumorigenesis by Modulating the DNA Damage Response. Cancer Cell. 25(2). 243–256. 111 indexed citations
12.
Grabocka, Elda, Cosimo Commisso, & Dafna Bar‐Sagi. (2014). Molecular Pathways: Targeting the Dependence of Mutant RAS Cancers on the DNA Damage Response. Clinical Cancer Research. 21(6). 1243–1247. 40 indexed citations
13.
Commisso, Cosimo, Shawn M. Davidson, Seth J. Parker, et al.. (2013). Macropinocytosis of protein is an amino acid supply route in Ras-transformed cells. Nature. 497(7451). 633–637. 1250 indexed citations breakdown →
14.
Martz, Matthew, Elda Grabocka, Neil Beeharry, Tim J. Yen, & Philip Wedegaertner. (2013). Leukemia-associated RhoGEF (LARG) is a novel RhoGEF in cytokinesis and required for the proper completion of abscission. Molecular Biology of the Cell. 24(18). 2785–2794. 21 indexed citations
15.
Commisso, Cosimo, Shawn M. Davidson, Seth J. Parker, et al.. (2013). Macropinocytosis of protein is an amino acid supply route in Ras-transformed cells. RePEc: Research Papers in Economics. 1 indexed citations
16.
Pylayeva‐Gupta, Yuliya, Elda Grabocka, & Dafna Bar‐Sagi. (2011). RAS oncogenes: weaving a tumorigenic web. Nature reviews. Cancer. 11(11). 761–774. 1326 indexed citations breakdown →
17.
Grabocka, Elda & Philip Wedegaertner. (2007). Disruption of Oligomerization Induces Nucleocytoplasmic Shuttling of Leukemia-Associated Rho Guanine-Nucleotide Exchange Factor. Molecular Pharmacology. 72(4). 993–1002. 24 indexed citations
18.
Grabocka, Elda & Philip Wedegaertner. (2005). Functional consequences of Gα13 mutations that disrupt interaction with p115RhoGEF. Oncogene. 24(13). 2155–2165. 18 indexed citations
19.
Grabocka, Elda, et al.. (1999). ANTIBACTERIAL ACTIVITY OF GENTAMICIN AND CIPROFLOXACIN AGAINST GRAM-NEGATIVE BACTERIA: INTERACTIONS WITH PIG AND CALF SERA. Pharmacological Research. 39(4). 321–323. 8 indexed citations
20.
Merlo, Domenico Franco, et al.. (1998). EFFECTS OF CARDIO-PULMONARY BYPASS ON VANCOMYCIN PLASMA CONCENTRATION DECAY. Pharmacological Research. 38(4). 275–278. 25 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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