Neil C. Rogers

10.7k total citations · 4 hit papers
55 papers, 8.3k citations indexed

About

Neil C. Rogers is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Neil C. Rogers has authored 55 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Immunology, 21 papers in Oncology and 16 papers in Molecular Biology. Recurrent topics in Neil C. Rogers's work include Immunotherapy and Immune Responses (20 papers), T-cell and B-cell Immunology (20 papers) and Cytokine Signaling Pathways and Interactions (16 papers). Neil C. Rogers is often cited by papers focused on Immunotherapy and Immune Responses (20 papers), T-cell and B-cell Immunology (20 papers) and Cytokine Signaling Pathways and Interactions (16 papers). Neil C. Rogers collaborates with scholars based in United Kingdom, United States and France. Neil C. Rogers's co-authors include Caetano Reis e Sousa, Santiago Zelenay, Erik Sahai, Probir Chakravarty, Diane Watling, Jan P. Böttcher, Oliver Schulz, George R. Stark, David Sancho and Eduardo Bonavita and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Neil C. Rogers

54 papers receiving 8.2k citations

Hit Papers

NK Cells Stimulate Recruitment o... 2005 2026 2012 2019 2018 2015 2005 2009 400 800 1.2k

Peers

Neil C. Rogers
Alan B. Frey United States
Maureen Howard United States
Nancy C. Reich United States
Michael David United States
James A. Johnston United States
Neil C. Rogers
Citations per year, relative to Neil C. Rogers Neil C. Rogers (= 1×) peers Alejandro V. Villarino

Countries citing papers authored by Neil C. Rogers

Since Specialization
Citations

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

Fields of papers citing papers by Neil C. Rogers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neil C. Rogers. 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 Neil C. Rogers. The network helps show where Neil C. Rogers may publish in the future.

Co-authorship network of co-authors of Neil C. Rogers

This figure shows the co-authorship network connecting the top 25 collaborators of Neil C. Rogers. A scholar is included among the top collaborators of Neil C. Rogers 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 Neil C. Rogers. Neil C. Rogers 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
1.
Minutti, Carlos M., Cécile Piot, Mariana Pereira da Costa, et al.. (2024). Distinct ontogenetic lineages dictate cDC2 heterogeneity. Nature Immunology. 25(3). 448–461. 39 indexed citations
2.
Henry, Conor M., Carlos A. Castellanos, Michael D. Buck, et al.. (2023). SYK ubiquitination by CBL E3 ligases restrains cross-presentation of dead cell-associated antigens by type 1 dendritic cells. Cell Reports. 42(12). 113506–113506. 9 indexed citations
3.
Cabeza-Cabrerizo, Mar, Carlos M. Minutti, Mariana Pereira da Costa, et al.. (2021). Recruitment of dendritic cell progenitors to foci of influenza A virus infection sustains immunity. Science Immunology. 6(65). eabi9331–eabi9331. 31 indexed citations
4.
Giampazolias, Evangelos, Oliver Schulz, Kok Haw Jonathan Lim, et al.. (2021). Secreted gelsolin inhibits DNGR-1-dependent cross-presentation and cancer immunity. Cell. 184(15). 4016–4031.e22. 89 indexed citations
5.
Bonavita, Eduardo, Christian P. Bromley, Gustav Jonsson, et al.. (2020). Antagonistic Inflammatory Phenotypes Dictate Tumor Fate and Response to Immune Checkpoint Blockade. Immunity. 53(6). 1215–1229.e8. 157 indexed citations
6.
Canton, Johnathan, H. Blees, Conor M. Henry, et al.. (2020). The receptor DNGR-1 signals for phagosomal rupture to promote cross-presentation of dead-cell-associated antigens. Nature Immunology. 22(2). 140–153. 123 indexed citations
7.
Cabeza-Cabrerizo, Mar, Janneke van Blijswijk, Stephan Wienert, et al.. (2019). Tissue clonality of dendritic cell subsets and emergency DCpoiesis revealed by multicolor fate mapping of DC progenitors. Science Immunology. 4(33). 78 indexed citations
8.
Böttcher, Jan P., Eduardo Bonavita, Probir Chakravarty, et al.. (2018). NK Cells Stimulate Recruitment of cDC1 into the Tumor Microenvironment Promoting Cancer Immune Control. Cell. 172(5). 1022–1037.e14. 1313 indexed citations breakdown →
9.
Gaya, Mauro, Angelo Castello, Beatriz Montaner, et al.. (2015). Inflammation-induced disruption of SCS macrophages impairs B cell responses to secondary infection. Science. 347(6222). 667–672. 104 indexed citations
10.
Acton, Sophie E., Aaron J. Farrugia, Jillian L. Astarita, et al.. (2014). Dendritic cells control fibroblastic reticular network tension and lymph node expansion. Nature. 514(7523). 498–502. 214 indexed citations
11.
Blijswijk, Janneke van, Barbara U. Schraml, Neil C. Rogers, et al.. (2014). Altered Lymph Node Composition in Diphtheria Toxin Receptor–Based Mouse Models To Ablate Dendritic Cells. The Journal of Immunology. 194(1). 307–315. 15 indexed citations
12.
Schraml, Barbara U., Janneke van Blijswijk, Santiago Zelenay, et al.. (2013). Genetic Tracing via DNGR-1 Expression History Defines Dendritic Cells as a Hematopoietic Lineage. Cell. 154(4). 843–858. 224 indexed citations
13.
Zelenay, Santiago, Anna M. Keller, Paul G. Whitney, et al.. (2012). The dendritic cell receptor DNGR-1 controls endocytic handling of necrotic cell antigens to favor cross-priming of CTLs in virus-infected mice. Journal of Clinical Investigation. 122(5). 1615–1627. 205 indexed citations
14.
Rogers, Neil C., Emma Slack, Alexander D. Edwards, et al.. (2005). Syk-Dependent Cytokine Induction by Dectin-1 Reveals a Novel Pattern Recognition Pathway for C Type Lectins. Immunity. 22(6). 773–774. 31 indexed citations
15.
Rogers, Neil C., Emma Slack, Alexander D. Edwards, et al.. (2005). Syk-Dependent Cytokine Induction by Dectin-1 Reveals a Novel Pattern Recognition Pathway for C Type Lectins. Immunity. 22(4). 507–517. 727 indexed citations breakdown →
16.
Jackson, David, Diane Watling, Neil C. Rogers, et al.. (2003). The JAK/STAT pathway is not sufficient to sustain the antiproliferative response in an interferon-resistant human melanoma cell line. Melanoma Research. 13(3). 219–229. 18 indexed citations
17.
Sousa, Caetano Reis e, George Yap, Oliver Schulz, et al.. (1999). Paralysis of Dendritic Cell IL-12 Production by Microbial Products Prevents Infection-Induced Immunopathology. Immunity. 11(5). 637–647. 162 indexed citations
18.
Kohlhuber, Franz, Neil C. Rogers, Diane Watling, et al.. (1997). A JAK1/JAK2 Chimera Can Sustain Alpha and Gamma Interferon Responses. Molecular and Cellular Biology. 17(2). 695–706. 180 indexed citations
19.
Briscoe, James, Dmitry Guschin, Neil C. Rogers, et al.. (1996). JAKs, STATs and signal transduction in response to the interferons and other cytokines. Philosophical Transactions of the Royal Society B Biological Sciences. 351(1336). 167–171. 54 indexed citations
20.
Watling, Diane, Dmitry Guschin, Mathias Müller, et al.. (1993). Complementation by the protein tyrosine kinase JAK2 of a mutant cell line defective in the interferon-& gamma; signal transduction pathway. Nature. 366(6451). 166–170. 472 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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