Christopher P. Elco

2.4k total citations · 1 hit paper
20 papers, 1.2k citations indexed

About

Christopher P. Elco is a scholar working on Dermatology, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, Christopher P. Elco has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Dermatology, 7 papers in Pathology and Forensic Medicine and 7 papers in Immunology. Recurrent topics in Christopher P. Elco's work include Cutaneous lymphoproliferative disorders research (5 papers), interferon and immune responses (3 papers) and Immune Response and Inflammation (3 papers). Christopher P. Elco is often cited by papers focused on Cutaneous lymphoproliferative disorders research (5 papers), interferon and immune responses (3 papers) and Immune Response and Inflammation (3 papers). Christopher P. Elco collaborates with scholars based in United States, Australia and Switzerland. Christopher P. Elco's co-authors include Ganes C. Sen, Saumendra N. Sarkar, Kristi L. Peters, Jessica E. Teague, Rachael A. Clark, Thomas S. Kupper, Ahmed Gehad, Shuji Sakamoto, Srabani Pal and Rei Watanabe and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.

In The Last Decade

Christopher P. Elco

18 papers receiving 1.2k citations

Hit Papers

Human skin is protected by four functionally and phenotyp... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher P. Elco United States 11 821 329 276 241 206 20 1.2k
Michael Gombert Germany 17 1.3k 1.5× 450 1.4× 302 1.1× 106 0.4× 145 0.7× 28 1.8k
René Rückert Germany 18 901 1.1× 204 0.6× 181 0.7× 150 0.6× 54 0.3× 31 1.9k
Baishakhi Mahapatra India 3 905 1.1× 152 0.5× 267 1.0× 113 0.5× 160 0.8× 8 1.3k
Toshihiko Ishii Japan 21 769 0.9× 148 0.4× 371 1.3× 57 0.2× 208 1.0× 41 1.5k
Jesús Martı́nez-Borra Spain 30 1.5k 1.8× 199 0.6× 142 0.5× 324 1.3× 91 0.4× 59 2.1k
Yoshiki Tokura Japan 15 544 0.7× 292 0.9× 211 0.8× 75 0.3× 116 0.6× 28 925
Nobuaki Kawamura Japan 19 1.2k 1.5× 83 0.3× 293 1.1× 327 1.4× 123 0.6× 51 1.9k
Ramón Gimeno Spain 19 877 1.1× 58 0.2× 548 2.0× 161 0.7× 185 0.9× 42 1.5k
A. Cerri Italy 21 218 0.3× 372 1.1× 163 0.6× 450 1.9× 231 1.1× 60 1.1k
Z. Joel Australia 11 1.5k 1.8× 122 0.4× 308 1.1× 276 1.1× 48 0.2× 12 2.0k

Countries citing papers authored by Christopher P. Elco

Since Specialization
Citations

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

Fields of papers citing papers by Christopher P. Elco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher P. Elco. 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 Christopher P. Elco. The network helps show where Christopher P. Elco may publish in the future.

Co-authorship network of co-authors of Christopher P. Elco

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

All Works

20 of 20 papers shown
3.
Yang, Eric, et al.. (2022). Wells syndrome as a presenting sign of COVID-19 in the setting of allergic rhinitis and iron deficiency anemia. JAAD Case Reports. 23. 27–30. 2 indexed citations
5.
Bakow, Brianna R., Christopher P. Elco, Mark LeGolvan, Don S. Dizon, & Thomas Ollila. (2020). Molecular Profiles of Brain and Pulmonary Metastatic Disease in Cancer of Unknown Primary. The Oncologist. 25(7). 555–559. 1 indexed citations
6.
Masson, Adèle de, John T. O’Malley, Christopher P. Elco, et al.. (2018). High-throughput sequencing of the T cell receptor β gene identifies aggressive early-stage mycosis fungoides. Science Translational Medicine. 10(440). 81 indexed citations
7.
Elco, Christopher P., et al.. (2017). Diffuse dermal angiomatosis mimicking inflammatory breast carcinoma. The Breast Journal. 24(2). 196–198. 4 indexed citations
8.
Kleffel, Sonja, Nayoung Lee, Cecilia Lezcano, et al.. (2016). ABCB5-Targeted Chemoresistance Reversal Inhibits Merkel Cell Carcinoma Growth. Journal of Investigative Dermatology. 136(4). 838–846. 19 indexed citations
9.
Watanabe, Rei, Ahmed Gehad, Chao Yang, et al.. (2015). Human skin is protected by four functionally and phenotypically discrete populations of resident and recirculating memory T cells. Science Translational Medicine. 7(279). 279ra39–279ra39. 420 indexed citations breakdown →
10.
Kirsch, Ilan R., Rei Watanabe, John T. O’Malley, et al.. (2015). TCR sequencing facilitates diagnosis and identifies mature T cells as the cell of origin in CTCL. Science Translational Medicine. 7(308). 308ra158–308ra158. 151 indexed citations
11.
Kirsch, Ilan R., David Williamson, James G. Krueger, et al.. (2014). High Throughput TCR Sequencing Provides Added Value in the Diagnosis of Cutaneous T-Cell Lymphoma. Blood. 124(21). 1683–1683. 2 indexed citations
12.
Elco, Christopher P., et al.. (2011). Histiocytic Sarcoma Arising From Clonally Related Mantle Cell Lymphoma. Journal of Clinical Oncology. 30(5). e49–e53. 29 indexed citations
13.
Elco, Christopher P., Adrián Mariño‐Enríquez, John A. Abraham, Paola Dal Cin, & Jason L. Hornick. (2010). Hybrid Myxoinflammatory Fibroblastic Sarcoma/Hemosiderotic Fibrolipomatous Tumor: Report of a Case Providing Further Evidence for a Pathogenetic Link. The American Journal of Surgical Pathology. 34(11). 1723–1727. 43 indexed citations
14.
Pavelitz, Thomas, Arnold D. Bailey, Christopher P. Elco, & Alan M. Weiner. (2008). Human U2 snRNA Genes Exhibit a Persistently Open Transcriptional State and Promoter Disassembly at Metaphase. Molecular and Cellular Biology. 28(11). 3573–3588. 11 indexed citations
15.
Elco, Christopher P. & Ganes C. Sen. (2007). Stat1 Required for Interferon-Inducible but Not Constitutive Responsiveness to Extracellular dsRNA. Journal of Interferon & Cytokine Research. 27(5). 411–424. 6 indexed citations
16.
Sarkar, Saumendra N., Christopher P. Elco, Kristi L. Peters, Saurabh Chattopadhyay, & Ganes C. Sen. (2006). Two Tyrosine Residues of Toll-like Receptor 3 Trigger Different Steps of NF-κB Activation. Journal of Biological Chemistry. 282(6). 3423–3427. 46 indexed citations
18.
Sarkar, Saumendra N., Sean P. Kessler, Theresa Rowe, et al.. (2005). Natural Mutations in a 2‘−5‘ Oligoadenylate Synthetase Transgene Revealed Residues Essential for Enzyme Activity. Biochemistry. 44(18). 6837–6843. 5 indexed citations
19.
Sarkar, Saumendra N., Kristi L. Peters, Christopher P. Elco, et al.. (2004). Novel roles of TLR3 tyrosine phosphorylation and PI3 kinase in double-stranded RNA signaling. Nature Structural & Molecular Biology. 11(11). 1060–1067. 293 indexed citations
20.
Brown, C. Randell, et al.. (2002). Vid22p, a novel plasma membrane protein, is required for the fructose-1,6-bisphosphatase degradation pathway. Journal of Cell Science. 115(3). 655–666. 38 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026