Candido Alicea

2.0k total citations
38 papers, 1.3k citations indexed

About

Candido Alicea is a scholar working on Immunology, Virology and Molecular Biology. According to data from OpenAlex, Candido Alicea has authored 38 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Immunology, 18 papers in Virology and 8 papers in Molecular Biology. Recurrent topics in Candido Alicea's work include HIV Research and Treatment (18 papers), Immune Cell Function and Interaction (18 papers) and Immunotherapy and Immune Responses (16 papers). Candido Alicea is often cited by papers focused on HIV Research and Treatment (18 papers), Immune Cell Function and Interaction (18 papers) and Immunotherapy and Immune Responses (16 papers). Candido Alicea collaborates with scholars based in United States, Spain and France. Candido Alicea's co-authors include Barbara K. Felber, George N. Pavlakis, Margherita Rosati, Antonio Valentin, Cristina Bergamaschi, Rashmi Jalah, Viraj Kulkarni, Stanley M. Belkowski, Vainav Patel and Thomas J. Rogers and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

Candido Alicea

38 papers receiving 1.3k citations

Peers

Candido Alicea
Comparison fields: 5 of 75
  • Immunology 848
  • Virology 447
  • Molecular Biology 337
  • Epidemiology 243
  • Oncology 199
Replace Brian M. Sullivan with:
Brian M. Sullivan United States
Caroline M. Lanigan United States
Michael A. Derby United States
Marina Vaysburd United Kingdom
Nicholas M. Stamatos United States
Marianne M. Martinic Switzerland
Dorian McIlroy France
Marjon Navis Netherlands
Irina Y. Tcherepanova United States
Tiziana Di Pucchio Italy
Brian M. Sullivan United States View profile →
Citations per field, relative to Candido Alicea
Candido Alicea · 1×
Citations per year, relative to Candido Alicea
Candido Alicea · 1×

Countries citing papers authored by Candido Alicea

Since Specialization
Citations

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

Fields of papers citing papers by Candido Alicea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Candido Alicea

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 31
2 29
3 14
4 7
5 7
6 20
7 10
8 40
9
DNA-MVA Prime-Boost Vaccine Eliciting T-Cell Specificities Associated with HIV-1 Control Is Highly Immunogenic in Mice and Breaks CTL Immunodominance
1
10 133
11 54
12 47
13 29
14 20
15 43
16 73
17 21
18 8
19 34
20 78

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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