Pankaj Acharya

438 total citations
10 papers, 228 citations indexed

About

Pankaj Acharya is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Pankaj Acharya has authored 10 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Hematology and 2 papers in Oncology. Recurrent topics in Pankaj Acharya's work include Acute Myeloid Leukemia Research (4 papers), Protein Degradation and Inhibitors (3 papers) and RNA modifications and cancer (2 papers). Pankaj Acharya is often cited by papers focused on Acute Myeloid Leukemia Research (4 papers), Protein Degradation and Inhibitors (3 papers) and RNA modifications and cancer (2 papers). Pankaj Acharya collaborates with scholars based in United States, South Korea and Taiwan. Pankaj Acharya's co-authors include Kristy R. Stengel, Scott W. Hiebert, Michael R. Savona, Yue Zhao, Shilpa Sampathi, R. William Henry, Jung Eun Park, Alan K. Chang, Jong Kun Park and Jung Sup Lee and has published in prestigious journals such as Nucleic Acids Research, Blood and Journal of Bacteriology.

In The Last Decade

Pankaj Acharya

10 papers receiving 227 citations

Peers

Pankaj Acharya
Chih Hao Hsu United States
Homa Rahnamoun United States
Joshua T. Zimmer United States
María V. Revuelta United States
Ka Yim Chan-Salis United States
Hui Si Kwok United States
Rebecca Lamothe United States
Willem J. van Heeckeren United States
Eric Still United States
Trevor Parton United States
Chih Hao Hsu United States
Pankaj Acharya
Citations per year, relative to Pankaj Acharya Pankaj Acharya (= 1×) peers Chih Hao Hsu

Countries citing papers authored by Pankaj Acharya

Since Specialization
Citations

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

Fields of papers citing papers by Pankaj Acharya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pankaj Acharya

This figure shows the co-authorship network connecting the top 25 collaborators of Pankaj Acharya. A scholar is included among the top collaborators of Pankaj Acharya 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 Pankaj Acharya. Pankaj Acharya 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
1.
Ramsey, Haley E., Qi Liu, Jing Wang, et al.. (2020). Nascent transcript and single-cell RNA-seq analysis defines the mechanism of action of the LSD1 inhibitor INCB059872 in myeloid leukemia. Gene. 752. 144758–144758. 20 indexed citations
2.
Ramsey, Haley E., Kristy R. Stengel, Shilpa Sampathi, et al.. (2019). Nascent Transcript and Single Cell Rnaseq Analysis Defines the Mechanism of Action of the LSD1 Inhibitor INCB059872 in Myeloid Leukemia. Blood. 134(Supplement_1). 2509–2509. 3 indexed citations
3.
Sampathi, Shilpa, Pankaj Acharya, Yue Zhao, et al.. (2019). The CDK7 inhibitor THZ1 alters RNA polymerase dynamics at the 5′ and 3′ ends of genes. Nucleic Acids Research. 47(8). 3921–3936. 32 indexed citations
4.
Acharya, Pankaj, Shilpa Sampathi, Yue Zhao, et al.. (2017). Histone Deacetylase Inhibitors Mimic BET Inhibitors and Cause RNA Polymerase Pausing at MYC, KIT, and Other Oncogenes in t(8;21) AML. Blood. 130. 2470–2470. 2 indexed citations
5.
Sampathi, Shilpa, Pankaj Acharya, Yue Zhao, et al.. (2017). The CDK7 Inhibitor THZ1 Alters RNA Polymerase Dynamics at the 5' and 3' Ends of Genes. Blood. 130. 1195–1195. 1 indexed citations
6.
Liu, Qi, Jing Wang, Yue Zhao, et al.. (2017). Identification of active miRNA promoters from nuclear run-on RNA sequencing. Nucleic Acids Research. 45(13). e121–e121. 28 indexed citations
7.
Zhao, Yue, Qi Liu, Pankaj Acharya, et al.. (2016). High-Resolution Mapping of RNA Polymerases Identifies Mechanisms of Sensitivity and Resistance to BET Inhibitors in t(8;21) AML. Cell Reports. 16(7). 2003–2016. 59 indexed citations
8.
Acharya, Pankaj, Nicolas Nègre, Yiliang Wei, et al.. (2012). Evidence for Autoregulation and Cell Signaling Pathway Regulation From Genome-Wide Binding of theDrosophilaRetinoblastoma Protein. G3 Genes Genomes Genetics. 2(11). 1459–1472. 20 indexed citations
9.
Acharya, Pankaj, Nitin Raj, Liang Zhang, et al.. (2010). Paradoxical Instability–Activity Relationship Defines a Novel Regulatory Pathway for Retinoblastoma Proteins. Molecular Biology of the Cell. 21(22). 3890–3901. 15 indexed citations
10.
Chang, Alan K., Jung Eun Park, Pankaj Acharya, et al.. (2005). Vibrio vulnificus Secretes a Broad-Specificity Metalloprotease Capable of Interfering with Blood Homeostasis through Prothrombin Activation and Fibrinolysis. Journal of Bacteriology. 187(20). 6909–6916. 48 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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