Eric Dickerson

611 total citations
7 papers, 514 citations indexed

About

Eric Dickerson is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Eric Dickerson has authored 7 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Eric Dickerson's work include Immune Response and Inflammation (4 papers), interferon and immune responses (2 papers) and Inflammasome and immune disorders (2 papers). Eric Dickerson is often cited by papers focused on Immune Response and Inflammation (4 papers), interferon and immune responses (2 papers) and Inflammasome and immune disorders (2 papers). Eric Dickerson collaborates with scholars based in United States and Italy. Eric Dickerson's co-authors include Divaker Choubey, Ravichandran Panchanathan, Xin Duan, Larissa V. Ponomareva, Kelly D. McCall, Leonard D. Kohn, Ramiro Malgor, Christopher J. Lewis, Douglas J. Goetz and Hongzhu Liu and has published in prestigious journals such as Clinical Cancer Research, American Journal of Physiology-Heart and Circulatory Physiology and Journal of Endocrinology.

In The Last Decade

Eric Dickerson

7 papers receiving 509 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Dickerson United States 7 328 264 92 61 58 7 514
Guosu Wang United Kingdom 12 180 0.5× 234 0.9× 63 0.7× 34 0.6× 41 0.7× 13 506
Ana P. Lopes Netherlands 14 156 0.5× 214 0.8× 68 0.7× 120 2.0× 55 0.9× 27 500
Lisa Göschl Austria 10 217 0.7× 438 1.7× 111 1.2× 37 0.6× 28 0.5× 20 729
Laela M. Booshehri United States 9 314 1.0× 193 0.7× 44 0.5× 37 0.6× 53 0.9× 14 554
Sébastien Denanglaire Belgium 11 175 0.5× 404 1.5× 135 1.5× 68 1.1× 50 0.9× 18 672
Denis Đermadi United States 8 242 0.7× 149 0.6× 214 2.3× 57 0.9× 46 0.8× 15 534
Kiyoshi Takahashi Japan 12 199 0.6× 224 0.8× 81 0.9× 60 1.0× 110 1.9× 15 568
Dennis M. de Graaf United States 12 239 0.7× 274 1.0× 72 0.8× 27 0.4× 42 0.7× 20 506
Eui‐Young So United States 12 152 0.5× 163 0.6× 96 1.0× 53 0.9× 34 0.6× 17 397
Huaxi Xu China 10 141 0.4× 350 1.3× 86 0.9× 81 1.3× 27 0.5× 12 613

Countries citing papers authored by Eric Dickerson

Since Specialization
Citations

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

Fields of papers citing papers by Eric Dickerson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Dickerson

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

All Works

7 of 7 papers shown
1.
Schwartz, Anthony L., Eric Dickerson, Nilesh M. Dagia, Ramiro Malgor, & Kelly D. McCall. (2016). TLR signaling inhibitor, phenylmethimazole, in combination with tamoxifen inhibits human breast cancer cell viability and migration. Oncotarget. 8(69). 113295–113302. 11 indexed citations
2.
Ponomareva, Larissa V., Hongzhu Liu, Xin Duan, et al.. (2013). AIM2, an IFN-Inducible Cytosolic DNA Sensor, in the Development of Benign Prostate Hyperplasia and Prostate Cancer. Molecular Cancer Research. 11(10). 1193–1202. 102 indexed citations
3.
Duan, Xin, Larissa V. Ponomareva, Sudhakar Veeranki, et al.. (2011). Differential Roles for the Interferon-Inducible IFI16 and AIM2 Innate Immune Sensors for Cytosolic DNA in Cellular Senescence of Human Fibroblasts. Molecular Cancer Research. 9(5). 589–602. 73 indexed citations
4.
Choubey, Divaker, Xin Duan, Eric Dickerson, et al.. (2010). Interferon-Inducible p200-Family Proteins as Novel Sensors of Cytoplasmic DNA: Role in Inflammation and Autoimmunity. Journal of Interferon & Cytokine Research. 30(6). 371–380. 97 indexed citations
5.
McCall, Kelly D., Dawn K. Holliday, Eric Dickerson, et al.. (2010). Phenylmethimazole blocks palmitate-mediated induction of inflammatory cytokine pathways in 3T3L1 adipocytes and RAW 264.7 macrophages. Journal of Endocrinology. 207(3). 343–353. 48 indexed citations
6.
Schwartz, Anthony L., Ramiro Malgor, Eric Dickerson, et al.. (2009). Phenylmethimazole Decreases Toll-Like Receptor 3 and Noncanonical Wnt5a Expression in Pancreatic Cancer and Melanoma Together with Tumor Cell Growth and Migration. Clinical Cancer Research. 15(12). 4114–4122. 55 indexed citations
7.
Goetz, Douglas J., Eric Dickerson, Kelly D. McCall, et al.. (2008). Wnt5a is expressed in murine and human atherosclerotic lesions. American Journal of Physiology-Heart and Circulatory Physiology. 294(6). H2864–H2870. 128 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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