Emily N. Arner

1.2k total citations · 1 hit paper
10 papers, 567 citations indexed

About

Emily N. Arner is a scholar working on Immunology, Oncology and Cancer Research. According to data from OpenAlex, Emily N. Arner has authored 10 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Emily N. Arner's work include Pancreatic and Hepatic Oncology Research (3 papers), Phagocytosis and Immune Regulation (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Emily N. Arner is often cited by papers focused on Pancreatic and Hepatic Oncology Research (3 papers), Phagocytosis and Immune Regulation (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Emily N. Arner collaborates with scholars based in United States, Norway and Finland. Emily N. Arner's co-authors include Jeffrey C. Rathmell, Rolf A. Brekken, Wenting Du, Huocong Huang, Philipp E. Scherer, Kelsey Voss, Ke Ding, Arissa Young, Michelle J. Ormseth and Katherine N. Gibson‐Corley and has published in prestigious journals such as Journal of Clinical Investigation, Cancer Cell and Journal of Medicinal Chemistry.

In The Last Decade

Emily N. Arner

10 papers receiving 557 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Metabolic programming and immune suppression in the tumor microenvironment

2023 323 citations Emily N. Arner, Jeffrey C. Rathmell Cancer Cell profile →

Peers

Emily N. Arner

MB

IMMUN

ONCOL

CR

BE

Sifan Zhang China

He Dou China

Marcin Ziętek Poland

Dorcas A. Annan Japan

Liangsheng Fan China

Chongkui Sun China

Yuze Hua China

Fee Bengsch Germany

Rémi Samain France

Iris de Rink Netherlands

Sifan Zhang China

Emily N. Arner

289 ×1.1

MB

119 ×0.6

IMMUN

191 ×1.1

ONCOL

208 ×1.4

CR

86 ×1.1

BE

Citations per year, relative to Emily N. Arner Emily N. Arner (= 1×) peers Sifan Zhang

Countries citing papers authored by Emily N. Arner

Since Specialization

Citations

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

Fields of papers citing papers by Emily N. Arner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily N. Arner. 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 Emily N. Arner. The network helps show where Emily N. Arner may publish in the future.

Co-authorship network of co-authors of Emily N. Arner

This figure shows the co-authorship network connecting the top 25 collaborators of Emily N. Arner. A scholar is included among the top collaborators of Emily N. Arner 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 Emily N. Arner. Emily N. Arner 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

1.

Arner, Emily N., et al.. (2024). Immunometabolism of ferroptosis in the tumor microenvironment. Frontiers in Oncology. 14. 1441338–1441338. 6 indexed citations

2.

Bacigalupa, Zachary A., Emily N. Arner, Melissa M. Wolf, et al.. (2024). HIF-2α expression and metabolic signaling require ACSS2 in clear cell renal cell carcinoma. Journal of Clinical Investigation. 134(12). 7 indexed citations

3.

Arner, Emily N., Dina Alzhanova, Jill M. Westcott, et al.. (2024). AXL-TBK1 driven AKT3 activation promotes metastasis. Science Signaling. 17(867). eado6057–eado6057. 3 indexed citations

4.

Arner, Emily N. & Jeffrey C. Rathmell. (2023). Metabolic programming and immune suppression in the tumor microenvironment. Cancer Cell. 41(3). 421–433. 323 indexed citations breakdown →

5.

Voss, Kelsey, Evan Krystofiak, Katherine N. Gibson‐Corley, et al.. (2023). Elevated transferrin receptor impairs T cell metabolism and function in systemic lupus erythematosus. Science Immunology. 8(79). eabq0178–eabq0178. 61 indexed citations

6.

Arner, Emily N., Ali A. Rizvi, Jason E. Toombs, et al.. (2021). AXL Inhibitor TP-0903 Reduces Metastasis and Therapy Resistance in Pancreatic Cancer. Molecular Cancer Therapeutics. 21(1). 38–47. 22 indexed citations

7.

Zhu, Dongsheng, Huocong Huang, Daniel M. Pinkas, et al.. (2019). 2-Amino-2,3-dihydro-1H-indene-5-carboxamide-Based Discoidin Domain Receptor 1 (DDR1) Inhibitors: Design, Synthesis, and in Vivo Antipancreatic Cancer Efficacy. Journal of Medicinal Chemistry. 62(16). 7431–7444. 54 indexed citations

8.

Arner, Emily N., Wenting Du, & Rolf A. Brekken. (2019). Behind the Wheel of Epithelial Plasticity in KRAS-Driven Cancers. Frontiers in Oncology. 9. 1049–1049. 23 indexed citations

9.

Arner, Emily N., et al.. (2019). Axl-mediated activation of TBK1 drives epithelial plasticity in pancreatic cancer. JCI Insight. 4(9). 37 indexed citations

10.

Arner, Emily N., et al.. (2018). Loss of Tbk1 kinase activity protects mice from diet-induced metabolic dysfunction. Molecular Metabolism. 16. 139–149. 31 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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