Tércia Alves

11 total papers · 565 total citations
10 papers, 468 citations indexed

About

Tércia Alves is a scholar working on Molecular Biology, Immunology and Allergy and Cancer Research. According to data from OpenAlex, Tércia Alves has authored 10 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Immunology and Allergy and 3 papers in Cancer Research. Recurrent topics in Tércia Alves's work include Cell Adhesion Molecules Research (4 papers), Glioma Diagnosis and Treatment (2 papers) and Protease and Inhibitor Mechanisms (2 papers). Tércia Alves is often cited by papers focused on Cell Adhesion Molecules Research (4 papers), Glioma Diagnosis and Treatment (2 papers) and Protease and Inhibitor Mechanisms (2 papers). Tércia Alves collaborates with scholars based in Brazil, France and United States. Tércia Alves's co-authors include Vivaldo Moura‐Neto, Helena L. Borges, Rossana C. Soletti, Suzana Assad Kahn, Flávia Regina Souza Lima, Luciana Romão, Verônica Morandi, Anna Carolina Carvalho da Fonseca, Luiz Gustavo Dubois and Jane Faria and has published in prestigious journals such as Brain Research, Experimental Cell Research and Life Sciences.

In The Last Decade

Tércia Alves

10 papers receiving 466 citations

Author Peers

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

Author Last Decade Papers Cites
Tércia Alves 246 114 83 70 66 10 468
Luisa Roncali 255 1.0× 70 0.6× 63 0.8× 68 1.0× 84 1.3× 11 502
Katarina Jansson 217 0.9× 86 0.8× 50 0.6× 44 0.6× 56 0.8× 19 547
Dolores V. Dougherty 176 0.7× 125 1.1× 47 0.6× 39 0.6× 114 1.7× 17 444
Garnette Sutherland 247 1.0× 71 0.6× 244 2.9× 61 0.9× 142 2.2× 10 530
Gou-Young Koh 355 1.4× 53 0.5× 118 1.4× 31 0.4× 49 0.7× 10 513
Barbara Ortensi 254 1.0× 121 1.1× 153 1.8× 42 0.6× 166 2.5× 10 465
Miroslav Kubeš 290 1.2× 127 1.1× 93 1.1× 51 0.7× 49 0.7× 10 478
Magdalena Kijewska 194 0.8× 154 1.4× 107 1.3× 29 0.4× 140 2.1× 9 468
Talha Anwar 314 1.3× 83 0.7× 127 1.5× 58 0.8× 175 2.7× 15 534
Manabu Onishi 242 1.0× 157 1.4× 134 1.6× 52 0.7× 76 1.2× 14 425

Countries citing papers authored by Tércia Alves

Since Specialization
Citations

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

Fields of papers citing papers by Tércia Alves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tércia Alves

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026