Rose S. Chu

1.4k total citations · 1 hit paper
8 papers, 1.2k citations indexed

About

Rose S. Chu is a scholar working on Immunology, Molecular Biology and Endocrinology. According to data from OpenAlex, Rose S. Chu has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Endocrinology. Recurrent topics in Rose S. Chu's work include Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (3 papers) and Immune Response and Inflammation (3 papers). Rose S. Chu is often cited by papers focused on Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (3 papers) and Immune Response and Inflammation (3 papers). Rose S. Chu collaborates with scholars based in United States. Rose S. Chu's co-authors include Clifford V. Harding, Arthur Μ. Krieg, Paul Lehmann, Oleg S. Targoni, David Askew, Erika H. Noss, Tera L. McCool, Neil S. Greenspan, John R. Schreiber and Aaron A.R. Tobian and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and Infection and Immunity.

In The Last Decade

Rose S. Chu

8 papers receiving 1.1k citations

Hit Papers

CpG Oligodeoxynucleotides Act as Adjuvants that Switch on... 1997 2026 2006 2016 1997 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rose S. Chu United States 7 879 258 248 145 134 8 1.2k
Susan M. Efler United States 9 825 0.9× 328 1.3× 348 1.4× 98 0.7× 144 1.1× 10 1.2k
Arash Ronaghy United States 10 826 0.9× 305 1.2× 178 0.7× 97 0.7× 101 0.8× 19 1.2k
Marein A.W.P. de Jong Netherlands 16 819 0.9× 301 1.2× 324 1.3× 112 0.8× 240 1.8× 18 1.4k
Eva-Liz Johansson Sweden 8 461 0.5× 145 0.6× 243 1.0× 107 0.7× 124 0.9× 9 818
Beatrice M. Senn Switzerland 18 595 0.7× 199 0.8× 424 1.7× 134 0.9× 242 1.8× 23 1.3k
Marta Sánchez‐Hernández Netherlands 7 1.1k 1.2× 341 1.3× 318 1.3× 68 0.5× 373 2.8× 9 1.6k
Minh‐Duc Nguyen Vietnam 3 631 0.7× 300 1.2× 158 0.6× 63 0.4× 124 0.9× 5 905
Chantal Tougne Switzerland 21 1.0k 1.2× 305 1.2× 427 1.7× 110 0.8× 196 1.5× 31 1.7k
Eiríkur Saeland Netherlands 22 869 1.0× 736 2.9× 389 1.6× 110 0.8× 194 1.4× 36 1.6k
Estella A. Koppel Netherlands 8 834 0.9× 243 0.9× 341 1.4× 70 0.5× 380 2.8× 8 1.2k

Countries citing papers authored by Rose S. Chu

Since Specialization
Citations

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

Fields of papers citing papers by Rose S. Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rose S. Chu. 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 Rose S. Chu. The network helps show where Rose S. Chu may publish in the future.

Co-authorship network of co-authors of Rose S. Chu

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

All Works

8 of 8 papers shown
1.
Chu, Rose S., David Askew, & Clifford V. Harding. (2000). CpG DNA Switches on Th1 Immunity and Modulates Antigen-Presenting Cell Function. Current topics in microbiology and immunology. 247. 199–210. 16 indexed citations
2.
Askew, David, Rose S. Chu, Arthur Μ. Krieg, & Clifford V. Harding. (2000). CpG DNA Induces Maturation of Dendritic Cells with Distinct Effects on Nascent and Recycling MHC-II Antigen-Processing Mechanisms. The Journal of Immunology. 165(12). 6889–6895. 109 indexed citations
3.
Chu, Rose S., Tera L. McCool, Neil S. Greenspan, John R. Schreiber, & Clifford V. Harding. (2000). CpG Oligodeoxynucleotides Act as Adjuvants for Pneumococcal Polysaccharide-Protein Conjugate Vaccines and Enhance Antipolysaccharide Immunoglobulin G2a (IgG2a) and IgG3 Antibodies. Infection and Immunity. 68(3). 1450–1456. 64 indexed citations
4.
Ramachandra, Lakshmi, Rose S. Chu, David Askew, et al.. (1999). Phagocytic antigen processing and effects of microbial products on antigen processing and T‐cell responses. Immunological Reviews. 168(1). 217–239. 39 indexed citations
5.
Chu, Rose S., David Askew, Erika H. Noss, et al.. (1999). CpG Oligodeoxynucleotides Down-Regulate Macrophage Class II MHC Antigen Processing. The Journal of Immunology. 163(3). 1188–1194. 62 indexed citations
6.
Askew, David, Rose S. Chu, & Clifford V. Harding. (1999). CpG DNA and LPS cause dendritic cell maturation with distinct effects on nascent and recycling MHC-II antigen processing. 1. 27912. 2 indexed citations
7.
Chu, Rose S., et al.. (1998). FQHC: Harnessing the Incentives of Cost Reimbursement. Journal of Ambulatory Care Management. 21(2). 58–73. 10 indexed citations
8.
Chu, Rose S., Oleg S. Targoni, Arthur Μ. Krieg, Paul Lehmann, & Clifford V. Harding. (1997). CpG Oligodeoxynucleotides Act as Adjuvants that Switch on T Helper 1 (Th1) Immunity. The Journal of Experimental Medicine. 186(10). 1623–1631. 879 indexed citations breakdown →

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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