Jennifer E. Endress

1.3k total citations · 1 hit paper
10 papers, 326 citations indexed

About

Jennifer E. Endress is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Jennifer E. Endress has authored 10 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Genetics. Recurrent topics in Jennifer E. Endress's work include Cancer, Hypoxia, and Metabolism (4 papers), Biochemical and Molecular Research (4 papers) and RNA modifications and cancer (2 papers). Jennifer E. Endress is often cited by papers focused on Cancer, Hypoxia, and Metabolism (4 papers), Biochemical and Molecular Research (4 papers) and RNA modifications and cancer (2 papers). Jennifer E. Endress collaborates with scholars based in United States, Germany and Brazil. Jennifer E. Endress's co-authors include Lydia W.S. Finley, Katrina I. Paras, Julia S. Brunner, Oliver J. Newsom, Benjamin T. Jackson, Paige K. Arnold, Lucas B. Sullivan, Esther Drill, Isaac S. Harris and John Blenis and has published in prestigious journals such as Nature, Nature Communications and Cancer Research.

In The Last Decade

Jennifer E. Endress

9 papers receiving 324 citations

Hit Papers

A non-canonical tricarboxylic acid cycle underlies cellul... 2022 2026 2023 2024 2022 50 100 150

Peers

Jennifer E. Endress
Hyunsoo Rho United States
Jae-Hong Ko South Korea
Junya Zhu China
Gaia Bistulfi United States
Jennifer E. Endress
Citations per year, relative to Jennifer E. Endress Jennifer E. Endress (= 1×) peers Rishi Banerjee

Countries citing papers authored by Jennifer E. Endress

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer E. Endress

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer E. Endress. 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 Jennifer E. Endress. The network helps show where Jennifer E. Endress may publish in the future.

Co-authorship network of co-authors of Jennifer E. Endress

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer E. Endress. A scholar is included among the top collaborators of Jennifer E. Endress 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 Jennifer E. Endress. Jennifer E. Endress 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.
Endress, Jennifer E., Paloma González‐Sánchez, Wentao Dong, et al.. (2024). Drug screening in human physiologic medium identifies uric acid as an inhibitor of rigosertib efficacy. JCI Insight. 9(13). 3 indexed citations
2.
Li, Zhongchi, Vivien Low, Valbona Luga, et al.. (2022). Tumor-produced and aging-associated oncometabolite methylmalonic acid promotes cancer-associated fibroblast activation to drive metastatic progression. Nature Communications. 13(1). 6239–6239. 44 indexed citations
3.
Arnold, Paige K., Benjamin T. Jackson, Katrina I. Paras, et al.. (2022). A non-canonical tricarboxylic acid cycle underlies cellular identity. Nature. 603(7901). 477–481. 172 indexed citations breakdown →
4.
Parang, Bobak, Zhongchi Li, Vivien Low, et al.. (2022). Abstract 2378: Methylmalonic acid is elevated in non-small cell lung cancer and promotes drug resistance. Cancer Research. 82(12_Supplement). 2378–2378.
5.
He, Long, Jennifer E. Endress, Sungyun Cho, et al.. (2022). Suppression of nuclear GSK3 signaling promotes serine/one-carbon metabolism and confers metabolic vulnerability in lung cancer cells. Science Advances. 8(20). eabm8786–eabm8786. 24 indexed citations
6.
Gao, Wenhua, Januka Khanal, Michael M. Levitt, et al.. (2021). Identification of De Novo Pyrimidine Synthesis as a Targetable Vulnerability in a Novel IDH1 Mutant Engineered Astrocytoma Model. International Journal of Radiation Oncology*Biology*Physics. 111(3). S86–S86. 2 indexed citations
7.
Shi, Diana D., Michael M. Levitt, Jennifer E. Endress, et al.. (2021). DDRE-29. DE NOVO PYRIMIDINE SYNTHESIS IS A TARGETABLE VULNERABILITY IN IDH-MUTANT GLIOMA. Neuro-Oncology Advances. 3(Supplement_1). i12–i13. 1 indexed citations
8.
Daniëls, Veerle W., Jason J. Zoeller, Nick van Gastel, et al.. (2021). Metabolic perturbations sensitize triple-negative breast cancers to apoptosis induced by BH3 mimetics. Science Signaling. 14(686). 22 indexed citations
9.
Nicholson, Hilary E., Zeshan Tariq, Benjamin E. Housden, et al.. (2019). HIF-independent synthetic lethality between CDK4/6 inhibition and VHL loss across species. Science Signaling. 12(601). 57 indexed citations
10.
Harris, Isaac S., Jennifer E. Endress, & Joan S. Brugge. (2017). Abstract 4985: Understanding the vulnerabilities in cancer cells upon inhibition of glutathione synthesis. Cancer Research. 77(13_Supplement). 4985–4985. 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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