Marta Pojo

799 total citations
30 papers, 567 citations indexed

About

Marta Pojo is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Marta Pojo has authored 30 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Oncology and 7 papers in Genetics. Recurrent topics in Marta Pojo's work include Glioma Diagnosis and Treatment (6 papers), RNA Research and Splicing (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Marta Pojo is often cited by papers focused on Glioma Diagnosis and Treatment (6 papers), RNA Research and Splicing (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Marta Pojo collaborates with scholars based in Portugal, Brazil and United States. Marta Pojo's co-authors include Bruno M. Costa, Rui Manuel Reis, Duarte C. Barral, Céline S. Gonçalves, Nuno Sousa, Ana Xavier‐Magalhães, Branca Cavaco, Manuel Melo Pires, Fátima Baltazar and Vera Miranda‐Gonçalves and has published in prestigious journals such as International Journal of Molecular Sciences, International Journal of Cancer and Molecules.

In The Last Decade

Marta Pojo

27 papers receiving 564 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marta Pojo Portugal 13 350 245 112 95 60 30 567
Sei Kondo Japan 4 525 1.5× 142 0.6× 88 0.8× 114 1.2× 51 0.8× 6 874
Ching-Fang Chang Taiwan 12 285 0.8× 145 0.6× 78 0.7× 70 0.7× 47 0.8× 18 571
Yongsheng Zhang China 19 604 1.7× 366 1.5× 157 1.4× 62 0.7× 72 1.2× 46 879
Bingxi Lei China 13 405 1.2× 283 1.2× 70 0.6× 128 1.3× 31 0.5× 28 602
Bingxue Shang China 11 318 0.9× 126 0.5× 123 1.1× 43 0.5× 82 1.4× 17 594
Alessandro Colapietro Italy 17 370 1.1× 116 0.5× 262 2.3× 120 1.3× 85 1.4× 34 728
Hua Guo China 13 304 0.9× 185 0.8× 48 0.4× 59 0.6× 48 0.8× 21 448
Mao Ouyang China 12 400 1.1× 298 1.2× 95 0.8× 91 1.0× 171 2.9× 22 681
Raghupathy Vengoji United States 15 422 1.2× 197 0.8× 242 2.2× 82 0.9× 107 1.8× 21 679

Countries citing papers authored by Marta Pojo

Since Specialization
Citations

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

Fields of papers citing papers by Marta Pojo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marta Pojo

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

All Works

20 of 20 papers shown
1.
Roque, Lúcia, Ana Luísa Silva, Hugo Nunes, et al.. (2025). A novel patient-derived cutaneous melanoma cell line reveals key features of metastatic melanoma. Frontiers in Oncology. 15. 1531013–1531013.
2.
Moura, Margarida M., Marta Pojo, Rafael Cabrera, et al.. (2024). Identification of novel candidate predisposing genes in familial nonmedullary thyroid carcinoma implicating DNA damage repair pathways. International Journal of Cancer. 156(1). 130–144. 2 indexed citations
3.
Pinto, Ana Teresa, Marta Pojo, Rune Matthiesen, et al.. (2023). SPRY4 as a Potential Mediator of the Anti-Tumoral Role of Macrophages in Anaplastic Thyroid Cancer Cells. Cancers. 15(17). 4387–4387. 2 indexed citations
4.
Pojo, Marta, Mariana Horta, Rafael Cabrera, et al.. (2023). Clinical and molecular characterisation of metastatic papillary thyroid cancer according to radioiodine therapy outcomes. Endocrine. 84(2). 625–634. 5 indexed citations
5.
Silva, Fernanda, Abel Oliva, Duarte C. Barral, et al.. (2023). BRD9 status is a major contributor for cysteine metabolic remodeling through MST and EAAT3 modulation in malignant melanoma. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(2). 166983–166983. 4 indexed citations
6.
Pojo, Marta, et al.. (2022). The Dark Side of Melanin Secretion in Cutaneous Melanoma Aggressiveness. Frontiers in Oncology. 12. 887366–887366. 35 indexed citations
7.
Castro, Joana Vieira de, Marta Pojo, Céline S. Gonçalves, et al.. (2022). Chronic Stress Does Not Influence the Survival of Mouse Models of Glioblastoma. Frontiers in Oncology. 12. 856210–856210. 3 indexed citations
8.
Gonçalves, Céline S., Marta Pojo, Rita Carvalho, et al.. (2021). Cadherin‐3 is a novel oncogenic biomarker with prognostic value in glioblastoma. Molecular Oncology. 16(14). 2611–2631. 9 indexed citations
9.
Pojo, Marta, Margarida M. Moura, Rafael Cabrera, et al.. (2021). Identification of SPRY4 as a Novel Candidate Susceptibility Gene for Familial Nonmedullary Thyroid Cancer. Thyroid. 31(9). 1366–1375. 11 indexed citations
10.
Costa‐Silva, Bruno, et al.. (2021). Unraveling the Relevance of ARL GTPases in Cutaneous Melanoma Prognosis through Integrated Bioinformatics Analysis. International Journal of Molecular Sciences. 22(17). 9260–9260. 10 indexed citations
11.
Pojo, Marta, et al.. (2020). Melanoma Metabolism: Cell Survival and Resistance to Therapy. Advances in experimental medicine and biology. 1219. 203–223. 20 indexed citations
12.
Barral, Duarte C., et al.. (2020). Subversion of Ras Small GTPases in Cutaneous Melanoma Aggressiveness. Frontiers in Cell and Developmental Biology. 8. 575223–575223. 6 indexed citations
13.
Pinto, Ana Teresa, Marta Pojo, Joana Simões‐Pereira, et al.. (2019). Establishment and characterization of a new patient-derived anaplastic thyroid cancer cell line (C3948), obtained through fine-needle aspiration cytology. Endocrine. 66(2). 288–300. 3 indexed citations
14.
Esteves, Susana, Ana Rita Marques, Carmo Martins, et al.. (2019). Clinical insights gained by refining the 2016 WHO classification of diffuse gliomas with: EGFR amplification, TERT mutations, PTEN deletion and MGMT methylation. BMC Cancer. 19(1). 968–968. 53 indexed citations
15.
Xavier‐Magalhães, Ana, Céline S. Gonçalves, Anne Fogli, et al.. (2018). The long non-coding RNAHOTAIRis transcriptionally activated by HOXA9 and is an independent prognostic marker in patients with malignant glioma. Oncotarget. 9(21). 15740–15756. 36 indexed citations
16.
Pojo, Marta, et al.. (2018). The efficacy of HRAS and CDK4/6 inhibitors in anaplastic thyroid cancer cell lines. Journal of Endocrinological Investigation. 42(5). 527–540. 20 indexed citations
17.
Gonçalves, Céline S., Joana Vieira de Castro, Marta Pojo, et al.. (2018). WNT6 is a novel oncogenic prognostic biomarker in human glioblastoma. Theranostics. 8(17). 4805–4823. 38 indexed citations
18.
Xavier‐Magalhães, Ana, Ana I. Oliveira, Joana Vieira de Castro, et al.. (2017). Effects of the functional HOTAIR rs920778 and rs12826786 genetic variants in glioma susceptibility and patient prognosis. Journal of Neuro-Oncology. 132(1). 27–34. 40 indexed citations
19.
Miranda‐Gonçalves, Vera, Sara Granja, Olga Martinho, et al.. (2016). Hypoxia-mediated upregulation of MCT1 expression supports the glycolytic phenotype of glioblastomas. Oncotarget. 7(29). 46335–46353. 90 indexed citations
20.
Gonçalves, Céline S., Ana Xavier‐Magalhães, Marta Pojo, et al.. (2015). Transcriptional profiling of HOXA9-regulated genes in human glioblastoma cell models. Genomics Data. 5. 54–58. 11 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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