Gregor M. Balaburski

528 total citations
10 papers, 433 citations indexed

About

Gregor M. Balaburski is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Gregor M. Balaburski has authored 10 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Oncology. Recurrent topics in Gregor M. Balaburski's work include Endoplasmic Reticulum Stress and Disease (4 papers), Heat shock proteins research (4 papers) and Autophagy in Disease and Therapy (3 papers). Gregor M. Balaburski is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (4 papers), Heat shock proteins research (4 papers) and Autophagy in Disease and Therapy (3 papers). Gregor M. Balaburski collaborates with scholars based in United States, Switzerland and Germany. Gregor M. Balaburski's co-authors include Maureen E. Murphy, Robert D. Hontz, Che-Pei Kung, Marika Bergenstock, Tim J. Yen, Neil Beeharry, Julia I-Ju Leu, Donna L. George, Anna Budina-Kolomets and Jessie Villanueva and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and Trends in Cell Biology.

In The Last Decade

Gregor M. Balaburski

10 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregor M. Balaburski United States 9 289 181 70 70 69 10 433
Fred Lozy United States 8 297 1.0× 266 1.5× 55 0.8× 117 1.7× 74 1.1× 8 515
Olga Abramczyk United States 13 400 1.4× 110 0.6× 51 0.7× 54 0.8× 91 1.3× 14 536
Annick Notte Belgium 6 268 0.9× 186 1.0× 92 1.3× 185 2.6× 73 1.1× 6 475
Vincenzo Giansanti Italy 10 260 0.9× 142 0.8× 92 1.3× 50 0.7× 31 0.4× 15 435
Kaitlin D. Werle United States 9 386 1.3× 158 0.9× 102 1.5× 147 2.1× 41 0.6× 10 559
Maura McDonnell United States 2 320 1.1× 317 1.8× 70 1.0× 61 0.9× 75 1.1× 4 522
Caroline O. Facey United States 10 274 0.9× 105 0.6× 74 1.1× 89 1.3× 145 2.1× 19 468
Wen-Chi Feng Taiwan 7 371 1.3× 127 0.7× 115 1.6× 144 2.1× 63 0.9× 9 597
David Schlütermann Germany 12 376 1.3× 210 1.2× 42 0.6× 155 2.2× 65 0.9× 13 590
Tracey R. O’Donovan Ireland 5 353 1.2× 357 2.0× 85 1.2× 139 2.0× 59 0.9× 5 541

Countries citing papers authored by Gregor M. Balaburski

Since Specialization
Citations

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

Fields of papers citing papers by Gregor M. Balaburski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregor M. Balaburski. 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 Gregor M. Balaburski. The network helps show where Gregor M. Balaburski may publish in the future.

Co-authorship network of co-authors of Gregor M. Balaburski

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

All Works

10 of 10 papers shown
2.
Balaburski, Gregor M., Julia I-Ju Leu, Neil Beeharry, et al.. (2013). A Modified HSP70 Inhibitor Shows Broad Activity as an Anticancer Agent. Molecular Cancer Research. 11(3). 219–229. 80 indexed citations
3.
Budina-Kolomets, Anna, et al.. (2013). Comparison of the activity of three different HSP70 inhibitors on apoptosis, cell cycle arrest, autophagy inhibition, and HSP90 inhibition. Cancer Biology & Therapy. 15(2). 194–199. 40 indexed citations
4.
Lum, Michelle A., Gregor M. Balaburski, Maureen E. Murphy, Adrian R. Black, & Jennifer D. Black. (2013). Heat Shock Proteins Regulate Activation-induced Proteasomal Degradation of the Mature Phosphorylated Form of Protein Kinase C. Journal of Biological Chemistry. 288(38). 27112–27127. 17 indexed citations
5.
Balaburski, Gregor M., Julia I-Ju Leu, Mark Andrake, et al.. (2012). Abstract 3793: Characterization of the mechanism of action of a novel small molecule inhibitor of HSP70. Cancer Research. 72(8_Supplement). 3793–3793. 1 indexed citations
6.
Kung, Che-Pei, et al.. (2011). Autophagy in tumor suppression and cancer therapy. Critical Reviews in Eukaryotic Gene Expression. 21(1). 71–100. 141 indexed citations
7.
Balaburski, Gregor M., Robert D. Hontz, & Maureen E. Murphy. (2010). p53 and ARF: unexpected players in autophagy. Trends in Cell Biology. 20(6). 363–369. 90 indexed citations
8.
Whibley, Catherine, Adam F. Odell, Tatiana Nedelko, et al.. (2010). Wild-type and Hupki (Human p53 Knock-in) Murine Embryonic Fibroblasts. Journal of Biological Chemistry. 285(15). 11326–11335. 28 indexed citations
10.
Balaburski, Gregor M. & John O’Connor. (2003). Determination of variations in gene expression during fracture healing. Acta Orthopaedica Scandinavica. 74(1). 22–30. 9 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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