Jacqueline D. Chu

765 total citations
8 papers, 67 citations indexed

About

Jacqueline D. Chu is a scholar working on Molecular Biology, Virology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jacqueline D. Chu has authored 8 papers receiving a total of 67 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Virology and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jacqueline D. Chu's work include HIV Research and Treatment (3 papers), Mosquito-borne diseases and control (2 papers) and RNA Interference and Gene Delivery (2 papers). Jacqueline D. Chu is often cited by papers focused on HIV Research and Treatment (3 papers), Mosquito-borne diseases and control (2 papers) and RNA Interference and Gene Delivery (2 papers). Jacqueline D. Chu collaborates with scholars based in United States, Netherlands and Türkiye. Jacqueline D. Chu's co-authors include David B. Weiner, Ami Patel, Sarah T. C. Elliott, Megan C. Wise, Kate E. Broderick, Alfredo Perales‐Puchalt, Rianne Esquivel, Hyeree Choi, Edgar Tello‐Ruiz and Kar Muthumani and has published in prestigious journals such as Scientific Reports, The Journal of Infectious Diseases and Infection and Immunity.

In The Last Decade

Jacqueline D. Chu

7 papers receiving 66 citations

Peers

Jacqueline D. Chu

IMMUN

MB

ID

EPIDE

PHEOH

Ann Reyes United States

Nicholas J. Tursi United States

David J. Pattinson Australia

George H. Neubauer United States

Krithika Muthuraman Canada

Kathryn H. Milne United Kingdom

Edgar Tello‐Ruiz United States

Karmela Miklić Croatia

Aintzane Ayestaran Spain

Kaushal Baid Canada

Ann Reyes United States

Jacqueline D. Chu

28 ×1.1

IMMUN

28 ×1.2

MB

47 ×2.5

ID

26 ×1.4

EPIDE

15 ×1.4

PHEOH

Citations per year, relative to Jacqueline D. Chu Jacqueline D. Chu (= 1×) peers Ann Reyes

Countries citing papers authored by Jacqueline D. Chu

Since Specialization

Citations

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

Fields of papers citing papers by Jacqueline D. Chu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacqueline D. Chu

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

All Works

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8 of 8 papers shown

1.

Chu, Jacqueline D., E. Gary, Elizabeth M. Parzych, et al.. (2024). Structure and sequence engineering approaches to improve in vivo expression of nucleic acid-delivered antibodies. Molecular Therapy. 33(1). 152–167.

2.

Tursi, Nicholas J., Sophia M. Reeder, Yevel Flores-García, et al.. (2022). Engineered DNA-encoded monoclonal antibodies targeting Plasmodium falciparum circumsporozoite protein confer single dose protection in a murine malaria challenge model. Scientific Reports. 12(1). 14313–14313. 2 indexed citations

3.

Reeder, Sophia M., Mamadou A. Bah, Nicholas J. Tursi, et al.. (2021). Strategic Variants of CSP Delivered as SynDNA Vaccines Demonstrate Heterogeneity of Immunogenicity and Protection from Plasmodium Infection in a Murine Model. Infection and Immunity. 89(10). e0072820–e0072820. 4 indexed citations

4.

Parzych, Elizabeth M., Sunita Gulati, Bo Zheng, et al.. (2021). Synthetic DNA Delivery of an Optimized and Engineered Monoclonal Antibody Provides Rapid and Prolonged Protection against Experimental Gonococcal Infection. mBio. 12(2). 14 indexed citations

5.

Reeder, Sophia M., Emma L. Reuschel, Mamadou A. Bah, et al.. (2020). Synthetic DNA Vaccines Adjuvanted with pIL-33 Drive Liver-Localized T Cells and Provide Protection from Plasmodium Challenge in a Mouse Model. Vaccines. 8(1). 21–21. 3 indexed citations

6.

Xu, Ziyang, Megan C. Wise, Hyeree Choi, et al.. (2018). Synthetic DNA delivery by electroporation promotes robust in vivo sulfation of broadly neutralizing anti-HIV immunoadhesin eCD4-Ig. EBioMedicine. 35. 97–105. 15 indexed citations

7.

Elliott, Sarah T. C., Amelia A. Keaton, Jacqueline D. Chu, et al.. (2018). A Synthetic Micro-Consensus DNA Vaccine Generates Comprehensive Influenza A H3N2 Immunity and Protects Mice Against Lethal Challenge by Multiple H3N2 Viruses. Human Gene Therapy. 29(9). 1044–1055. 13 indexed citations

8.

Wang, Yang, Rianne Esquivel, Seleeke Flingai, et al.. (2018). Anti-OspA DNA-Encoded Monoclonal Antibody Prevents Transmission of Spirochetes in Tick Challenge Providing Sterilizing Immunity in Mice. The Journal of Infectious Diseases. 219(7). 1146–1150. 16 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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