Petric Kuballa

4.6k total citations
19 papers, 1.8k citations indexed

About

Petric Kuballa is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Petric Kuballa has authored 19 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Epidemiology and 6 papers in Immunology. Recurrent topics in Petric Kuballa's work include Autophagy in Disease and Therapy (11 papers), Ubiquitin and proteasome pathways (4 papers) and Extracellular vesicles in disease (3 papers). Petric Kuballa is often cited by papers focused on Autophagy in Disease and Therapy (11 papers), Ubiquitin and proteasome pathways (4 papers) and Extracellular vesicles in disease (3 papers). Petric Kuballa collaborates with scholars based in United States, United Kingdom and Germany. Petric Kuballa's co-authors include Ramnik J. Xavier, Alan Huett, Mark J. Daly, John D. Rioux, Adam Castoreno, Whitney M. Nolte, Ramnik J. Xavier, Gary Ruvkun, Eyleen J. O’Rourke and David Altshuler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Petric Kuballa

19 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Petric Kuballa United States 16 788 758 458 443 139 19 1.8k
Hossein A. Hamed United States 27 1.1k 1.4× 609 0.8× 209 0.5× 521 1.2× 126 0.9× 45 2.3k
Monique Flacher France 23 700 0.9× 560 0.7× 192 0.4× 871 2.0× 303 2.2× 33 2.3k
Sei Yoshida Japan 23 1.1k 1.5× 566 0.7× 333 0.7× 300 0.7× 238 1.7× 41 2.6k
Naveenan Navaratnam United Kingdom 27 2.0k 2.5× 571 0.8× 210 0.5× 402 0.9× 143 1.0× 43 2.8k
Heiyoung Park United States 19 1.2k 1.5× 376 0.5× 323 0.7× 632 1.4× 77 0.6× 23 2.0k
Craig Stevens United Kingdom 25 1.2k 1.5× 552 0.7× 151 0.3× 246 0.6× 99 0.7× 37 2.1k
Satoshi Yamagoe Japan 27 1.2k 1.5× 463 0.6× 168 0.4× 471 1.1× 132 0.9× 64 2.4k
Peter Schotte Belgium 18 1.4k 1.8× 285 0.4× 130 0.3× 599 1.4× 88 0.6× 22 1.9k
Lucile Espert France 22 802 1.0× 1.2k 1.6× 90 0.2× 671 1.5× 38 0.3× 44 2.3k
Jeffrey A. Heibein Canada 11 983 1.2× 270 0.4× 140 0.3× 711 1.6× 64 0.5× 11 1.7k

Countries citing papers authored by Petric Kuballa

Since Specialization
Citations

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

Fields of papers citing papers by Petric Kuballa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petric Kuballa

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

All Works

19 of 19 papers shown
1.
Khor, Bernard, Kara L. Conway, Moshe Biton, et al.. (2019). Distinct Tissue-Specific Roles for the Disease-Associated Autophagy Genes ATG16L2 and ATG16L1. The Journal of Immunology. 203(7). 1820–1829. 19 indexed citations
2.
Kuballa, Petric, et al.. (2019). Use of CRISPR/Cas9 for the Modification of the Mouse Genome. Methods in molecular biology. 1953. 213–230. 4 indexed citations
3.
Kuballa, Petric, et al.. (2015). Induction of heat shock protein HSPA6 (HSP70B′) upon HSP90 inhibition in cancer cell lines. FEBS Letters. 589(13). 1450–1458. 22 indexed citations
4.
Aldrich, Leslie N., Szu-Yu Kuo, Adam Castoreno, et al.. (2015). Discovery of a Small-Molecule Probe for V-ATPase Function. Journal of the American Chemical Society. 137(16). 5563–5568. 36 indexed citations
5.
Kuo, Szu-Yu, Adam Castoreno, Leslie N. Aldrich, et al.. (2015). Small-molecule enhancers of autophagy modulate cellular disease phenotypes suggested by human genetics. Proceedings of the National Academy of Sciences. 112(31). E4281–7. 58 indexed citations
6.
O’Rourke, Eyleen J., Petric Kuballa, Ramnik J. Xavier, & Gary Ruvkun. (2013). ω-6 Polyunsaturated fatty acids extend life span through the activation of autophagy. Genes & Development. 27(4). 429–440. 141 indexed citations
7.
Conway, Kara L., Petric Kuballa, Bernard Khor, et al.. (2013). ATG5 regulates plasma cell differentiation. Autophagy. 9(4). 528–537. 125 indexed citations
8.
Yuan, Yanggang, et al.. (2013). Gossypol and an HMT G9a inhibitor act in synergy to induce cell death in pancreatic cancer cells. Cell Death and Disease. 4(6). e690–e690. 91 indexed citations
9.
Shaw, Stanley Y., Khoa Tran, Adam Castoreno, et al.. (2013). Selective Modulation of Autophagy, Innate Immunity, and Adaptive Immunity by Small Molecules. ACS Chemical Biology. 8(12). 2724–2733. 49 indexed citations
10.
Kuballa, Petric, Whitney M. Nolte, Adam Castoreno, & Ramnik J. Xavier. (2012). Autophagy and the Immune System. Annual Review of Immunology. 30(1). 611–646. 268 indexed citations
11.
Kuballa, Petric & Ramnik J. Xavier. (2010). Failure and exploitation of autophagy in human pathologies—cellular integrity between inflammation, infection, and cell survival. Seminars in Immunopathology. 32(4). 319–322. 3 indexed citations
12.
Huett, Alan, Aylwin Ng, Zhifang Cao, et al.. (2009). A Novel Hybrid Yeast-Human Network Analysis Reveals an Essential Role for FNBP1L in Antibacterial Autophagy. The Journal of Immunology. 182(8). 4917–4930. 42 indexed citations
13.
Kuballa, Petric, Alan Huett, John D. Rioux, Mark J. Daly, & Ramnik J. Xavier. (2008). Impaired Autophagy of an Intracellular Pathogen Induced by a Crohn's Disease Associated ATG16L1 Variant. PLoS ONE. 3(10). e3391–e3391. 249 indexed citations
14.
McCarroll, Steven A., Alan Huett, Petric Kuballa, et al.. (2008). Deletion polymorphism upstream of IRGM associated with altered IRGM expression and Crohn's disease. Nature Genetics. 40(9). 1107–1112. 497 indexed citations
15.
Cao, Zhifang, Alan Huett, Petric Kuballa, Cosmas Giallourakis, & Ramnik J. Xavier. (2007). DLG1 is an anchor for the E3 ligase MARCH2 at sites of cell–cell contact. Cellular Signalling. 20(1). 73–82. 28 indexed citations
16.
Kuballa, Petric, Konstantin Matentzoglu, & Martin Scheffner. (2006). The Role of the Ubiquitin Ligase E6-AP in Human Papillomavirus E6-mediated Degradation of PDZ Domain-containing Proteins. Journal of Biological Chemistry. 282(1). 65–71. 54 indexed citations
17.
Hengstermann, Arnd, et al.. (2005). Growth Suppression Induced by Downregulation of E6-AP Expression in Human Papillomavirus-Positive Cancer Cell Lines Depends on p53. Journal of Virology. 79(14). 9296–9300. 41 indexed citations
18.
Kuballa, Petric, et al.. (2004). Porcine purple acid phosphatase: heterologous expression, characterization, and proteolytic analysis. Archives of Biochemistry and Biophysics. 432(1). 25–36. 10 indexed citations
19.

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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