Julia Barrett

1.7k total citations · 1 hit paper
8 papers, 319 citations indexed

About

Julia Barrett is a scholar working on Infectious Diseases, Immunology and Molecular Biology. According to data from OpenAlex, Julia Barrett has authored 8 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 4 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Julia Barrett's work include SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (3 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). Julia Barrett is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (3 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). Julia Barrett collaborates with scholars based in United States, Netherlands and Germany. Julia Barrett's co-authors include Jingyou Yu, Daniel Sellers, Dan H. Barouch, Michelle A. Lifton, Cindy Wu, Jinyan Liu, Katherine McMahan, Abishek Chandrashekar, Catherine Jacob-Dolan and Michaela Sciacca and has published in prestigious journals such as Nature, Cell and Science Translational Medicine.

In The Last Decade

Julia Barrett

8 papers receiving 314 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Vaccines elicit highly conserved cellular immunity to SARS-CoV-2 Omicron

2022 270 citations Jinyan Liu, Abishek Chandrashekar et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julia Barrett United States	5	281	84	68	38	34	8	319
Cindy Wu United States	2	259 0.9×	73 0.9×	60 0.9×	22 0.6×	34 1.0×	3	289
E. Alexandar Escarrega United States	3	282 1.0×	113 1.3×	86 1.3×	24 0.6×	31 0.9×	3	342
Martin Qui Singapore	6	299 1.1×	95 1.1×	83 1.2×	18 0.5×	38 1.1×	7	349
Maren Bacher Germany	3	358 1.3×	67 0.8×	90 1.3×	21 0.6×	24 0.7×	4	380
Chengzi I. Kaku United States	7	230 0.8×	93 1.1×	52 0.8×	31 0.8×	29 0.9×	9	276
Bezawit A. Woldemeskel United States	8	327 1.2×	97 1.2×	73 1.1×	20 0.5×	30 0.9×	11	372
Bonny Gaby Lui Germany	5	372 1.3×	68 0.8×	121 1.8×	22 0.6×	24 0.7×	6	423
Caroline C. Garliss United States	9	337 1.2×	118 1.4×	77 1.1×	20 0.5×	31 0.9×	15	396
Mona Sadat Larijani Iran	11	225 0.8×	38 0.5×	77 1.1×	79 2.1×	42 1.2×	43	321
Andrea Sutherland United States	2	322 1.1×	52 0.6×	84 1.2×	29 0.8×	19 0.6×	2	357

Countries citing papers authored by Julia Barrett

Since Specialization

Citations

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

Fields of papers citing papers by Julia Barrett

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Barrett

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Barrett. A scholar is included among the top collaborators of Julia Barrett 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 Julia Barrett. Julia Barrett 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.

Vidal, Samuel J., Ninaad Lasrado, Lisa H. Tostanoski, et al.. (2025). Mining the CD4 antigen repertoire for next-generation tuberculosis vaccines. Cell. 188(24). 6791–6803.e13. 1 indexed citations

2.

Barrett, Julia, et al.. (2023). Immune Imprinting and Implications for COVID-19. Vaccines. 11(4). 875–875. 17 indexed citations

3.

Vidal, Samuel J., Daniel Sellers, Jingyou Yu, et al.. (2023). Attenuated Mycobacterium tuberculosis vaccine protection in a low-dose murine challenge model. iScience. 26(6). 106963–106963. 7 indexed citations

4.

Mahrokhian, Shant H., Lisa H. Tostanoski, Catherine Jacob-Dolan, et al.. (2022). Durability and expansion of neutralizing antibody breadth following Ad26.COV2.S vaccination of mice. npj Vaccines. 7(1). 23–23. 6 indexed citations

5.

Dagotto, Gabriel, John D. Ventura, David R. Martinez, et al.. (2022). Immunogenicity and protective efficacy of a rhesus adenoviral vaccine targeting conserved COVID-19 replication transcription complex. npj Vaccines. 7(1). 125–125. 4 indexed citations

6.

Liu, Jinyan, Abishek Chandrashekar, Daniel Sellers, et al.. (2022). Vaccines elicit highly conserved cellular immunity to SARS-CoV-2 Omicron. Nature. 603(7901). 493–496. 270 indexed citations breakdown →

7.

Nkolola, Joseph P., Jingyou Yu, Huahua Wan, et al.. (2022). A bivalent SARS-CoV-2 monoclonal antibody combination does not affect the immunogenicity of a vector-based COVID-19 vaccine in macaques. Science Translational Medicine. 14(665). eabo6160–eabo6160. 4 indexed citations

8.

Lindert, Kelly, Brett Leav, Esther Heijnen, Julia Barrett, & Uwe Nicolay. (2019). Cumulative clinical experience with MF59-adjuvanted trivalent seasonal influenza vaccine in young children and adults 65 years of age and older. International Journal of Infectious Diseases. 85. S10–S17. 10 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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