Jacinta Serpa

2.6k total citations · 1 hit paper
77 papers, 2.0k citations indexed

About

Jacinta Serpa is a scholar working on Molecular Biology, Cancer Research and Biochemistry. According to data from OpenAlex, Jacinta Serpa has authored 77 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 24 papers in Cancer Research and 13 papers in Biochemistry. Recurrent topics in Jacinta Serpa's work include Cancer, Hypoxia, and Metabolism (18 papers), Sulfur Compounds in Biology (12 papers) and Epigenetics and DNA Methylation (11 papers). Jacinta Serpa is often cited by papers focused on Cancer, Hypoxia, and Metabolism (18 papers), Sulfur Compounds in Biology (12 papers) and Epigenetics and DNA Methylation (11 papers). Jacinta Serpa collaborates with scholars based in Portugal, France and United States. Jacinta Serpa's co-authors include Sofia A. Pereira, Filipa Lopes‐Coelho, Filipa Martins, Sofia C. Nunes, Vasco D. B. Bonifácio, João B. Vicente, Leonor David, Ana Félix, Sérgio Dias and Tânia Carvalho and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Gastroenterology.

In The Last Decade

Jacinta Serpa

75 papers receiving 2.0k citations

Hit Papers

Anti-Angiogenic Therapy: Current Challenges and Future Pe... 2021 2026 2022 2024 2021 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Anti-Angiogenic Therapy: Current Challenges and Future Perspectives
    2021 260 citations Filipa Lopes‐Coelho, Filipa Martins et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacinta Serpa Portugal 26 1.1k 501 319 268 263 77 2.0k
Peizhen Hu China 22 817 0.8× 461 0.9× 297 0.9× 209 0.8× 240 0.9× 55 1.8k
José Andrés Yunes Brazil 30 1.7k 1.6× 600 1.2× 566 1.8× 203 0.8× 307 1.2× 129 3.1k
Hong Zeng China 30 2.1k 2.0× 467 0.9× 420 1.3× 290 1.1× 265 1.0× 120 2.9k
Meng Xia China 26 1.3k 1.2× 507 1.0× 397 1.2× 178 0.7× 314 1.2× 93 2.3k
Ting Gui China 26 1.4k 1.3× 438 0.9× 333 1.0× 237 0.9× 243 0.9× 61 2.5k
Shanling Liu China 26 1.2k 1.1× 472 0.9× 298 0.9× 151 0.6× 240 0.9× 150 2.1k
Yusuke Saito Japan 24 1.3k 1.3× 283 0.6× 244 0.8× 184 0.7× 208 0.8× 119 2.1k
Ming Yue China 24 1.0k 1.0× 829 1.7× 255 0.8× 134 0.5× 120 0.5× 76 1.8k
Steven L. Wood United Kingdom 23 970 0.9× 334 0.7× 431 1.4× 139 0.5× 142 0.5× 35 1.8k
Francisco Dası́ Spain 21 1.0k 1.0× 287 0.6× 199 0.6× 141 0.5× 153 0.6× 62 1.8k

Countries citing papers authored by Jacinta Serpa

Since Specialization
Citations

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

Fields of papers citing papers by Jacinta Serpa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacinta Serpa

This figure shows the co-authorship network connecting the top 25 collaborators of Jacinta Serpa. A scholar is included among the top collaborators of Jacinta Serpa 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 Jacinta Serpa. Jacinta Serpa 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
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Ferreira, Bárbara Roque, Beatriz Chumbinho, Fernanda Silva, et al.. (2025). Glucagon and Glucose Availability Influence Metabolic Heterogeneity and Malignancy in Pancreatic Neuroendocrine Tumour (pNET) Cells: Novel Routes for Therapeutic Targeting. Molecules. 30(13). 2736–2736. 1 indexed citations
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Martins, Filipa, Paulo Matos, José S. Ramalho, et al.. (2025). Lactate-coated polyurea-siRNA dendriplex: a gene therapy-directed and metabolism-based strategy to impair glioblastoma (GBM). Cancer Gene Therapy. 32(6). 690–705. 2 indexed citations
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Cunha, Fernando Q., et al.. (2023). NSCLC presents metabolic heterogeneity, and there is still some leeway for EGF stimuli in EGFR-mutated NSCLC. Lung Cancer. 182. 107283–107283. 7 indexed citations
8.
Martins, Filipa, David Kellen, Luís G. Gonçalves, & Jacinta Serpa. (2023). Metabolic Profiles Point Out Metabolic Pathways Pivotal in Two Glioblastoma (GBM) Cell Lines, U251 and U-87MG. Biomedicines. 11(7). 2041–2041. 7 indexed citations
9.
Nunes, Sofia C., Fernanda Silva, Margarida Silveira, et al.. (2023). Peripheral Blood Serum NMR Metabolomics Is a Powerful Tool to Discriminate Benign and Malignant Ovarian Tumors. Metabolites. 13(9). 989–989. 4 indexed citations
10.
Mendes, Rita, Gonçalo Graça, Fernanda Silva, et al.. (2022). Exploring Metabolic Signatures of Ex Vivo Tumor Tissue Cultures for Prediction of Chemosensitivity in Ovarian Cancer. Cancers. 14(18). 4460–4460. 7 indexed citations
11.
Martins, Filipa, et al.. (2021). Molecular and Metabolic Reprogramming: Pulling the Strings Toward Tumor Metastasis. Frontiers in Oncology. 11. 12 indexed citations
12.
Nunes, Sofia C., Cristiano Ramos, Inês Santos, et al.. (2021). Cysteine Boosts Fitness Under Hypoxia-Mimicked Conditions in Ovarian Cancer by Metabolic Reprogramming. Frontiers in Cell and Developmental Biology. 9. 722412–722412. 19 indexed citations
13.
Lopes‐Coelho, Filipa, Fernanda Silva, Carmo Martins, et al.. (2020). Monocytes as Endothelial Progenitor Cells (EPCs), Another Brick in the Wall to Disentangle Tumor Angiogenesis. Cells. 9(1). 107–107. 37 indexed citations
14.
Serpa, Jacinta, et al.. (2020). Revisiting lactate dynamics in cancer—a metabolic expertise or an alternative attempt to survive?. Journal of Molecular Medicine. 98(10). 1397–1414. 14 indexed citations
15.
Bonifácio, Vasco D. B., Sofia A. Pereira, Jacinta Serpa, & João B. Vicente. (2020). Cysteine metabolic circuitries: druggable targets in cancer. British Journal of Cancer. 124(5). 862–879. 178 indexed citations
16.
Casalou, Cristina, Alexandra Faustino, Fernanda Silva, et al.. (2019). Arl13b Regulates Breast Cancer Cell Migration and Invasion by Controlling Integrin-Mediated Signaling. Cancers. 11(10). 1461–1461. 12 indexed citations
17.
Silveira, Margarida, et al.. (2019). Detection of human ovarian carcinoma from blood samples using scent dogs. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 13(3). 155–159.
18.
Gonçalves, Luís G., Fernanda Silva, Valdemar Máximo, et al.. (2015). STAT3:FOXM1 and MCT1 drive uterine cervix carcinoma fitness to a lactate-rich microenvironment. Tumor Biology. 37(4). 5385–5395. 19 indexed citations
19.
Carvalho, Tânia, Ana C. Santos, Cátia Igreja, et al.. (2010). TNF-α Regulates the Effects of Irradiation in the Mouse Bone Marrow Microenvironment. PLoS ONE. 5(2). e8980–e8980. 40 indexed citations
20.
Serpa, Jacinta, Patrícia Mesquita, Nuno Mendes, et al.. (2006). Expression of Lea in gastric cancer cell lines depends on FUT3 expression regulated by promoter methylation. Cancer Letters. 242(2). 191–197. 34 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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