Jonathan Vazquez‐Perez

531 total citations
8 papers, 329 citations indexed

About

Jonathan Vazquez‐Perez is a scholar working on Immunology, Oncology and Pharmacology. According to data from OpenAlex, Jonathan Vazquez‐Perez has authored 8 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Oncology and 2 papers in Pharmacology. Recurrent topics in Jonathan Vazquez‐Perez's work include Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Jonathan Vazquez‐Perez is often cited by papers focused on Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Jonathan Vazquez‐Perez collaborates with scholars based in United States, Italy and Israel. Jonathan Vazquez‐Perez's co-authors include William K. Decker, Vanaja Konduri, Jonathan M. Levitt, Scott A. Weldon, Matthew M. Halpert, Christopher D. Verrico, Kenneth Dunner, Pedram Salimpour, Jianrong Li and Dafei Chai and has published in prestigious journals such as The Journal of Immunology, The FASEB Journal and Pain.

In The Last Decade

Jonathan Vazquez‐Perez

7 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Vazquez‐Perez United States 6 125 109 106 44 27 8 329
Jessica M. Sido United States 10 294 2.4× 140 1.3× 145 1.4× 103 2.3× 13 0.5× 13 503
Maria Teresa Lepore Italy 6 83 0.7× 25 0.2× 62 0.6× 45 1.0× 18 0.7× 13 210
Shobha Dagamajalu India 13 82 0.7× 33 0.3× 44 0.4× 139 3.2× 21 0.8× 34 367
Magdalena Grill Austria 12 74 0.6× 17 0.2× 132 1.2× 110 2.5× 28 1.0× 18 384
Gianluca D’Agostino Italy 11 164 1.3× 134 1.2× 19 0.2× 97 2.2× 7 0.3× 18 348
Laura Schembri Italy 14 138 1.1× 102 0.9× 13 0.1× 139 3.2× 13 0.5× 28 445
Dominick L. Auci United States 13 97 0.8× 34 0.3× 35 0.3× 76 1.7× 82 3.0× 23 369
Foteini Kiagiadaki Greece 10 69 0.6× 34 0.3× 43 0.4× 139 3.2× 75 2.8× 11 379
Wan Ni China 9 212 1.7× 60 0.6× 16 0.2× 45 1.0× 18 0.7× 23 369
Disala Fernando United Kingdom 11 70 0.6× 43 0.4× 16 0.2× 72 1.6× 20 0.7× 17 373

Countries citing papers authored by Jonathan Vazquez‐Perez

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Vazquez‐Perez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Vazquez‐Perez. 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 Jonathan Vazquez‐Perez. The network helps show where Jonathan Vazquez‐Perez may publish in the future.

Co-authorship network of co-authors of Jonathan Vazquez‐Perez

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

All Works

8 of 8 papers shown
1.
Sobhani, Navid, Dafei Chai, Daniele Generali, et al.. (2024). Artificial intelligence-powered discovery of small molecules inhibiting CTLA-4 in cancer. PubMed. 2(1). 13 indexed citations
2.
Halpert, Matthew M., Spencer R. Rosario, Henry Withers, et al.. (2024). Multifactoral immune modulation potentiates durable remission in multiple models of aggressive malignancy. The FASEB Journal. 38(10). e23644–e23644.
3.
Konduri, Vanaja, Jonathan Vazquez‐Perez, Scott A. Weldon, et al.. (2021). CD8+CD161+ T-Cells: Cytotoxic Memory Cells With High Therapeutic Potential. Frontiers in Immunology. 11. 613204–613204. 67 indexed citations
4.
Konduri, Vanaja, Sujith K. Joseph, Tiara T. Byrd, et al.. (2021). A subset of cytotoxic effector memory T cells enhances CAR T cell efficacy in a model of pancreatic ductal adenocarcinoma. Science Translational Medicine. 13(592). 19 indexed citations
5.
Halpert, Matthew M., Vanaja Konduri, Dan Liang, et al.. (2020). MHC class I and II peptide homology regulates the cellular immune response. The FASEB Journal. 34(6). 8082–8101. 10 indexed citations
6.
Konduri, Vanaja, et al.. (2020). Beyond T-Cells: Functional Characterization of CTLA-4 Expression in Immune and Non-Immune Cell Types. Frontiers in Immunology. 11. 608024–608024. 91 indexed citations
7.
Verrico, Christopher D., Vanaja Konduri, Jonathan Vazquez‐Perez, et al.. (2020). A randomized, double-blind, placebo-controlled study of daily cannabidiol for the treatment of canine osteoarthritis pain. Pain. 161(9). 2191–2202. 127 indexed citations
8.
Halpert, Matthew M., Vanaja Konduri, Jonathan Vazquez‐Perez, et al.. (2020). A Randomized, Double-Blind, Placebo-Controlled Study of Daily Cannabidiol for the Treatment of Canine Osteoarthritis. The Journal of Immunology. 204(1_Supplement). 67.11–67.11. 2 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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