Jaclyn Milton

1.1k total citations
10 papers, 867 citations indexed

About

Jaclyn Milton is a scholar working on Molecular Biology, Immunology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jaclyn Milton has authored 10 papers receiving a total of 867 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Immunology and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Jaclyn Milton's work include RNA Interference and Gene Delivery (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Immunotherapy and Immune Responses (2 papers). Jaclyn Milton is often cited by papers focused on RNA Interference and Gene Delivery (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Immunotherapy and Immune Responses (2 papers). Jaclyn Milton collaborates with scholars based in United States, Chile and South Korea. Jaclyn Milton's co-authors include Nazila Kamaly, Omid C. Farokhzad, Gabrielle Fredman, Ira Tabas, Staci Sabnis, Devram Sampat Ghorpade, George Kuriakose, Stefano Spolitu, Mauro Perretti and Kerry E. Benenato and has published in prestigious journals such as ACS Nano, Advanced Functional Materials and The American Journal of Human Genetics.

In The Last Decade

Jaclyn Milton

9 papers receiving 838 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jaclyn Milton United States	8	473	263	119	97	92	10	867
Iran Rashedi Canada	11	515 1.1×	225 0.9×	65 0.5×	134 1.4×	56 0.6×	18	996
Kelvin S. Ng United States	8	514 1.1×	212 0.8×	61 0.5×	159 1.6×	88 1.0×	8	733
Lin Wan China	17	465 1.0×	144 0.5×	77 0.6×	70 0.7×	90 1.0×	38	843
Yuka Ikeda Japan	17	522 1.1×	172 0.7×	84 0.7×	98 1.0×	98 1.1×	35	899
Sylva Haralambous Greece	13	258 0.5×	350 1.3×	60 0.5×	78 0.8×	35 0.4×	19	943
Scott Chaffee United States	7	340 0.7×	306 1.2×	84 0.7×	134 1.4×	97 1.1×	7	924
Zhao Yang China	16	341 0.7×	148 0.6×	78 0.7×	96 1.0×	145 1.6×	35	907
Srinath Govindarajan Belgium	15	223 0.5×	242 0.9×	76 0.6×	41 0.4×	68 0.7×	24	692

Countries citing papers authored by Jaclyn Milton

Since Specialization

Citations

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

Fields of papers citing papers by Jaclyn Milton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaclyn Milton

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

All Works

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10 of 10 papers shown

Cornebise, Mark, Elisabeth Narayanan, Yan Xia, et al.. (2021). Discovery of a Novel Amino Lipid That Improves Lipid Nanoparticle Performance through Specific Interactions with mRNA. Advanced Functional Materials. 32(8). 96 indexed citations

Ding, An, Andrea Frassetto, Eric Jacquinet, et al.. (2019). Long-term efficacy and safety of mRNA therapy in two murine models of methylmalonic acidemia. EBioMedicine. 45. 519–528. 62 indexed citations

Zhu, Xuling, Ling Yin, Summar Siddiqui, et al.. (2019). Systemic mRNA Therapy for the Treatment of Fabry Disease: Preclinical Studies in Wild-Type Mice, Fabry Mouse Model, and Wild-Type Non-human Primates. The American Journal of Human Genetics. 104(4). 625–637. 122 indexed citations

Besin, Gilles, Jaclyn Milton, Staci Sabnis, et al.. (2019). Accelerated Blood Clearance of Lipid Nanoparticles Entails a Biphasic Humoral Response of B-1 Followed by B-2 Lymphocytes to Distinct Antigenic Moieties. ImmunoHorizons. 3(7). 282–293. 80 indexed citations

Kamaly, Nazila, Gabrielle Fredman, Manikandan Subramanian, et al.. (2016). Targeted Interleukin-10 Nanotherapeutics Developed with a Microfluidic Chip Enhance Resolution of Inflammation in Advanced Atherosclerosis. ACS Nano. 10(5). 5280–5292. 176 indexed citations

Fredman, Gabrielle, Nazila Kamaly, Stefano Spolitu, et al.. (2015). Targeted nanoparticles containing the proresolving peptide Ac2-26 protect against advanced atherosclerosis in hypercholesterolemic mice. Science Translational Medicine. 7(275). 275ra20–275ra20. 280 indexed citations

Mowbray, J F, et al.. (2015). Studies on the Mode of Action of Immunosuppressive Ribonucleases. Antibiotics and chemotherapy/Antibiotica et chemotherapia. 15. 384–392.

Milton, Jaclyn & J F Mowbray. (1972). Reversible loss of surface receptors on lymphocytes.. PubMed. 23(4). 599–608. 17 indexed citations

Carpenter, Charles B., Jaclyn Milton, J F Mowbray, & A Butterworth. (1972). Immunosuppressive properties of a ribonuclease-containing fraction from bacterial cultures.. PubMed. 23(2). 171–82. 5 indexed citations

10.

Milton, Jaclyn. (1971). Effect of an immunosuppressive serum alpha-2-glycoprotein with ribonuclease activity on the proliferation of human lymphocytes in culture.. PubMed. 20(2). 205–12. 29 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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