Jessica Oddo

687 total citations
10 papers, 558 citations indexed

About

Jessica Oddo is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Jessica Oddo has authored 10 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Hematology. Recurrent topics in Jessica Oddo's work include Chronic Lymphocytic Leukemia Research (5 papers), Chronic Myeloid Leukemia Treatments (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Jessica Oddo is often cited by papers focused on Chronic Lymphocytic Leukemia Research (5 papers), Chronic Myeloid Leukemia Treatments (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Jessica Oddo collaborates with scholars based in United States and Spain. Jessica Oddo's co-authors include Dale J. Christensen, Michael P. Vitek, Rosalie C. Sears, Amy Farrell, Colin J. Daniel, Brittany L. Allen-Petersen, Jessica Neil, Mahnaz Janghorban, Carl Pelz and Ellen M. Langer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Immunology.

In The Last Decade

Jessica Oddo

9 papers receiving 553 citations

Peers

Jessica Oddo

ONCOL

HEMAT

PRM

Jason P. Frazier United States

Sho Kubota Japan

Matthias Artaker Austria

Friederike C. von Lintig United States

Carine Robert United States

Natacha Bohin United States

Saveur-Michel Maira Switzerland

Caroline Farrington United States

Zhi-Ren Liu United States

Christine Pellegrino United States

Jason P. Frazier United States

Jessica Oddo

397 ×0.9

160 ×1.2

ONCOL

94 ×1.1

26 ×0.4

HEMAT

50 ×1.1

PRM

Citations per year, relative to Jessica Oddo Jessica Oddo (= 1×) peers Jason P. Frazier

Countries citing papers authored by Jessica Oddo

Since Specialization

Citations

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

Fields of papers citing papers by Jessica Oddo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jessica Oddo

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

All Works

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10 of 10 papers shown

Agarwal, Anupriya, Raffaella Pippa, Christopher A. Eide, et al.. (2014). Antagonism of SET Using OP449 Enhances the Efficacy of Tyrosine Kinase Inhibitors and Overcomes Drug Resistance in Myeloid Leukemia. Clinical Cancer Research. 20(8). 2092–2103. 103 indexed citations

Farrell, Amy, Brittany L. Allen-Petersen, Colin J. Daniel, et al.. (2014). Targeting Inhibitors of the Tumor Suppressor PP2A for the Treatment of Pancreatic Cancer. Molecular Cancer Research. 12(6). 924–939. 88 indexed citations

Janghorban, Mahnaz, Amy Farrell, Brittany L. Allen-Petersen, et al.. (2014). Targeting c-MYC by antagonizing PP2A inhibitors in breast cancer. Proceedings of the National Academy of Sciences. 111(25). 9157–9162. 149 indexed citations

Agarwal, Anupriya, Raffaella Pippa, Christopher A. Eide, et al.. (2013). OP449, a Novel SET Antagonist, Is Cytotoxic To Leukemia Cells and Enhances Efficacy Of Tyrosine Kinase Inhibitors In Drug-Resistant Myeloid Leukemias. Blood. 122(21). 2511–2511.

Christensen, Dale J., Nobutaka Ohkubo, Jessica Oddo, et al.. (2011). Apolipoprotein E and Peptide Mimetics Modulate Inflammation by Binding the SET Protein and Activating Protein Phosphatase 2A. The Journal of Immunology. 186(4). 2535–2542. 102 indexed citations

Agarwal, Anupriya, et al.. (2011). A Novel SET Antagonist (OP449) Is Cytotoxic to CML Cells, Including the Highly-Resistant BCR-ABLT315I Mutant, and Demonstrates Enhanced Efficacy in Combination with ABL Tyrosine Kinase Inhibitors,. Blood. 118(21). 3757–3757. 11 indexed citations

Christensen, Dale J., Youwei Chen, Jessica Oddo, et al.. (2011). SET oncoprotein overexpression in B-cell chronic lymphocytic leukemia and non-Hodgkin lymphoma: a predictor of aggressive disease and a new treatment target. Blood. 118(15). 4150–4158. 101 indexed citations

Christensen, Dale J., Alicia D. Volkheimer, Jessica Oddo, et al.. (2009). The SET Oncogene, a Potent PP2A Inhibitor, Is Elevated in CLL and Antagonism of SET Induces Apoptosis.. Blood. 114(22). 802–802. 2 indexed citations

Vitek, Michael P., Dale J. Christensen, Donna M. Wilcock, et al.. (2009). O2‐04‐05: Novel mechanism where ApoE mimetics activate PP2A activity and reduce Alzheimer's pathology in three different transgenic models. Alzheimer s & Dementia. 5(4S_Part_4). 1 indexed citations

10.

Christensen, Dale J., Alicia D. Volkheimer, Jessica Oddo, et al.. (2008). Apolipoprotein E-Mimetic Therapeutic Peptides Mediate CLL Cell Cytotoxicity. Blood. 112(11). 359–359. 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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