Gina Cusimano

465 total citations · 1 hit paper
5 papers, 134 citations indexed

About

Gina Cusimano is a scholar working on Immunology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Gina Cusimano has authored 5 papers receiving a total of 134 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 2 papers in Infectious Diseases and 1 paper in Molecular Biology. Recurrent topics in Gina Cusimano's work include Immune Cell Function and Interaction (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Immune responses and vaccinations (2 papers). Gina Cusimano is often cited by papers focused on Immune Cell Function and Interaction (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Immune responses and vaccinations (2 papers). Gina Cusimano collaborates with scholars based in United States, Saudi Arabia and Canada. Gina Cusimano's co-authors include Jennifer Connors, Michele A. Kutzler, Elias K. Haddad, Abdullah M. Izmirly, Matthew R. Bell, Paulo J.C. Lin, Drew Weissman, Ying K. Tam, Mohamad‐Gabriel Alameh and Victor R. DeFilippis and has published in prestigious journals such as The Journal of Immunology, Frontiers in Immunology and Human Vaccines & Immunotherapeutics.

In The Last Decade

Gina Cusimano

5 papers receiving 132 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.

Lipid nanoparticles (LNP) induce activation and maturation of antigen presenting cells in young and aged individuals

2023 65 citations Jennifer Connors, Gina Cusimano et al. Communications Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gina Cusimano United States	4	66	57	54	11	11	5	134
Elizabeth Champney United States	4	73 1.1×	70 1.2×	49 0.9×	8 0.7×	18 1.6×	4	150
Taras M. Chicz United States	5	96 1.5×	90 1.6×	72 1.3×	9 0.8×	16 1.5×	8	193
Julie Eggenberger United States	5	132 2.0×	49 0.9×	76 1.4×	17 1.5×	12 1.1×	6	191
Yuezhou Chen United States	6	103 1.6×	50 0.9×	62 1.1×	13 1.2×	16 1.5×	8	158
Jia Xin Yee Singapore	4	140 2.1×	42 0.7×	47 0.9×	17 1.5×	21 1.9×	9	169
Sebastian Einhauser Germany	8	121 1.8×	31 0.5×	21 0.4×	15 1.4×	19 1.7×	14	146
Aracelly Gaete-Argel Chile	8	71 1.1×	98 1.7×	23 0.4×	10 0.9×	7 0.6×	15	174
Daniel Louiselle United States	7	101 1.5×	53 0.9×	25 0.5×	20 1.8×	18 1.6×	10	171
Dan‐yun Lai China	6	116 1.8×	77 1.4×	29 0.5×	4 0.4×	27 2.5×	12	170
Rachael E. Whaley United States	2	198 3.0×	56 1.0×	44 0.8×	5 0.5×	24 2.2×	2	214

Countries citing papers authored by Gina Cusimano

Since Specialization

Citations

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

Fields of papers citing papers by Gina Cusimano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gina Cusimano

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

All Works

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5 of 5 papers shown

1.

Connors, Jennifer, Gina Cusimano, Matthew R. Bell, et al.. (2023). Lipid nanoparticles (LNP) induce activation and maturation of antigen presenting cells in young and aged individuals. Communications Biology. 6(1). 188–188. 65 indexed citations breakdown →

2.

Connors, Jennifer, Gina Cusimano, Matthew R. Bell, et al.. (2023). Using the power of innate immunoprofiling to understand vaccine design, infection, and immunity. Human Vaccines & Immunotherapeutics. 19(3). 2267295–2267295. 6 indexed citations

3.

Cusimano, Gina, E. Gary, Matthew R. Bell, et al.. (2022). Improved Durability to SARS-CoV-2 Vaccine Immunity following Coimmunization with Molecular Adjuvant Adenosine Deaminase-1. The Journal of Immunology. 209(1). 118–127. 3 indexed citations

4.

Connors, Jennifer, Gina Cusimano, Matthew R. Bell, et al.. (2022). Aging alters antiviral signaling pathways resulting in functional impairment in innate immunity in response to pattern recognition receptor agonists. GeroScience. 44(5). 2555–2572. 12 indexed citations

5.

Connors, Jennifer, et al.. (2020). The 2020 Pandemic: Current SARS-CoV-2 Vaccine Development. Frontiers in Immunology. 11. 1880–1880. 48 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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