Ronald Realubit

1.9k total citations
18 papers, 734 citations indexed

About

Ronald Realubit is a scholar working on Molecular Biology, Computational Theory and Mathematics and Hematology. According to data from OpenAlex, Ronald Realubit has authored 18 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 3 papers in Hematology. Recurrent topics in Ronald Realubit's work include Computational Drug Discovery Methods (5 papers), Bioinformatics and Genomic Networks (4 papers) and Multiple Myeloma Research and Treatments (2 papers). Ronald Realubit is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Bioinformatics and Genomic Networks (4 papers) and Multiple Myeloma Research and Treatments (2 papers). Ronald Realubit collaborates with scholars based in United States, Germany and South Korea. Ronald Realubit's co-authors include Charles Karan, Andrea Califano, Mukesh Bansal, Michela Mattioli, Gonzalo López, Jung Hoon Woo, Paola Nicoletti, Archana Iyer, Brent R. Stockwell and Yishai Shimoni and has published in prestigious journals such as Cell, Nature Communications and Blood.

In The Last Decade

Ronald Realubit

17 papers receiving 730 citations

Peers

Ronald Realubit

PRM

ONCOL

PFM

Vipin Yadav United States

Kelli M. Wilson United States

Deena M.A. Gendoo Canada

Mayuko Omori United States

Atish Mohanty United States

Jodi M. Saunus Australia

Sandeep Nambiar Germany

Anne Fassl Germany

Lukas M. Orre Sweden

Antony Letai United States

Vipin Yadav United States

Ronald Realubit

573 ×1.3

116 ×0.7

PRM

110 ×0.7

309 ×2.8

ONCOL

127 ×1.5

PFM

Citations per year, relative to Ronald Realubit Ronald Realubit (= 1×) peers Vipin Yadav

Countries citing papers authored by Ronald Realubit

Since Specialization

Citations

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

Fields of papers citing papers by Ronald Realubit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ronald Realubit

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

All Works

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18 of 18 papers shown

Romano, Joseph D., Hai Li, Ronald Realubit, et al.. (2023). Discovering Venom-Derived Drug Candidates Using Differential Gene Expression. Toxins. 15(7). 451–451. 2 indexed citations

Laise, Pasquale, Megan L. Stanifer, Xiaoyun Sun, et al.. (2022). A model for network-based identification and pharmacological targeting of aberrant, replication-permissive transcriptional programs induced by viral infection. Communications Biology. 5(1). 714–714. 3 indexed citations

Ahsen, Mehmet Eren, Thomas Schaffter, Xintong Chen, et al.. (2020). The transcriptomic response of cells to a drug combination is more than the sum of the responses to the monotherapies. eLife. 9. 19 indexed citations

Ambrosini, Grazia, Catherine Do, Benjamin Tycko, et al.. (2019). Inhibition of NF-κB–Dependent Signaling Enhances Sensitivity and Overcomes Resistance to BET Inhibition in Uveal Melanoma. Cancer Research. 79(9). 2415–2425. 34 indexed citations

Quinnies, Kayla M., et al.. (2018). Tissue‐Specific Analysis of Pharmacological Pathways. CPT Pharmacometrics & Systems Pharmacology. 7(7). 453–463. 6 indexed citations

Davé, Utpal P., Irina V. Lebedeva, Yao Shen, et al.. (2017). PI3Kγ/δ and NOTCH1 Cross-Regulate Pathways That Define the T-cell Acute Lymphoblastic Leukemia Disease Signature. Molecular Cancer Therapeutics. 16(10). 2069–2082. 7 indexed citations

Bush, Erin, F. Andrew Ray, Mariano J. Alvarez, et al.. (2017). PLATE-Seq for genome-wide regulatory network analysis of high-throughput screens. Nature Communications. 8(1). 105–105. 63 indexed citations

Shen, Yao, Mariano J. Alvarez, Brygida Bisikirska, et al.. (2017). Systematic, network-based characterization of therapeutic target inhibitors. PLoS Computational Biology. 13(10). e1005599–e1005599. 16 indexed citations

Dunn, Matthew, Anne Beskow, Sergey Pampou, et al.. (2017). Identification of Fluorescent Small Molecule Compounds for Synaptic Labeling by Image-Based, High-Content Screening. ACS Chemical Neuroscience. 9(4). 673–683. 5 indexed citations

10.

Latif, Rauf, Ronald Realubit, Charles Karan, Mihaly Mezei, & Terry F. Davies. (2016). TSH Receptor Signaling Abrogation by a Novel Small Molecule. Frontiers in Endocrinology. 7. 130–130. 37 indexed citations

11.

Chang, Jeremy, Kayla M. Quinnies, Ronald Realubit, et al.. (2016). A novel, rapid method to compare the therapeutic windows of oral anticoagulants using the Hill coefficient. Scientific Reports. 6(1). 29387–29387. 10 indexed citations

12.

Realubit, Ronald, Sungkwon Chung, Dieter Lütjohann, et al.. (2016). Bioactive Compound Screen for Pharmacological Enhancers of Apolipoprotein E in Primary Human Astrocytes. Cell chemical biology. 23(12). 1526–1538. 17 indexed citations

13.

Deng, Changchun, Luigi Scotto, Shirong Li, et al.. (2016). Silencing c-Myc translation as a therapeutic strategy through targeting PI3Kδ and CK1ε in hematological malignancies. Blood. 129(1). 88–99. 87 indexed citations

14.

Jain, Salvia, Kelly Zullo, Luigi Scotto, et al.. (2015). Preclinical Pharmacologic Evaluation of Pralatrexate and Romidepsin Confirms Potent Synergy of the Combination in a Murine Model of Human T-cell Lymphoma. Clinical Cancer Research. 21(9). 2096–2106. 49 indexed citations

15.

Woo, Jung Hoon, Yishai Shimoni, Wan Seok Yang, et al.. (2015). Elucidating Compound Mechanism of Action by Network Perturbation Analysis. Cell. 162(2). 441–451. 278 indexed citations

16.

Sonabend, Adam M., Mukesh Bansal, Lei Liang, et al.. (2014). Convection-enhanced delivery of etoposide is effective against murine proneural glioblastoma. Neuro-Oncology. 16(9). 1210–1219. 29 indexed citations

17.

Porotto, Matteo, Christine C. Yokoyama, Bruce A. Mungall, et al.. (2009). Simulating Henipavirus Multicycle Replication in a Screening Assay Leads to Identification of a Promising Candidate for Therapy. Journal of Virology. 83(10). 5148–5155. 71 indexed citations

18.

Marra, Jonathan, et al.. (2006). Automated gene processing and exon sequence retrieval. ACM SIGCSE Bulletin. 38(3). 366–366. 1 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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