Marcelino Padilla

5.9k total citations
3 papers, 74 citations indexed

About

Marcelino Padilla is a scholar working on Immunology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Marcelino Padilla has authored 3 papers receiving a total of 74 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Immunology, 1 paper in Infectious Diseases and 1 paper in Molecular Biology. Recurrent topics in Marcelino Padilla's work include Immune Cell Function and Interaction (2 papers), Immunotherapy and Immune Responses (2 papers) and Cancer Immunotherapy and Biomarkers (1 paper). Marcelino Padilla is often cited by papers focused on Immune Cell Function and Interaction (2 papers), Immunotherapy and Immune Responses (2 papers) and Cancer Immunotherapy and Biomarkers (1 paper). Marcelino Padilla collaborates with scholars based in Netherlands, United Kingdom and Finland. Marcelino Padilla's co-authors include Nicholas M. Durham, David A. Hokey, Paul Fields, Sagida Bibi, Adrian B. McDermott, Phillip A. Swanson, Teresa Lambe, Andrew J. Graves, Saul N. Faust and Kelly McGlinchey and has published in prestigious journals such as The Journal of Immunology, Science Translational Medicine and Cytometry Part A.

In The Last Decade

Marcelino Padilla

3 papers receiving 72 citations

Peers

Marcelino Padilla
Ka-Li Zhu China
Arbor G. Dykema United States
Huahua Wan United States
Till Koch Germany
Andriëtte Hiemstra South Africa
Tochi Anioke United States
Ke Lin China
Marcelino Padilla
Citations per year, relative to Marcelino Padilla Marcelino Padilla (= 1×) peers Pinja Jalkanen

Countries citing papers authored by Marcelino Padilla

Since Specialization
Citations

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

Fields of papers citing papers by Marcelino Padilla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcelino Padilla

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

All Works

3 of 3 papers shown
1.
Swanson, Phillip A., Marcelino Padilla, Kelly McGlinchey, et al.. (2021). AZD1222/ChAdOx1 nCoV-19 vaccination induces a polyfunctional spike protein–specific T H 1 response with a diverse TCR repertoire. Science Translational Medicine. 13(620). eabj7211–eabj7211. 59 indexed citations
2.
Graves, Andrew J., et al.. (2015). Performance qualification of a 13-color intracellular cytokine staining assay for the assessment of T cell responses in human PBMCs (TECH3P.932). The Journal of Immunology. 194(1_Supplement). 207.2–207.2. 1 indexed citations
3.
Graves, Andrew J., Marcelino Padilla, & David A. Hokey. (2014). OMIP‐022: Comprehensive assessment of antigen‐specific human T‐cell functionality and memory. Cytometry Part A. 85(7). 576–579. 14 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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