Gerardo Gatti

42 total papers · 641 total citations
21 papers, 520 citations indexed

About

Gerardo Gatti is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Gerardo Gatti has authored 21 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 5 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Gerardo Gatti's work include Immune Response and Inflammation (7 papers), Immunotherapy and Immune Responses (6 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Gerardo Gatti is often cited by papers focused on Immune Response and Inflammation (7 papers), Immunotherapy and Immune Responses (6 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Gerardo Gatti collaborates with scholars based in Argentina, Spain and Switzerland. Gerardo Gatti's co-authors include Mariana Maccioni, Virginia E. Rivero, Rubén D. Motrich, Virginia Andreani, Juan Pablo Mackern‐Oberti, Andrés Alberto Ponce, Laura Cervi, Nicolás Gonzalo Núñez, María P. Zunino and Cecilia Cuffini and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Cancer Research.

In The Last Decade

Gerardo Gatti

20 papers receiving 517 citations

Author Peers

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

Author Last Decade Papers Cites
Gerardo Gatti 227 87 68 55 53 21 520
Nahid Zainodini 167 0.7× 160 1.8× 46 0.7× 14 0.3× 23 0.4× 39 477
Walter Bagdon 155 0.7× 256 2.9× 31 0.5× 67 1.2× 32 0.6× 16 584
Liliana Borges de Menezes 86 0.4× 124 1.4× 87 1.3× 12 0.2× 73 1.4× 40 579
Masae Takahashi 68 0.3× 94 1.1× 16 0.2× 21 0.4× 23 0.4× 34 554
Denis Polančec 106 0.5× 126 1.4× 47 0.7× 36 0.7× 57 1.1× 25 528
K. Moore 69 0.3× 148 1.7× 32 0.5× 19 0.3× 14 0.3× 27 559
Felipe Rodolfo Pereira da Silva 76 0.3× 98 1.1× 34 0.5× 11 0.2× 31 0.6× 35 513
Guiqin Wang 49 0.2× 191 2.2× 44 0.6× 12 0.2× 26 0.5× 33 497
Parvaneh Farzaneh 76 0.3× 199 2.3× 82 1.2× 9 0.2× 18 0.3× 28 498
P. M. Andrade 99 0.4× 191 2.2× 43 0.6× 12 0.2× 30 0.6× 22 593

Countries citing papers authored by Gerardo Gatti

Since Specialization
Citations

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

Fields of papers citing papers by Gerardo Gatti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerardo Gatti

This figure shows the co-authorship network connecting the top 25 collaborators of Gerardo Gatti. A scholar is included among the top collaborators of Gerardo Gatti 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 Gerardo Gatti. Gerardo Gatti 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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