Christopher J. Genito

692 total citations
15 papers, 272 citations indexed

About

Christopher J. Genito is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Virology. According to data from OpenAlex, Christopher J. Genito has authored 15 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Public Health, Environmental and Occupational Health and 4 papers in Virology. Recurrent topics in Christopher J. Genito's work include Malaria Research and Control (5 papers), HIV Research and Treatment (4 papers) and Mosquito-borne diseases and control (4 papers). Christopher J. Genito is often cited by papers focused on Malaria Research and Control (5 papers), HIV Research and Treatment (4 papers) and Mosquito-borne diseases and control (4 papers). Christopher J. Genito collaborates with scholars based in United States and Belgium. Christopher J. Genito's co-authors include Eric M. Bachelder, Kristy M. Ainslie, Cole J. Batty, Lance R. Thurlow, Sheetij Dutta, Zoltán Beck, Gary R. Matyas, Norman C. Waters, Liubov M. Lifshits and Carl R. Alving and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Christopher J. Genito

14 papers receiving 272 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher J. Genito United States 9 89 86 71 45 40 15 272
Joana Marques Portugal 8 108 1.2× 26 0.3× 130 1.8× 25 0.6× 17 0.4× 18 311
Chunmiao Hu China 8 130 1.5× 108 1.3× 69 1.0× 5 0.1× 93 2.3× 12 400
Kawaljit Kaur United States 13 169 1.9× 45 0.5× 15 0.2× 11 0.2× 60 1.5× 28 396
Abhishek Vartak United States 7 190 2.1× 141 1.6× 13 0.2× 16 0.4× 86 2.1× 10 352
Raíssa Prado Rocha Brazil 10 76 0.9× 25 0.3× 51 0.7× 7 0.2× 76 1.9× 18 212
Klaus‐Dieter Hungerer Germany 8 200 2.2× 191 2.2× 33 0.5× 11 0.2× 33 0.8× 11 479
Sofía Lizeth Alcaráz‐Estrada Mexico 12 137 1.5× 30 0.3× 126 1.8× 18 0.4× 110 2.8× 38 386
Huberta A. T. Dekker Netherlands 10 159 1.8× 95 1.1× 36 0.5× 9 0.2× 91 2.3× 12 437
Upendra P. Lambe India 8 80 0.9× 33 0.4× 19 0.3× 6 0.1× 74 1.9× 16 350
Amy Lim United States 10 300 3.4× 175 2.0× 13 0.2× 34 0.8× 26 0.7× 12 447

Countries citing papers authored by Christopher J. Genito

Since Specialization
Citations

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

Fields of papers citing papers by Christopher J. Genito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher J. Genito. 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 Christopher J. Genito. The network helps show where Christopher J. Genito may publish in the future.

Co-authorship network of co-authors of Christopher J. Genito

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

All Works

15 of 15 papers shown
1.
Graham-Gurysh, Elizabeth G., Kathryn M. Moore, Christopher J. Genito, et al.. (2025). Post-resection delivery of a TLR7/8 agonist from a biodegradable scaffold achieves immune-mediated glioblastoma clearance and protection against tumor challenge in mice. Nature Communications. 16(1). 8603–8603.
2.
Genito, Christopher J., Joshua B. Parsons, Sarah E. Rowe, et al.. (2025). Diabetes potentiates the emergence and expansion of antibiotic resistance. Science Advances. 11(7). eads1591–eads1591. 3 indexed citations
3.
Genito, Christopher J., et al.. (2024). mTOR signaling is required for phagocyte free radical production, GLUT1 expression, and control of Staphylococcus aureus infection. mBio. 15(6). e0086224–e0086224. 3 indexed citations
4.
Genito, Christopher J., et al.. (2024). Triple threat: how diabetes results in worsened bacterial infections. Infection and Immunity. 92(9). e0050923–e0050923. 23 indexed citations
5.
Genito, Christopher J., Alexis A. Smith, Emma Ryan, et al.. (2023). Protective antibody threshold of RTS,S/AS01 malaria vaccine correlates antigen and adjuvant dose in mouse model. npj Vaccines. 8(1). 114–114. 5 indexed citations
6.
Genito, Christopher J., et al.. (2023). Impaired mTOR Signaling Causes Immune Suppression in Diabetes. The Journal of Immunology. 210(Supplement_1). 160.04–160.04. 1 indexed citations
7.
Genito, Christopher J., et al.. (2023). Hyperglycemia potentiates increased Staphylococcus aureus virulence and resistance to growth inhibition by Pseudomonas aeruginosa. Microbiology Spectrum. 11(6). e0229923–e0229923. 4 indexed citations
8.
Gallovic, Matthew D., et al.. (2022). A predictive mechanistic model of drug release from surface eroding polymeric nanoparticles. Journal of Controlled Release. 351. 883–895. 45 indexed citations
9.
Genito, Christopher J., Zayda L. Piedra-Quintero, Sai Archana Krovi, et al.. (2021). Dexamethasone and Fumaric Acid Ester Conjugate Synergistically Inhibits Inflammation and NF-κB in Macrophages. Bioconjugate Chemistry. 32(8). 1629–1640. 17 indexed citations
10.
Moore, Kathryn M., et al.. (2020). Injectable, Ribbon-Like Microconfetti Biopolymer Platform for Vaccine Applications. ACS Applied Materials & Interfaces. 12(35). 38950–38961. 15 indexed citations
11.
Genito, Christopher J., Cole J. Batty, Eric M. Bachelder, & Kristy M. Ainslie. (2020). Considerations for Size, Surface Charge, Polymer Degradation, Co‐Delivery, and Manufacturability in the Development of Polymeric Particle Vaccines for Infectious Diseases. SHILAP Revista de lepidopterología. 1(3). 2000041–2000041. 45 indexed citations
12.
Khan, Farhat A., Christopher J. Genito, Xiaoyan Zou, et al.. (2020). Optimization of aPlasmodium falciparumcircumsporozoite protein repeat vaccine using the tobacco mosaic virus platform. Proceedings of the National Academy of Sciences. 117(6). 3114–3122. 23 indexed citations
13.
Genito, Christopher J., Zoltán Beck, Elke S. Bergmann‐Leitner, et al.. (2019). Safety, toxicity and immunogenicity of a malaria vaccine based on the circumsporozoite protein (FMP013) with the adjuvant army liposome formulation containing QS21 (ALFQ). Vaccine. 37(29). 3793–3803. 28 indexed citations
14.
Phares, Timothy W., Christopher J. Genito, Farhat A. Khan, et al.. (2017). Rhesus macaque and mouse models for down-selecting circumsporozoite protein based malaria vaccines differ significantly in immunogenicity and functional outcomes. Malaria Journal. 16(1). 115–115. 12 indexed citations
15.
Genito, Christopher J., Zoltán Beck, Timothy W. Phares, et al.. (2017). Liposomes containing monophosphoryl lipid A and QS-21 serve as an effective adjuvant for soluble circumsporozoite protein malaria vaccine FMP013. Vaccine. 35(31). 3865–3874. 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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