Maria Sofia Fernandes

1.4k total citations
18 papers, 835 citations indexed

About

Maria Sofia Fernandes is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Maria Sofia Fernandes has authored 18 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Oncology. Recurrent topics in Maria Sofia Fernandes's work include Cancer-related gene regulation (6 papers), Reproductive System and Pregnancy (4 papers) and Wnt/β-catenin signaling in development and cancer (4 papers). Maria Sofia Fernandes is often cited by papers focused on Cancer-related gene regulation (6 papers), Reproductive System and Pregnancy (4 papers) and Wnt/β-catenin signaling in development and cancer (4 papers). Maria Sofia Fernandes collaborates with scholars based in Portugal, Germany and United Kingdom. Maria Sofia Fernandes's co-authors include Jan J. Brosens, Birgit Gellersen, Raquel Seruca, Joana Figueiredo, Soraia Melo, Patrı́cia Carneiro, Carla Oliveíra, Ilpo Huhtaniemi, Eric W.‐F. Lam and Fátima Carneiro and has published in prestigious journals such as Scientific Reports, FEBS Letters and International Journal of Molecular Sciences.

In The Last Decade

Maria Sofia Fernandes

18 papers receiving 818 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Sofia Fernandes Portugal 13 343 266 263 155 130 18 835
Marta González Spain 16 228 0.7× 119 0.4× 84 0.3× 211 1.4× 123 0.9× 25 726
Masashi Yukawa Japan 16 743 2.2× 141 0.5× 182 0.7× 70 0.5× 148 1.1× 20 1.1k
Natalie K. Ryan Australia 14 720 2.1× 181 0.7× 145 0.6× 213 1.4× 116 0.9× 20 1.4k
Véronique Machelon France 11 256 0.7× 150 0.6× 352 1.3× 142 0.9× 364 2.8× 16 816
Tesa Severson Netherlands 17 459 1.3× 237 0.9× 98 0.4× 48 0.3× 249 1.9× 29 835
Preeti M. Ismail Canada 9 282 0.8× 225 0.8× 123 0.5× 56 0.4× 165 1.3× 15 614
Ningling Kang‐Decker United States 7 573 1.7× 156 0.6× 66 0.3× 208 1.3× 117 0.9× 7 970
Huei San Leong Australia 9 390 1.1× 110 0.4× 108 0.4× 44 0.3× 90 0.7× 11 686
Atsuya Nishiyama Japan 16 1.4k 4.0× 242 0.9× 83 0.3× 46 0.3× 200 1.5× 29 1.6k

Countries citing papers authored by Maria Sofia Fernandes

Since Specialization
Citations

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

Fields of papers citing papers by Maria Sofia Fernandes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Sofia Fernandes. 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 Maria Sofia Fernandes. The network helps show where Maria Sofia Fernandes may publish in the future.

Co-authorship network of co-authors of Maria Sofia Fernandes

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

All Works

18 of 18 papers shown
1.
Fernandes, Maria Sofia, Ana Moreira, Soraia Melo, et al.. (2021). A machine learning approach for single cell interphase cell cycle staging. Scientific Reports. 11(1). 19278–19278. 5 indexed citations
2.
Moreira, Ana, Soraia Melo, Maria Sofia Fernandes, et al.. (2020). The Extracellular Matrix: An Accomplice in Gastric Cancer Development and Progression. Cells. 9(2). 394–394. 74 indexed citations
3.
Fernandes, Maria Sofia, et al.. (2020). Interphase Cell Cycle Staging using Deep Learning. PubMed. 2020. 1432–1435. 2 indexed citations
4.
Carneiro, Patrı́cia, Ana Moreira, Joana Figueiredo, et al.. (2019). S100P is a molecular determinant of E-cadherin function in gastric cancer. Cell Communication and Signaling. 17(1). 155–155. 15 indexed citations
5.
Figueiredo, Joana, Soraia Melo, Patrı́cia Carneiro, et al.. (2019). Clinical spectrum and pleiotropic nature of CDH1 germline mutations. Journal of Medical Genetics. 56(4). 199–208. 64 indexed citations
6.
Figueiredo, Joana, Maria Sofia Fernandes, Soraia Melo, et al.. (2018). Geometric compensation applied to image analysis of cell populations with morphological variability: a new role for a classical concept. Scientific Reports. 8(1). 10266–10266. 3 indexed citations
7.
Fernandes, Maria Sofia, João Sanches, & Raquel Seruca. (2018). Targeting the PI3K Signalling as a Therapeutic Strategy in Colorectal Cancer. Advances in experimental medicine and biology. 1110. 35–53. 15 indexed citations
8.
Melo, Soraia, Joana Figueiredo, Maria Sofia Fernandes, et al.. (2017). Predicting the Functional Impact of CDH1 Missense Mutations in Hereditary Diffuse Gastric Cancer. International Journal of Molecular Sciences. 18(12). 2687–2687. 30 indexed citations
9.
Fernandes, Maria Sofia, Soraia Melo, Sérgia Velho, et al.. (2016). Specific inhibition of p110α subunit of PI3K: putative therapeutic strategy forKRASmutant colorectal cancers. Oncotarget. 7(42). 68546–68558. 10 indexed citations
10.
Alves, Sara, Maria Sofia Fernandes, Rita Francisco, et al.. (2015). Colorectal cancer-related mutant KRAS alleles function as positive regulators of autophagy. Oncotarget. 6(31). 30787–30802. 43 indexed citations
11.
Figueiral, Maria Helena, et al.. (2013). Removable partial denture education in Portugal following the Bologna Process.. PubMed. 21(3). 127–34. 3 indexed citations
12.
Carneiro, Patrı́cia, Joana Figueiredo, Renata Bordeira–Carriço, et al.. (2013). Therapeutic targets associated to E-cadherin dysfunction in gastric cancer. Expert Opinion on Therapeutic Targets. 17(10). 1187–1201. 23 indexed citations
13.
Carneiro, Patrı́cia, Maria Sofia Fernandes, Joana Figueiredo, et al.. (2012). E‐cadherin dysfunction in gastric cancer ‐ Cellular consequences, clinical applications and open questions. FEBS Letters. 586(18). 2981–2989. 63 indexed citations
14.
Fernandes, Maria Sofia, Fátima Carneiro, Carla Oliveíra, & Raquel Seruca. (2012). Colorectal cancer and RASSF family—A special emphasis on RASSF1A. International Journal of Cancer. 132(2). 251–258. 54 indexed citations
15.
Fernandes, Maria Sofia, Jan J. Brosens, & Birgit Gellersen. (2008). Honey, we need to talk about the membrane progestin receptors. Steroids. 73(9-10). 942–952. 50 indexed citations
16.
Gellersen, Birgit, Maria Sofia Fernandes, & Jan J. Brosens. (2008). Non-genomic progesterone actions in female reproduction. Human Reproduction Update. 15(1). 119–138. 162 indexed citations
17.
Fernandes, Maria Sofia, Jukka Kero, Ralf Lösel, et al.. (2006). Human Homologs of the Putative G Protein-Coupled Membrane Progestin Receptors (mPRα, β, and γ) Localize to the Endoplasmic Reticulum and Are Not Activated by Progesterone. Molecular Endocrinology. 20(12). 3146–3164. 105 indexed citations
18.
Fernandes, Maria Sofia, David Michalovich, Shirley Astle, et al.. (2005). Regulated expression of putative membrane progestin receptor homologues in human endometrium and gestational tissues. Journal of Endocrinology. 187(1). 89–101. 114 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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