Ana C. Gregório

443 total citations
9 papers, 293 citations indexed

About

Ana C. Gregório is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ana C. Gregório has authored 9 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ana C. Gregório's work include RNA modifications and cancer (3 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Cancer Cells and Metastasis (3 papers). Ana C. Gregório is often cited by papers focused on RNA modifications and cancer (3 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Cancer Cells and Metastasis (3 papers). Ana C. Gregório collaborates with scholars based in Portugal, Brazil and India. Ana C. Gregório's co-authors include Sérgio Simões, João Nuno Moreira, Nuno A. Fonseca, Manuela Lacerda, Sérgio Dias, Paulo Figueiredo, Vera Moura, Bruno Costa‐Silva, Sílvia Batista and Nuno Couto and has published in prestigious journals such as PLoS ONE, Biomaterials and Cancer Treatment Reviews.

In The Last Decade

Ana C. Gregório

9 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ana C. Gregório Portugal 9 181 73 64 45 33 9 293
Keun‐Yeong Jeong South Korea 12 125 0.7× 99 1.4× 50 0.8× 49 1.1× 19 0.6× 37 403
Jill E. Lynch United States 6 138 0.8× 74 1.0× 33 0.5× 41 0.9× 20 0.6× 6 259
Ying Xie China 11 233 1.3× 142 1.9× 80 1.3× 104 2.3× 47 1.4× 18 495
Jungyoon Choi South Korea 8 134 0.7× 49 0.7× 109 1.7× 21 0.5× 30 0.9× 23 395
Yujia Shen China 11 72 0.4× 57 0.8× 148 2.3× 31 0.7× 45 1.4× 20 313
Riccardo Rizzo Italy 13 320 1.8× 44 0.6× 49 0.8× 20 0.4× 25 0.8× 20 523
Ilya Gubskiy Russia 10 162 0.9× 37 0.5× 86 1.3× 23 0.5× 41 1.2× 35 451
G. Praveen Raju United States 9 273 1.5× 35 0.5× 64 1.0× 34 0.8× 20 0.6× 13 414

Countries citing papers authored by Ana C. Gregório

Since Specialization
Citations

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

Fields of papers citing papers by Ana C. Gregório

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ana C. Gregório. 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 Ana C. Gregório. The network helps show where Ana C. Gregório may publish in the future.

Co-authorship network of co-authors of Ana C. Gregório

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

All Works

9 of 9 papers shown
1.
Fonseca, Nuno A., Nélio Gonçalves, Ana C. Gregório, et al.. (2022). Nucleolin Overexpression Predicts Patient Prognosis While Providing a Framework for Targeted Therapeutic Intervention in Lung Cancer. Cancers. 14(9). 2217–2217. 8 indexed citations
2.
Maia, Joana, Sílvia Batista, Nuno Couto, et al.. (2020). Employing Flow Cytometry to Extracellular Vesicles Sample Microvolume Analysis and Quality Control. Frontiers in Cell and Developmental Biology. 8(48). 156–191. 43 indexed citations
3.
Batista, Sílvia, Ana C. Gregório, Andréia Hanada Otake, Nuno Couto, & Bruno Costa‐Silva. (2019). The Gastrointestinal Tumor Microenvironment: An Updated Biological and Clinical Perspective. Journal of Oncology. 2019. 1–22. 13 indexed citations
4.
Gregório, Ana C., Manuela Lacerda, Paulo Figueiredo, et al.. (2018). Meeting the needs of breast cancer: A nucleolin’s perspective. Critical Reviews in Oncology/Hematology. 125. 89–101. 33 indexed citations
5.
Gregório, Ana C., Manuela Lacerda, Paulo Figueiredo, et al.. (2017). Therapeutic Implications of the Molecular and Immune Landscape of Triple-Negative Breast Cancer. Pathology & Oncology Research. 24(4). 701–716. 21 indexed citations
6.
Gregório, Ana C., Nuno A. Fonseca, Vera Moura, et al.. (2016). Inoculated Cell Density as a Determinant Factor of the Growth Dynamics and Metastatic Efficiency of a Breast Cancer Murine Model. PLoS ONE. 11(11). e0165817–e0165817. 30 indexed citations
7.
Fonseca, Nuno A., Ana Sofia Rodrigues, Paulo Rodrigues‐Santos, et al.. (2015). Nucleolin overexpression in breast cancer cell sub-populations with different stem-like phenotype enables targeted intracellular delivery of synergistic drug combination. Biomaterials. 69. 76–88. 73 indexed citations
8.
Fonseca, Nuno A., et al.. (2014). Bridging cancer biology and the patients' needs with nanotechnology-based approaches. Cancer Treatment Reviews. 40(5). 626–635. 35 indexed citations
9.
Gregório, Ana C., et al.. (2011). Time Determines the Neural Circuit Underlying Associative Fear Learning. Frontiers in Behavioral Neuroscience. 5. 89–89. 37 indexed citations

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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