Alberto Rivas

11 total papers · 1.0k total citations
8 papers, 796 citations indexed

About

Alberto Rivas is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Alberto Rivas has authored 8 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Alberto Rivas's work include T-cell and B-cell Immunology (5 papers), Immunotherapy and Immune Responses (3 papers) and Immune Cell Function and Interaction (3 papers). Alberto Rivas is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Immunotherapy and Immune Responses (3 papers) and Immune Cell Function and Interaction (3 papers). Alberto Rivas collaborates with scholars based in United States, Venezuela and France. Alberto Rivas's co-authors include Edgar G. Engleman, Yafei Hou, Claudia Benike, Lawrence Fong, Alan R. Yuen, George A. Fisher, Mark M. Davis, Laurence Zitvogel, Jean‐Bernard Le Pecq and Eric Angevin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and The Journal of Immunology.

In The Last Decade

Alberto Rivas

8 papers receiving 766 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Alberto Rivas 555 426 291 141 59 8 796
Nicole Provost 509 0.9× 270 0.6× 455 1.6× 168 1.2× 84 1.4× 10 983
Stefanie Loeser 479 0.9× 341 0.8× 301 1.0× 117 0.8× 89 1.5× 7 813
Christine Hanlon 404 0.7× 348 0.8× 409 1.4× 138 1.0× 22 0.4× 5 757
William Hallett 513 0.9× 329 0.8× 493 1.7× 230 1.6× 28 0.5× 16 1.0k
Jörg Volkland 244 0.4× 464 1.1× 335 1.2× 133 0.9× 78 1.3× 9 709
Jennifer A. Belisle 492 0.9× 383 0.9× 234 0.8× 123 0.9× 44 0.7× 8 894
Chloé Chong 625 1.1× 763 1.8× 468 1.6× 261 1.9× 36 0.6× 16 1.0k
Judy Browning 678 1.2× 391 0.9× 428 1.5× 68 0.5× 62 1.1× 18 924
Caitlyn L. Miller 219 0.4× 586 1.4× 260 0.9× 104 0.7× 29 0.5× 9 799
Adam H. Courtney 467 0.8× 364 0.9× 219 0.8× 104 0.7× 32 0.5× 12 815

Countries citing papers authored by Alberto Rivas

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Rivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alberto Rivas

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

All Works

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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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