Kris Barreto

825 total citations
32 papers, 611 citations indexed

About

Kris Barreto is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Oncology. According to data from OpenAlex, Kris Barreto has authored 32 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Molecular Biology and 9 papers in Oncology. Recurrent topics in Kris Barreto's work include Monoclonal and Polyclonal Antibodies Research (20 papers), Radiopharmaceutical Chemistry and Applications (8 papers) and Glycosylation and Glycoproteins Research (7 papers). Kris Barreto is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (20 papers), Radiopharmaceutical Chemistry and Applications (8 papers) and Glycosylation and Glycoproteins Research (7 papers). Kris Barreto collaborates with scholars based in Canada, Cuba and United States. Kris Barreto's co-authors include Wendy Bernhard, C. Ronald Geyer, Humphrey Fonge, Ivan Sadowski, Wayne Hill, Ayman El‐Sayed, Matthew S. Dahabieh, V. Raja Solomon, John F. DeCoteau and Md. Kausar Alam and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Journal of Virology.

In The Last Decade

Kris Barreto

30 papers receiving 596 citations

Peers

Kris Barreto

RNMI

ONCOL

VIROL

Sara Venturini United States

Emily D. Streaker United States

Brett Spurrier United States

Torsten Hechler Germany

Marianna Dioszegi United States

Madan Katragadda United States

Lohitha Basa United States

Mary K. O’Reilly United States

Anne Ljungars Denmark

Rebecca Croasdale Switzerland

Sara Venturini United States

Kris Barreto

458 ×1.4

169 ×0.7

RNMI

94 ×0.8

ONCOL

170 ×1.5

VIROL

61 ×0.7

Citations per year, relative to Kris Barreto Kris Barreto (= 1×) peers Sara Venturini

Countries citing papers authored by Kris Barreto

Since Specialization

Citations

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

Fields of papers citing papers by Kris Barreto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kris Barreto

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

All Works

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20 of 20 papers shown

Allan, Nick, Jacob M. Hooker, Wendy Bernhard, et al.. (2025). Olfactory Drug Delivery in Rodents: Deposition and Pharmacokinetics. ACS Pharmacology & Translational Science. 8(7). 2167–2179.

Alizadeh, Elahe, Khan Behlol Ayaz Ahmed, V. Raja Solomon, et al.. (2021). 89Zr-Labeled Domain II-Specific scFv-Fc ImmunoPET Probe for Imaging Epidermal Growth Factor Receptor In Vivo. Cancers. 13(3). 560–560. 9 indexed citations

Pastushok, Landon, Kris Barreto, & C. Ronald Geyer. (2021). Short Read-Length Next Generation DNA Sequencing of Antibody CDR Combinations from Phage Selection Outputs. Methods in molecular biology. 2313. 127–141.

Solomon, V. Raja, Elahe Alizadeh, Wendy Bernhard, et al.. (2020). Development and preclinical evaluation of cixutumumab drug conjugates in a model of insulin growth factor receptor I (IGF-1R) positive cancer. Scientific Reports. 10(1). 18549–18549. 10 indexed citations

Bernhard, Wendy, et al.. (2019). Near infrared imaging of epidermal growth factor receptor positive xenografts in mice with domain I/II specific antibody fragments. Theranostics. 9(4). 974–985. 10 indexed citations

Barreto, Kris, Wayne Hill, Daniel J. Hogan, et al.. (2019). Next-generation sequencing-guided identification and reconstruction of antibody CDR combinations from phage selection outputs. Nucleic Acids Research. 47(9). e50–e50. 42 indexed citations

Hartimath, Siddesh V., Elahe Alizadeh, V. Raja Solomon, et al.. (2019). Preclinical Evaluation of¹¹¹In-Labeled PEGylated Maytansine Nimotuzumab Drug Conjugates in EGFR-Positive Cancer Models. Journal of Nuclear Medicine. 60(8). 1103–1110. 28 indexed citations

El‐Sayed, Ayman, Wendy Bernhard, Kris Barreto, et al.. (2018). Evaluation of antibody fragment properties for near-infrared fluorescence imaging of HER3-positive cancer xenografts. Theranostics. 8(17). 4856–4869. 29 indexed citations

Alam, Md. Kausar, et al.. (2018). A novel synthetic trivalent single chain variable fragment (tri-scFv) construction platform based on the SpyTag/SpyCatcher protein ligase system. BMC Biotechnology. 18(1). 55–55. 20 indexed citations

10.

Solomon, V. Raja, Carolina González, Elahe Alizadeh, et al.. (2018). 99mTc(CO)3+ labeled domain I/II-specific anti-EGFR (scFv)2 antibody fragment for imaging EGFR expression. European Journal of Medicinal Chemistry. 157. 437–446. 10 indexed citations

11.

Alam, Md. Kausar, Ayman El‐Sayed, Kris Barreto, et al.. (2018). Site-Specific Fluorescent Labeling of Antibodies and Diabodies Using SpyTag/SpyCatcher System for In Vivo Optical Imaging. Molecular Imaging and Biology. 21(1). 54–66. 26 indexed citations

12.

Barreto, Kris, Wendy Bernhard, Nicolette S. Honson, et al.. (2017). Compounds producing an effective combinatorial regimen for disruption of HIV ‐1 latency. EMBO Molecular Medicine. 10(2). 160–174. 20 indexed citations

13.

El‐Sayed, Ayman, Jianghai Liu, Wayne Hill, et al.. (2017). A Single‐Framework Synthetic Antibody Library Containing a Combination of Canonical and Variable Complementarity‐Determining Regions. ChemBioChem. 18(22). 2247–2259. 15 indexed citations

14.

Hashemi, Farhad B., et al.. (2016). HIV Provirus Stably Reproduces Parental Latent and Induced Transcription Phenotypes Regardless of the Chromosomal Integration Site. Journal of Virology. 90(11). 5302–5314. 18 indexed citations

15.

Barreto, Kris & C. Ronald Geyer. (2014). Screening Combinatorial Libraries of Cyclic Peptides Using the Yeast Two-Hybrid Assay. Methods in molecular biology. 1163. 273–309. 6 indexed citations

16.

Sadowski, Ivan, Bobby‐Joe Breitkreutz, C. Stark, et al.. (2013). The PhosphoGRID Saccharomyces cerevisiae protein phosphorylation site database: version 2.0 update. Database. 2013(0). bat026–bat026. 83 indexed citations

17.

Barreto, Kris, et al.. (2013). Allosteric Lariat Peptide Inhibitors of Abl Kinase. ChemBioChem. 14(16). 2119–2125. 12 indexed citations

18.

Bernhard, Wendy, Kris Barreto, Sheetal A. Raithatha, & Ivan Sadowski. (2013). An Upstream YY1 Binding Site on the HIV-1 LTR Contributes to Latent Infection. PLoS ONE. 8(10). e77052–e77052. 25 indexed citations

19.

Barreto, Kris, et al.. (2012). Yeast two-hybrid screening of cyclic peptide libraries using a combination of random and PI-deconvolution pooling strategies. Protein Engineering Design and Selection. 25(9). 453–464. 2 indexed citations

20.

Barreto, Kris, et al.. (2009). A Genetic Screen for Isolating “Lariat” Peptide Inhibitors of Protein Function. Chemistry & Biology. 16(11). 1148–1157. 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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