Jaime Abrego

1.5k total citations
11 papers, 571 citations indexed

About

Jaime Abrego is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Jaime Abrego has authored 11 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cancer Research, 7 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Jaime Abrego's work include Cancer, Hypoxia, and Metabolism (9 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Cancer Research and Treatments (3 papers). Jaime Abrego is often cited by papers focused on Cancer, Hypoxia, and Metabolism (9 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Cancer Research and Treatments (3 papers). Jaime Abrego collaborates with scholars based in United States. Jaime Abrego's co-authors include Surendra K. Shukla, Pankaj K. Singh, Venugopal Gunda, Fang Yu, Ryan J. King, Enza Vernucci, Nina V. Chaika, Audrey J. Lazenby, Aneesha Dasgupta and Mara H. Sherman and has published in prestigious journals such as Cancer Research, Clinical Cancer Research and Cancer Letters.

In The Last Decade

Jaime Abrego

11 papers receiving 569 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jaime Abrego United States	9	346	316	245	61	57	11	571
Sandy D. Markowitz United States	2	528 1.5×	404 1.3×	221 0.9×	36 0.6×	52 0.9×	2	735
Mayumi Tamada Japan	5	450 1.3×	321 1.0×	219 0.9×	46 0.8×	41 0.7×	5	653
Petra Jagušt Spain	5	571 1.7×	472 1.5×	326 1.3×	36 0.6×	48 0.8×	5	765
Marina Domingo‐Vidal United States	11	417 1.2×	390 1.2×	172 0.7×	89 1.5×	26 0.5×	16	653
Ginevra Doglioni Belgium	5	371 1.1×	359 1.1×	195 0.8×	64 1.0×	24 0.4×	5	590
Mari B. Ishak Gabra United States	8	471 1.4×	459 1.5×	205 0.8×	73 1.2×	30 0.5×	9	700
Qiqiao Du China	13	435 1.3×	385 1.2×	213 0.9×	139 2.3×	46 0.8×	29	757
Haiyang Yu China	9	547 1.6×	368 1.2×	440 1.8×	111 1.8×	37 0.6×	17	861
Julia Bárdos United Kingdom	10	536 1.5×	366 1.2×	179 0.7×	42 0.7×	38 0.7×	13	777
Dishui Gu China	12	355 1.0×	198 0.6×	173 0.7×	122 2.0×	43 0.8×	13	586

Countries citing papers authored by Jaime Abrego

Since Specialization

Citations

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

Fields of papers citing papers by Jaime Abrego

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaime Abrego

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

All Works

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11 of 11 papers shown

Abrego, Jaime, Chet Oon, Xiao Xu, et al.. (2022). A Cancer Cell–Intrinsic GOT2–PPARδ Axis Suppresses Antitumor Immunity. Cancer Discovery. 12(10). 2414–2433. 34 indexed citations

Mulder, Scott E., Aneesha Dasgupta, Ryan J. King, et al.. (2020). JNK signaling contributes to skeletal muscle wasting and protein turnover in pancreatic cancer cachexia. Cancer Letters. 491. 70–77. 37 indexed citations

Abrego, Jaime, et al.. (2019). Fibroblasts as Modulators of Local and Systemic Cancer Metabolism. Cancers. 11(5). 619–619. 52 indexed citations

Vernucci, Enza, Jaime Abrego, Venugopal Gunda, et al.. (2019). Metabolic Alterations in Pancreatic Cancer Progression. Cancers. 12(1). 2–2. 50 indexed citations

Murthy, Divya, Enza Vernucci, Gennifer D. Goode, Jaime Abrego, & Pankaj K. Singh. (2018). Evaluating the Metabolic Impact of Hypoxia on Pancreatic Cancer Cells. Methods in molecular biology. 1742. 81–93. 1 indexed citations

Tadros, Saber, Surendra K. Shukla, Ryan J. King, et al.. (2017). De Novo Lipid Synthesis Facilitates Gemcitabine Resistance through Endoplasmic Reticulum Stress in Pancreatic Cancer. Cancer Research. 77(20). 5503–5517. 160 indexed citations

Gunda, Venugopal, Joshua J. Souchek, Jaime Abrego, et al.. (2017). MUC1-Mediated Metabolic Alterations Regulate Response to Radiotherapy in Pancreatic Cancer. Clinical Cancer Research. 23(19). 5881–5891. 74 indexed citations

Abrego, Jaime, Venugopal Gunda, Enza Vernucci, et al.. (2017). GOT1-mediated anaplerotic glutamine metabolism regulates chronic acidosis stress in pancreatic cancer cells. Cancer Letters. 400. 37–46. 76 indexed citations

Gebregiworgis, Teklab, Vinee Purohit, Surendra K. Shukla, et al.. (2017). Glucose Limitation Alters Glutamine Metabolism in MUC1-Overexpressing Pancreatic Cancer Cells. Journal of Proteome Research. 16(10). 3536–3546. 30 indexed citations

10.

Gunda, Venugopal, Joshua J. Souchek, Jaime Abrego, et al.. (2017). Abstract 459: Targeting MUC1 mediated nucleotide metabolism sensitizes pancreatic tumors to radiation therapy. Cancer Research. 77(13_Supplement). 459–459. 1 indexed citations

11.

Shukla, Surendra K., Venugopal Gunda, Jaime Abrego, et al.. (2015). MUC16-mediated activation of mTOR and c-MYC reprograms pancreatic cancer metabolism. Oncotarget. 6(22). 19118–19131. 56 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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