Julia Krushkal

3.1k total citations
72 papers, 2.3k citations indexed

About

Julia Krushkal is a scholar working on Molecular Biology, Genetics and Environmental Engineering. According to data from OpenAlex, Julia Krushkal has authored 72 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 17 papers in Genetics and 16 papers in Environmental Engineering. Recurrent topics in Julia Krushkal's work include Microbial Fuel Cells and Bioremediation (16 papers), Epigenetics and DNA Methylation (15 papers) and Microbial Community Ecology and Physiology (10 papers). Julia Krushkal is often cited by papers focused on Microbial Fuel Cells and Bioremediation (16 papers), Epigenetics and DNA Methylation (15 papers) and Microbial Community Ecology and Physiology (10 papers). Julia Krushkal collaborates with scholars based in United States, Malaysia and Mexico. Julia Krushkal's co-authors include Wen‐Hsiung Li, Ronald M. Adkins, Eric Boerwinkle, Frances A. Tylavsky, Darrell L. Ellsworth, Benny Hung‐Junn Chang, David Hewett‐Emmett, Derek R. Lovley, Robert E. Ferrell and Charles F. Sing and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Oncology.

In The Last Decade

Julia Krushkal

71 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia Krushkal United States 24 1.1k 576 245 245 239 72 2.3k
Walter Deutsch United States 30 2.3k 2.0× 252 0.4× 66 0.3× 86 0.4× 91 0.4× 65 4.3k
Katerina Kechris United States 33 2.0k 1.7× 403 0.7× 75 0.3× 440 1.8× 29 0.1× 151 3.7k
J A Ortíz Spain 29 1.5k 1.3× 368 0.6× 95 0.4× 284 1.2× 17 0.1× 169 3.4k
Aihua Gu China 31 1.1k 1.0× 368 0.6× 82 0.3× 235 1.0× 18 0.1× 126 3.3k
Helena Elding Larsson Sweden 41 1.1k 1.0× 2.0k 3.5× 82 0.3× 140 0.6× 35 0.1× 173 5.0k
Barbara J. Davis United States 34 1.0k 0.9× 658 1.1× 28 0.1× 268 1.1× 24 0.1× 97 4.1k
Shiqing Zhang China 25 782 0.7× 70 0.1× 59 0.2× 196 0.8× 36 0.2× 152 2.3k
Jung Hyun Lee South Korea 26 1.2k 1.1× 162 0.3× 41 0.2× 69 0.3× 23 0.1× 133 2.7k
Jens Hansen Denmark 38 1.1k 1.0× 466 0.8× 148 0.6× 333 1.4× 10 0.0× 103 4.0k

Countries citing papers authored by Julia Krushkal

Since Specialization
Citations

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

Fields of papers citing papers by Julia Krushkal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Krushkal

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Krushkal. A scholar is included among the top collaborators of Julia Krushkal 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 Julia Krushkal. Julia Krushkal 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.
2.
Konaté, Mariam M., Julia Krushkal, Li Chen, et al.. (2024). Insights into gemcitabine resistance in pancreatic cancer: association with metabolic reprogramming and TP53 pathogenicity in patient derived xenografts. Journal of Translational Medicine. 22(1). 733–733. 3 indexed citations
3.
Krushkal, Julia, Yingdong Zhao, Weimin Zhu, et al.. (2024). Association of changes in expression of HDAC and SIRT genes after drug treatment with cancer cell line sensitivity to kinase inhibitors. Epigenetics. 19(1). 2309824–2309824. 2 indexed citations
4.
McShane, Lisa M., et al.. (2022). Pharmacogenomics of in vitro response of the NCI-60 cancer cell line panel to Indian natural products. BMC Cancer. 22(1). 512–512. 5 indexed citations
5.
Palmisano, Alida, et al.. (2021). Association of expression of epigenetic molecular factors with DNA methylation and sensitivity to chemotherapeutic agents in cancer cell lines. Clinical Epigenetics. 13(1). 49–49. 19 indexed citations
6.
Tlemsani, Camille, Lőrinc Sándor Pongor, Fathi Elloumi, et al.. (2020). SCLC-CellMiner: A Resource for Small Cell Lung Cancer Cell Line Genomics and Pharmacology Based on Genomic Signatures. Cell Reports. 33(3). 108296–108296. 92 indexed citations
7.
Evans, David M., Jianwen Fang, Thomas Silvers, et al.. (2019). Exposure time versus cytotoxicity for anticancer agents. Cancer Chemotherapy and Pharmacology. 84(2). 359–371. 22 indexed citations
8.
Adkins, Ronald M., Fridtjof Thomas, Frances A. Tylavsky, & Julia Krushkal. (2011). Parental ages and levels of DNA methylation in the newborn are correlated. BMC Medical Genetics. 12(1). 47–47. 74 indexed citations
9.
10.
Krushkal, Julia, Bin Yan, Kelly P. Nevin, et al.. (2007). Genome-wide expression profiling in Geobacter sulfurreducens: identification of Fur and RpoS transcription regulatory sites in a rel Gsu mutant. Functional & Integrative Genomics. 7(3). 229–255. 21 indexed citations
11.
Adkins, Ronald M., et al.. (2007). Site −2548 of the leptin gene is associated with gender-specific trends in newborn size and cord leptin levels. International Journal of Pediatric Obesity. 2(3). 130–137. 6 indexed citations
12.
Park, Vicki M., et al.. (2007). Hepatitis C Hypervariable Region 1: Association of Reduced Selection Pressure in African Americans with Treatment Failure. Digestive Diseases and Sciences. 52(10). 2540–2549. 2 indexed citations
13.
Adkins, R. M., Julia Krushkal, Chad K. Klauser, et al.. (2007). Association between small for gestational age and paternally inherited 5′ insulin haplotypes. International Journal of Obesity. 32(2). 372–380. 15 indexed citations
14.
Yan, Bin, Cinthia Núñez, Toshiyuki Ueki, et al.. (2006). Computational prediction of RpoS and RpoD regulatory sites in Geobacter sulfurreducens using sequence and gene expression information. Gene. 384. 73–95. 25 indexed citations
15.
Krushkal, Julia, et al.. (2005). Evolutionary history of orthopoxvirus proteins similar to human complement regulators. Gene. 355. 40–47. 15 indexed citations
16.
Yan, Bin, Barbara A. Methé, Derek R. Lovley, & Julia Krushkal. (2004). Computational prediction of conserved operons and phylogenetic footprinting of transcription regulatory elements in the metal-reducing bacterial family Geobacteraceae. Journal of Theoretical Biology. 230(1). 133–144. 23 indexed citations
17.
Mannen, Hideyuki, et al.. (1997). The cDNA cloning and molecular evolution of reptile and pigeon lactate dehydrogenase isozymes. Molecular Biology and Evolution. 14(11). 1081–1087. 35 indexed citations
18.
Nakamuta, Makoto, Kazuhiro Oka, Julia Krushkal, et al.. (1995). Alternative mRNA Splicing and Differential Promoter Utilization Determine Tissue-specific Expression of the Apolipoprotein B mRNA-editing Protein (Apobec1) Gene in Mice.. Journal of Biological Chemistry. 270(22). 13042–13056. 86 indexed citations
19.
Oka, Kazuhiro, Kazumi Ishimura‐Oka, Merry Sullivan, et al.. (1994). Mouse Very‐Low‐Density‐Lipoprotein Receptor (VLDLR) cDNA Cloning, Tissue‐specific Expression and Evolutionary Relationship with the Low‐density‐lipoprotein Receptor. European Journal of Biochemistry. 224(3). 975–982. 96 indexed citations
20.
Zharkikh, Andrey, et al.. (1991). VOSTORG: a package of microcomputer programs for sequence analysis and construction of phylogenetic trees. Gene. 101(2). 251–254. 61 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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