Christopher Silvin

1.8k total citations
18 papers, 602 citations indexed

About

Christopher Silvin is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Christopher Silvin has authored 18 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Immunology and 6 papers in Oncology. Recurrent topics in Christopher Silvin's work include NF-κB Signaling Pathways (5 papers), Cell death mechanisms and regulation (3 papers) and Immunotherapy and Immune Responses (3 papers). Christopher Silvin is often cited by papers focused on NF-κB Signaling Pathways (5 papers), Cell death mechanisms and regulation (3 papers) and Immunotherapy and Immune Responses (3 papers). Christopher Silvin collaborates with scholars based in United States, China and United Kingdom. Christopher Silvin's co-authors include Carter Van Waes, Arie Abo, Michelle R. Padget, So Jin Park, Wenda Ye, Nicole C. Schmitt, Roy Xiao, Barbara Belisle, James W. Hodge and John P. Hassett and has published in prestigious journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.

In The Last Decade

Christopher Silvin

18 papers receiving 592 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Silvin United States 14 247 197 195 87 62 18 602
Anna Hogan Ireland 14 244 1.0× 144 0.7× 69 0.4× 96 1.1× 65 1.0× 27 766
Morgan E. Roberts Canada 12 162 0.7× 230 1.2× 225 1.2× 40 0.5× 26 0.4× 23 573
Rachael L. Metheringham United Kingdom 16 387 1.6× 243 1.2× 371 1.9× 65 0.7× 88 1.4× 34 707
Victoria Sherwood United Kingdom 16 616 2.5× 218 1.1× 89 0.5× 73 0.8× 129 2.1× 19 969
Yuangang Liu United States 15 361 1.5× 189 1.0× 169 0.9× 53 0.6× 64 1.0× 26 651
Agata Radwańska France 12 238 1.0× 126 0.6× 62 0.3× 24 0.3× 213 3.4× 17 581
J A Sokoloski United States 9 410 1.7× 91 0.5× 84 0.4× 53 0.6× 15 0.2× 11 682
B M Martin United States 12 483 2.0× 94 0.5× 114 0.6× 197 2.3× 47 0.8× 17 906
Jiantao Shi China 15 749 3.0× 125 0.6× 103 0.5× 75 0.9× 53 0.9× 37 1.0k
Xiaoxi Xu China 18 200 0.8× 204 1.0× 177 0.9× 61 0.7× 113 1.8× 48 807

Countries citing papers authored by Christopher Silvin

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Silvin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Silvin

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

All Works

18 of 18 papers shown
1.
Morgan, Ethan L., Anthony D. Saleh, Hui Cheng, et al.. (2024). Functional RNAi Screening Identifies G2/M and Kinetochore Components as Modulators of TNFα/NF-κB Prosurvival Signaling in Head and Neck Squamous Cell Carcinoma. Cancer Research Communications. 4(11). 2903–2918. 2 indexed citations
2.
Viswanathan, Ramya, Hui Cheng, Jianghong Chen, et al.. (2022). Inhibiting WEE1 and IKK-RELA crosstalk overcomes TNFa resistance in head and neck cancers. Figshare. 13 indexed citations
3.
An, Yi, Lillian Sun, Adeeb Derakhshan, et al.. (2021). Death agonist antibody against TRAILR2/DR5/TNFRSF10B enhances birinapant anti-tumor activity in HPV-positive head and neck squamous cell carcinomas. Scientific Reports. 11(1). 6392–6392. 3 indexed citations
4.
Park, So Jin, Wenda Ye, Roy Xiao, et al.. (2019). Cisplatin and oxaliplatin induce similar immunogenic changes in preclinical models of head and neck cancer. Oral Oncology. 95. 127–135. 135 indexed citations
5.
Patel, Priya, Lillian Sun, Yvette Robbins, et al.. (2019). Enhancing direct cytotoxicity and response to immune checkpoint blockade following ionizing radiation with Wee1 kinase inhibition. OncoImmunology. 8(11). e1638207–e1638207. 38 indexed citations
6.
Zhang, Jialing, Chien‐Jen Chen, Xinping Yang, et al.. (2018). Attenuated TRAF3 Fosters Activation of Alternative NF-κB and Reduced Expression of Antiviral Interferon, TP53, and RB to Promote HPV-Positive Head and Neck Cancers. Cancer Research. 78(16). 4613–4626. 35 indexed citations
7.
Davis, Ruth J., Christopher Silvin, & Clint Allen. (2016). Avoiding phagocytosis-related artifact in myeloid derived suppressor cell T-lymphocyte suppression assays. Journal of Immunological Methods. 440. 12–18. 16 indexed citations
8.
Adriani, Marsilio, Krysten A. Jones, Toru Uchiyama, et al.. (2011). Defective inhibition of B-cell proliferation by Wiskott-Aldrich syndrome protein-deficient regulatory T cells. Blood. 117(24). 6608–6611. 16 indexed citations
9.
Muul, Linda, Guido Heine, Christopher Silvin, et al.. (2011). Measurement of Proliferative Responses of Cultured Lymphocytes. Current Protocols in Immunology. 94(1). Unit7.10–Unit7.10. 45 indexed citations
10.
Adriani, Marsilio, et al.. (2010). Defects of Regulatory T Cell function In The Wiskott-Aldrich Syndrome. (49.25). The Journal of Immunology. 184(Supplement_1). 49.25–49.25. 1 indexed citations
11.
12.
Muul, Linda, Christopher Silvin, Stephen P. James, & Fabio Candotti. (2008). Measurement of Proliferative Responses of Cultured Lymphocytes. Current Protocols in Immunology. 82(1). Unit 7.10.1–7.10.24. 16 indexed citations
13.
Sung, Myong‐Hee, Zhong Chen, Tatiana Karpova, et al.. (2008). Dynamic Effect of Bortezomib on Nuclear Factor-κB Activity and Gene Expression in Tumor Cells. Molecular Pharmacology. 74(5). 1215–1222. 26 indexed citations
14.
Stoll, Matthew L., Karen Price, Christopher Silvin, Feng Jiang, & Jerrie Gavalchin. (2007). Immunization with peptides derived from the idiotypic region of lupus-associated autoantibodies delays the development of lupus nephritis in the (SWR × NZB)F1 murine model. Journal of Autoimmunity. 29(1). 30–37. 11 indexed citations
15.
Chinen, Javier, Joie Davis, Suk See De Ravin, et al.. (2007). Gene therapy improves immune function in preadolescents with X-linked severe combined immunodeficiency. Blood. 110(1). 67–73. 63 indexed citations
16.
Lin, Monica, et al.. (2004). Functional identification of kinases essential for T-cell activation through a genetic suppression screen. Immunology Letters. 96(1). 129–145. 14 indexed citations
17.
Silvin, Christopher, Barbara Belisle, & Arie Abo. (2001). A Role for Wiskott-Aldrich Syndrome Protein in T-cell Receptor-mediated Transcriptional Activation Independent of Actin Polymerization. Journal of Biological Chemistry. 276(24). 21450–21457. 52 indexed citations
18.
Silvin, Christopher, et al.. (1992). Bacterial PCB biodegradation. Biodegradation. 3(2-3). 285–298. 75 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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