Tércia Alves

575 total citations
10 papers, 470 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 470 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, Anna Carolina Carvalho da Fonseca, Verônica Morandi, 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 468 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tércia Alves Brazil 9 246 114 83 70 67 10 470
Yajuan Xiao China 14 435 1.8× 115 1.0× 136 1.6× 37 0.5× 99 1.5× 27 690
Sami Khoshyomn United States 13 166 0.7× 107 0.9× 52 0.6× 66 0.9× 88 1.3× 31 496
Xifeng Fei China 14 301 1.2× 103 0.9× 231 2.8× 47 0.7× 120 1.8× 38 606
Daisy Sproviero Italy 18 634 2.6× 176 1.5× 146 1.8× 42 0.6× 62 0.9× 27 892
Aparna Kaul United States 11 274 1.1× 129 1.1× 66 0.8× 96 1.4× 68 1.0× 13 676
Brian Golbourn Canada 14 334 1.4× 167 1.5× 125 1.5× 134 1.9× 116 1.7× 24 676
Fenghua Zhou China 16 448 1.8× 69 0.6× 231 2.8× 41 0.6× 95 1.4× 19 645
Jiang Du China 15 288 1.2× 47 0.4× 107 1.3× 81 1.2× 52 0.8× 31 547
Ching-Fang Chang Taiwan 12 285 1.2× 70 0.6× 145 1.7× 80 1.1× 78 1.2× 18 571
Douglas C. Miller United States 9 310 1.3× 72 0.6× 116 1.4× 56 0.8× 61 0.9× 14 456

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

10 of 10 papers shown
1.
Carballo, Camila B., et al.. (2018). Osteoarthritic Synovial Fluid and TGF-β1 Induce Interleukin-18 in Articular Chondrocytes. Cartilage. 11(3). 385–394. 8 indexed citations
2.
Lima, Lı́dia Moreira, Eliezer J. Barreiro, Tércia Alves, et al.. (2012). LASSBio-542: Novel Thalidomide Analog Distinctly Modulates IL-10 and Inhibits Angiogenesis. Current Bioactive Compounds. 8(2). 167–175. 1 indexed citations
3.
Lima, Flávia Regina Souza, Suzana Assad Kahn, Rossana C. Soletti, et al.. (2012). Glioblastoma: Therapeutic challenges, what lies ahead. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1826(2). 338–349. 122 indexed citations
4.
Alves, Tércia, Anna Carolina Carvalho da Fonseca, Sara S. Nunes, et al.. (2011). Tenascin-C in the extracellular matrix promotes the selection of highly proliferative and tubulogenesis-defective endothelial cells. Experimental Cell Research. 317(15). 2073–2085. 19 indexed citations
5.
Alves, Tércia, Flávia Regina Souza Lima, Suzana Assad Kahn, et al.. (2011). Glioblastoma cells: A heterogeneous and fatal tumor interacting with the parenchyma. Life Sciences. 89(15-16). 532–539. 105 indexed citations
6.
Stipursky, Joice, Elaine C. Souza, Anderson Junger Teodoro, et al.. (2011). Estradiol modulates TGF-β1 expression and its signaling pathway in thyroid stromal cells. Molecular and Cellular Endocrinology. 337(1-2). 71–79. 22 indexed citations
7.
Loureiro, Samanta Oliveira, Luciana Romão, Tércia Alves, et al.. (2010). Homocysteine induces cytoskeletal remodeling and production of reactive oxygen species in cultured cortical astrocytes. Brain Research. 1355. 151–164. 50 indexed citations
8.
Soletti, Rossana C., Tércia Alves, Javier Vernal, et al.. (2010). Inhibition of MAPK/ERK, PKC and CaMKII signaling blocks cytolysin-induced human glioma cell death.. PubMed. 30(4). 1209–15. 21 indexed citations
9.
Faria, Jane, Luciana Romão, Tércia Alves, et al.. (2006). Interactive properties of human glioblastoma cells with brain neurons in culture and neuronal modulation of glial laminin organization. Differentiation. 74(9-10). 562–572. 54 indexed citations
10.

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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