Eric V. Dang

3.8k total citations · 2 hit papers
19 papers, 2.6k citations indexed

About

Eric V. Dang is a scholar working on Immunology, Surgery and Molecular Biology. According to data from OpenAlex, Eric V. Dang has authored 19 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 6 papers in Surgery and 6 papers in Molecular Biology. Recurrent topics in Eric V. Dang's work include Cholesterol and Lipid Metabolism (6 papers), Antifungal resistance and susceptibility (3 papers) and Inflammasome and immune disorders (3 papers). Eric V. Dang is often cited by papers focused on Cholesterol and Lipid Metabolism (6 papers), Antifungal resistance and susceptibility (3 papers) and Inflammasome and immune disorders (3 papers). Eric V. Dang collaborates with scholars based in United States, Switzerland and Belgium. Eric V. Dang's co-authors include Jason G. Cyster, Jeffrey G. McDonald, Andrea Reboldi, David W. Russell, Fan Pan, Hong Yu, Drew M. Pardoll, Huang‐Yu Yang, Ying Zheng and Gregg L. Semenza and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Eric V. Dang

18 papers receiving 2.6k citations

Hit Papers

Control of TH17/Treg Balance by Hypoxia-Inducible Factor 1 2011 2026 2016 2021 2011 2014 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric V. Dang United States 11 1.6k 985 515 461 367 19 2.6k
Wendy Huang United States 17 925 0.6× 1.3k 1.3× 500 1.0× 315 0.7× 391 1.1× 28 2.3k
Julia Bollrath Germany 7 1.5k 0.9× 827 0.8× 423 0.8× 466 1.0× 725 2.0× 8 2.5k
Helena Ahlfors United Kingdom 26 2.1k 1.3× 871 0.9× 348 0.7× 220 0.5× 363 1.0× 36 3.2k
Weiguo Hu China 34 950 0.6× 1.2k 1.2× 401 0.8× 536 1.2× 708 1.9× 138 3.2k
Will Bailis United States 14 1.0k 0.6× 1.6k 1.7× 317 0.6× 575 1.2× 319 0.9× 20 2.6k
Renren Wen United States 31 1.7k 1.0× 873 0.9× 338 0.7× 454 1.0× 565 1.5× 75 2.8k
Tangsheng Yi United States 24 2.2k 1.3× 878 0.9× 585 1.1× 220 0.5× 1.0k 2.8× 35 3.5k
Ildiko Konrad Germany 18 1.1k 0.7× 750 0.8× 341 0.7× 202 0.4× 263 0.7× 20 3.3k
Hu Zeng United States 27 2.1k 1.3× 1.3k 1.3× 166 0.3× 457 1.0× 550 1.5× 63 3.2k
Jennifer Major United States 26 1.5k 1.0× 893 0.9× 188 0.4× 428 0.9× 597 1.6× 37 2.9k

Countries citing papers authored by Eric V. Dang

Since Specialization
Citations

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

Fields of papers citing papers by Eric V. Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric V. Dang. 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 Eric V. Dang. The network helps show where Eric V. Dang may publish in the future.

Co-authorship network of co-authors of Eric V. Dang

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

All Works

19 of 19 papers shown
1.
Dang, Eric V. & Andrea Reboldi. (2024). Cholesterol sensing and metabolic adaptation in tissue immunity. Trends in Immunology. 45(11). 861–870. 3 indexed citations
2.
Giovanni, Marco De, Eric V. Dang, Kevin Y. Chen, et al.. (2023). Platelets and mast cells promote pathogenic eosinophil recruitment during invasive fungal infection via the 5-HIAA-GPR35 ligand-receptor system. Immunity. 56(7). 1548–1560.e5. 30 indexed citations
3.
Zheng, Yufan & Eric V. Dang. (2023). Novel mechanistic insights underlying fungal allergic inflammation. PLoS Pathogens. 19(9). e1011623–e1011623. 8 indexed citations
4.
Dang, Eric V., Susan Lei, Atanas Radkov, et al.. (2022). Secreted fungal virulence effector triggers allergic inflammation via TLR4. Nature. 608(7921). 161–167. 48 indexed citations
5.
Lahham, Shadi, et al.. (2022). Evaluation of Adherence to Emergency Department Point-of-Care Ultrasound Documentation and Billing Following Intervention. Journal of Medical Ultrasound. 30(3). 211–214. 3 indexed citations
6.
Basso, Pauline, et al.. (2022). Deep tissue infection by an invasive human fungal pathogen requires lipid-based suppression of the IL-17 response. Cell Host & Microbe. 30(11). 1589–1601.e5. 14 indexed citations
7.
Langdorf, Mark I., et al.. (2021). MRI at the Bedside: A Case Report Comparing Fixed and Portable Magnetic Resonance Imaging for Suspected Stroke. Cureus. 13(8). e16904–e16904. 5 indexed citations
8.
Cheng, Jing, Linda R. Klei, Ming Zhang, et al.. (2020). GRK2 suppresses lymphomagenesis by inhibiting the MALT1 proto-oncoprotein. Journal of Clinical Investigation. 130(2). 1036–1051. 15 indexed citations
9.
Labelle‐Dumais, Cassandre, Nicholas Tolman, Eric V. Dang, et al.. (2020). Loss of PRSS56 function leads to ocular angle defects and increased susceptibility to high intraocular pressure. Disease Models & Mechanisms. 13(5). 10 indexed citations
10.
Reich, Norbert O., et al.. (2018). The highly specific, cell cycle–regulated methyltransferase from Caulobacter crescentus relies on a novel DNA recognition mechanism. Journal of Biological Chemistry. 293(49). 19038–19046. 8 indexed citations
11.
Dang, Eric V. & Jason G. Cyster. (2018). Loss of sterol metabolic homeostasis triggers inflammasomes — how and why. Current Opinion in Immunology. 56. 1–9. 23 indexed citations
12.
Dang, Eric V., Jeffrey G. McDonald, David W. Russell, & Jason G. Cyster. (2017). Oxysterol Restraint of Cholesterol Synthesis Prevents AIM2 Inflammasome Activation. Cell. 171(5). 1057–1071.e11. 259 indexed citations
13.
Lu, Erick, Eric V. Dang, Jeffrey G. McDonald, & Jason G. Cyster. (2017). Distinct oxysterol requirements for positioning naïve and activated dendritic cells in the spleen. Science Immunology. 2(10). 68 indexed citations
14.
Cyster, Jason G., Eric V. Dang, Andrea Reboldi, & Tangsheng Yi. (2014). 25-Hydroxycholesterols in innate and adaptive immunity. Nature reviews. Immunology. 14(11). 731–743. 265 indexed citations
15.
Reboldi, Andrea, Eric V. Dang, Jeffrey G. McDonald, et al.. (2014). 25-Hydroxycholesterol suppresses interleukin-1–driven inflammation downstream of type I interferon. Science. 345(6197). 679–684. 338 indexed citations breakdown →
16.
Dang, Eric V., Huang‐Yu Yang, Hong Yu, et al.. (2011). Control of TH17/Treg Balance by Hypoxia-Inducible Factor 1. Cell. 146(5). 772–784. 1261 indexed citations breakdown →
17.
Barbi, Joseph, Fan Pan, Hong Yu, et al.. (2010). Eos mediates Foxp3-dependent gene silencing in CD4+ regulatory T cells. (138.20). The Journal of Immunology. 184(Supplement_1). 138.20–138.20. 9 indexed citations
18.
Pan, Fan, Hong Yu, Eric V. Dang, et al.. (2009). Eos Mediates Foxp3-Dependent Gene Silencing in CD4 + Regulatory T Cells. Science. 325(5944). 1142–1146. 245 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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