Prerna Malaney

1.0k total citations
19 papers, 718 citations indexed

About

Prerna Malaney is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Prerna Malaney has authored 19 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Immunology. Recurrent topics in Prerna Malaney's work include PI3K/AKT/mTOR signaling in cancer (8 papers), RNA Research and Splicing (4 papers) and Acute Myeloid Leukemia Research (3 papers). Prerna Malaney is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (8 papers), RNA Research and Splicing (4 papers) and Acute Myeloid Leukemia Research (3 papers). Prerna Malaney collaborates with scholars based in United States, Russia and Germany. Prerna Malaney's co-authors include Vrushank Davé, Vladimir N. Uversky, Santo V. Nicosia, Ravi Ramesh Pathak, Lilia M. Iakoucheva, Steven J. Metallo, Andreas C. Joerger, Bin Xue, Diane Allen‐Gipson and Sean M. Post and has published in prestigious journals such as Chemical Reviews, Journal of Biological Chemistry and Blood.

In The Last Decade

Prerna Malaney

18 papers receiving 705 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prerna Malaney United States 9 491 156 114 70 64 19 718
Johannes Ottl Switzerland 19 731 1.5× 192 1.2× 194 1.7× 57 0.8× 81 1.3× 32 1.1k
Christopher J. Giuliano United States 8 662 1.3× 144 0.9× 81 0.7× 73 1.0× 38 0.6× 12 920
R. Overman United Kingdom 14 688 1.4× 88 0.6× 137 1.2× 91 1.3× 29 0.5× 20 842
Atish Mohanty United States 16 355 0.7× 218 1.4× 101 0.9× 88 1.3× 26 0.4× 43 661
Françoise Perron‐Sierra France 14 517 1.1× 135 0.9× 108 0.9× 107 1.5× 23 0.4× 22 925
Almer M. van der Sloot Spain 20 848 1.7× 186 1.2× 94 0.8× 210 3.0× 44 0.7× 36 1.1k
Archis Bagati United States 12 342 0.7× 127 0.8× 68 0.6× 90 1.3× 24 0.4× 15 588
Jyotica Batra United States 8 350 0.7× 162 1.0× 165 1.4× 33 0.5× 94 1.5× 10 542
Catherine Tang United States 12 602 1.2× 201 1.3× 73 0.6× 89 1.3× 41 0.6× 16 1.1k
Marta Mendes Portugal 17 546 1.1× 233 1.5× 143 1.3× 120 1.7× 22 0.3× 31 949

Countries citing papers authored by Prerna Malaney

Since Specialization
Citations

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

Fields of papers citing papers by Prerna Malaney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prerna Malaney

This figure shows the co-authorship network connecting the top 25 collaborators of Prerna Malaney. A scholar is included among the top collaborators of Prerna Malaney 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 Prerna Malaney. Prerna Malaney 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.
Abdallah, Ali T., Lin Gan, Shelley M. Herbrich, et al.. (2023). Insight into the mechanism of AML del(9q) progression: hnRNP K targets the myeloid master regulators CEBPA (C/EBPα) and SPI1 (PU.1). Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1867(1). 195004–195004. 2 indexed citations
3.
Malaney, Prerna, Xiaorui Zhang, Shelley M. Herbrich, et al.. (2022). Heterogeneous nuclear ribonucleoprotein K is overexpressed in acute myeloid leukemia and causes myeloproliferation in mice via altered Runx1 splicing. NAR Cancer. 4(4). zcac039–zcac039. 8 indexed citations
4.
Thege, Fredrik I., Vidhi Chandra, Robert W. Cowan, et al.. (2022). Adar1 deletion causes degeneration of the exocrine pancreas via Mavs-dependent interferon signaling. Development. 150(2). 2 indexed citations
5.
Malaney, Prerna, et al.. (2022). Assessing the role of intrinsic disorder in RNA-binding protein function: hnRNP K as a case study. Methods. 208. 59–65. 5 indexed citations
6.
Kong, Jennifer H., Claudia G. Vasquez, Sweta Agrawal, et al.. (2022). Creating accessibility in academic negotiations. Trends in Biochemical Sciences. 48(3). 203–210. 1 indexed citations
7.
Malaney, Prerna, María Velasco‐Estevez, Lauren Chan, et al.. (2021). The Eµ-hnRNP K Murine Model of Lymphoma: Novel Insights into the Role of hnRNP K in B-Cell Malignancies. Frontiers in Immunology. 12. 634584–634584. 3 indexed citations
8.
Post, Sean M., Huaxian Ma, Prerna Malaney, et al.. (2021). AXL/MERTK inhibitor ONO-7475 potently synergizes with venetoclax and overcomes venetoclax resistance to kill <i>FLT3</i>-ITD acute myeloid leukemia. Haematologica. 107(6). 1311–1322. 24 indexed citations
9.
Ma, Huaxian, Xiaorui Zhang, Prerna Malaney, et al.. (2018). Combination Therapy with BTK Inhibitor Plus Anti-PD-1 Antibody Results in a Hyperprogressor Phenotype in a Mouse Model of CLL. Blood. 132(Supplement 1). 4416–4416. 1 indexed citations
10.
Malaney, Prerna, Vladimir N. Uversky, & Vrushank Davé. (2017). PTEN proteoforms in biology and disease. Cellular and Molecular Life Sciences. 74(15). 2783–2794. 67 indexed citations
11.
Malaney, Prerna, et al.. (2017). PTEN Physically Interacts with and Regulates E2F1-mediated Transcription in Lung Cancer. Cell Cycle. 17(8). 947–962. 32 indexed citations
12.
Malaney, Prerna. (2016). Significance of PTEN Phosphorylation and its Nuclear Function in Lung Cancer. Digital Commons - University of South Florida (University of South Florida). 1 indexed citations
13.
Malaney, Prerna, Vladimir N. Uversky, & Vrushank Davé. (2014). Identification of intrinsically disordered regions in PTEN and delineation of its function via a network approach. Methods. 77-78. 69–74. 13 indexed citations
14.
Malaney, Prerna & Vrushank Davé. (2014). Abstract B09: Loss of PTEN cooperates with mutant KRAS initiating EMT and increased stemness in a mouse model of lung cancer. Molecular Cancer Research. 12(12_Supplement). B09–B09. 1 indexed citations
15.
Uversky, Vladimir N., Vrushank Davé, Lilia M. Iakoucheva, et al.. (2014). Pathological Unfoldomics of Uncontrolled Chaos: Intrinsically Disordered Proteins and Human Diseases. Chemical Reviews. 114(13). 6844–6879. 221 indexed citations
16.
Malaney, Prerna, Vladimir N. Uversky, & Vrushank Davé. (2013). The PTEN Long N-tail is intrinsically disordered: increased viability for PTEN therapy. Molecular BioSystems. 9(11). 2877–2888. 44 indexed citations
17.
Pathak, Ravi Ramesh, et al.. (2013). Loss of Phosphatase and Tensin Homolog (PTEN) Induces Leptin-mediated Leptin Gene Expression. Journal of Biological Chemistry. 288(41). 29821–29835. 16 indexed citations
18.
Malaney, Prerna, Santo V. Nicosia, & Vrushank Davé. (2013). One mouse, one patient paradigm: New avatars of personalized cancer therapy. Cancer Letters. 344(1). 1–12. 211 indexed citations
19.
Malaney, Prerna, Ravi Ramesh Pathak, Bin Xue, Vladimir N. Uversky, & Vrushank Davé. (2013). Intrinsic Disorder in PTEN and its Interactome Confers Structural Plasticity and Functional Versatility. Scientific Reports. 3(1). 2035–2035. 66 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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