Cátia Santa

1.1k total citations
28 papers, 758 citations indexed

About

Cátia Santa is a scholar working on Molecular Biology, Spectroscopy and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Cátia Santa has authored 28 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Spectroscopy and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Cátia Santa's work include Advanced Proteomics Techniques and Applications (11 papers), Mass Spectrometry Techniques and Applications (5 papers) and Tryptophan and brain disorders (5 papers). Cátia Santa is often cited by papers focused on Advanced Proteomics Techniques and Applications (11 papers), Mass Spectrometry Techniques and Applications (5 papers) and Tryptophan and brain disorders (5 papers). Cátia Santa collaborates with scholars based in Portugal, United States and France. Cátia Santa's co-authors include Bruno Manadas, Sandra I. Anjo, Ari Waisman, Bruno Silva‐Santos, Luı́sa V. Lopes, Julie C. Ribot, Inês Marques-Morgado, Mariana Temido‐Ferreira, Cláudia A. Valente and Sara Omenetti and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Cátia Santa

27 papers receiving 755 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cátia Santa Portugal 14 291 130 125 107 68 28 758
Ceereena Ubaida‐Mohien United States 19 566 1.9× 127 1.0× 85 0.7× 31 0.3× 37 0.5× 38 1.0k
Caroline May Germany 20 671 2.3× 89 0.7× 138 1.1× 78 0.7× 8 0.1× 69 1.3k
Sabrina Lehmann Germany 12 183 0.6× 367 2.8× 25 0.2× 315 2.9× 40 0.6× 15 844
Elisa Bellei Italy 16 229 0.8× 22 0.2× 134 1.1× 47 0.4× 11 0.2× 50 730
Suguru Saito Japan 15 246 0.8× 196 1.5× 23 0.2× 34 0.3× 16 0.2× 57 674
Tomonari Hamaguchi Japan 13 591 2.0× 74 0.6× 19 0.2× 49 0.5× 89 1.3× 22 1.0k
Sergiy Kostenko Norway 17 711 2.4× 123 0.9× 12 0.1× 35 0.3× 13 0.2× 26 1.2k
Kanhaiya Lal Kumawat India 15 310 1.1× 266 2.0× 8 0.1× 193 1.8× 45 0.7× 17 895
Weidong Yong United States 22 832 2.9× 178 1.4× 33 0.3× 12 0.1× 33 0.5× 39 1.3k
Zhen Sun China 13 365 1.3× 115 0.9× 9 0.1× 53 0.5× 51 0.8× 19 666

Countries citing papers authored by Cátia Santa

Since Specialization
Citations

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

Fields of papers citing papers by Cátia Santa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cátia Santa

This figure shows the co-authorship network connecting the top 25 collaborators of Cátia Santa. A scholar is included among the top collaborators of Cátia Santa 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 Cátia Santa. Cátia Santa 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.
3.
Santa, Cátia, Sandra I. Anjo, Vera M. Mendes, et al.. (2023). Chronic treatment with D2-antagonist haloperidol leads to inhibitory/excitatory imbalance in striatal D1-neurons. Translational Psychiatry. 13(1). 312–312. 7 indexed citations
4.
Rodrigues, João A., Cátia Santa, Nuno Madeira, et al.. (2022). Systematic Review and Meta-Analysis of Mass Spectrometry Proteomics Applied to Human Peripheral Fluids to Assess Potential Biomarkers of Schizophrenia. International Journal of Molecular Sciences. 23(9). 4917–4917. 15 indexed citations
5.
Jacinto, Luís, Cátia Santa, Bruno Manadas, et al.. (2022). Chronic stress causes striatal disinhibition mediated by SOM-interneurons in male mice. Nature Communications. 13(1). 7355–7355. 6 indexed citations
6.
Mâncio, Jennifer, Glória Conceição, Guilherme Pessoa-Amorim, et al.. (2022). Decoding the radiomic and proteomic phenotype of epicardial adipose tissue associated with adverse left atrial remodelling and post-operative atrial fibrillation in aortic stenosis. European Heart Journal - Cardiovascular Imaging. 23(9). 1248–1259. 9 indexed citations
8.
Pinto, Patrícia I.S., Liliana Anjos, M. Dulce Estêvão, et al.. (2021). Proteomics of sea bass skin-scales exposed to the emerging pollutant fluoxetine compared to estradiol. The Science of The Total Environment. 814. 152671–152671. 9 indexed citations
9.
Mâncio, Jennifer, António S. Barros, Glória Conceição, et al.. (2020). Influence of EPICardial adipose tissue in HEART diseases (EPICHEART) study: Protocol for a translational study in coronary atherosclerosis. Revista Portuguesa de Cardiologia. 39(11). 625–633. 3 indexed citations
10.
Ribeiro, Miguel, Helena C. Brigas, Mariana Temido‐Ferreira, et al.. (2019). Meningeal γδ T cell–derived IL-17 controls synaptic plasticity and short-term memory. Science Immunology. 4(40). 203 indexed citations
11.
Anjo, Sandra I., Cátia Santa, & Bruno Manadas. (2019). SWATH Mass Spectrometry Applied to Cerebrospinal Fluid Differential Proteomics: Establishment of a Sample-Specific Method. Methods in molecular biology. 2044. 169–189. 2 indexed citations
12.
Anjos, Liliana, Patrícia I.S. Pinto, Theofania Tsironi, et al.. (2019). Experimental data from flesh quality assessment and shelf life monitoring of high pressure processed European sea bass (Dicentrarchus labrax) fillets. SHILAP Revista de lepidopterología. 26. 104451–104451. 7 indexed citations
14.
Santa, Cátia, et al.. (2019). A Pathogen and a Non-pathogen Spotted Fever Group Rickettsia Trigger Differential Proteome Signatures in Macrophages. Frontiers in Cellular and Infection Microbiology. 9. 43–43. 21 indexed citations
15.
Mâncio, Jennifer, António S. Barros, Glória Conceição, et al.. (2018). 6178Regulation of coronary calcification by epicardial adipose tissue: traits in high-risk patients. European Heart Journal. 39(suppl_1). 1 indexed citations
16.
Caldeira, Joana, Cátia Santa, Hugo Osório, et al.. (2017). Matrisome Profiling During Intervertebral Disc Development And Ageing. Scientific Reports. 7(1). 11629–11629. 42 indexed citations
17.
Anjo, Sandra I., et al.. (2016). Unraveling Mesenchymal Stem Cells’ Dynamic Secretome Through Nontargeted Proteomics Profiling. Methods in molecular biology. 1416. 521–549. 16 indexed citations
18.
Moreira‐Gonçalves, Daniel, Tiago Henriques‐Coelho, Hélder Fonseca, et al.. (2015). Intermittent cardiac overload results in adaptive hypertrophy and provides protection against left ventricular acute pressure overload insult. The Journal of Physiology. 593(17). 3885–3897. 26 indexed citations
19.
Ferreira, Rita, Hugo Rocha, Ana Isabel Padrão, et al.. (2013). Mitochondria proteome profiling: A comparative analysis between gel- and gel-free approaches. Talanta. 115. 277–283. 12 indexed citations
20.
Rocha, Hugo, Rita Ferreira, Jorge Carvalho, et al.. (2011). Characterization of mitochondrial proteome in a severe case of ETF-QO deficiency. Journal of Proteomics. 75(1). 221–228. 16 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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