Tânia Lima

522 total citations
18 papers, 364 citations indexed

About

Tânia Lima is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Spectroscopy. According to data from OpenAlex, Tânia Lima has authored 18 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Cardiology and Cardiovascular Medicine and 3 papers in Spectroscopy. Recurrent topics in Tânia Lima's work include Advanced Proteomics Techniques and Applications (3 papers), Cardiovascular Function and Risk Factors (3 papers) and Genomics and Phylogenetic Studies (3 papers). Tânia Lima is often cited by papers focused on Advanced Proteomics Techniques and Applications (3 papers), Cardiovascular Function and Risk Factors (3 papers) and Genomics and Phylogenetic Studies (3 papers). Tânia Lima collaborates with scholars based in Portugal, Switzerland and Germany. Tânia Lima's co-authors include Elisabeth Coudert, Amos Bairoch, Catherine Rivoire, Andrea H Auchincloss, C. Lachaize, Rui Vitorino, Isabelle Phan, Adelino Leite‐Moreira, Margarida Fardilha and Marco Pagni and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and Analytica Chimica Acta.

In The Last Decade

Tânia Lima

18 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tânia Lima Portugal 10 263 43 34 34 32 18 364
Konstantinos Karagiannis United States 10 125 0.5× 19 0.4× 19 0.6× 10 0.3× 30 0.9× 19 215
Nikhil Kumar Tulsian Singapore 9 171 0.7× 18 0.4× 10 0.3× 15 0.4× 21 0.7× 27 323
Salvatore Cappadona Netherlands 10 375 1.4× 15 0.3× 36 1.1× 168 4.9× 32 1.0× 10 490
Josef Pánek Czechia 10 321 1.2× 35 0.8× 14 0.4× 29 0.9× 33 1.0× 21 367
Khalid Kunji Qatar 8 304 1.2× 9 0.2× 12 0.4× 12 0.4× 36 1.1× 23 396
Hala Chamieh France 7 734 2.8× 18 0.4× 36 1.1× 10 0.3× 44 1.4× 15 782
Cristina Barbosa Portugal 7 398 1.5× 16 0.4× 18 0.5× 5 0.1× 30 0.9× 10 471
Anne Zemella Germany 9 374 1.4× 73 1.7× 6 0.2× 11 0.3× 55 1.7× 30 458
Eli Fritz McDonald United States 10 185 0.7× 8 0.2× 41 1.2× 9 0.3× 28 0.9× 16 313
Nikolay A. Anikanov Russia 11 198 0.8× 26 0.6× 4 0.1× 26 0.8× 16 0.5× 19 342

Countries citing papers authored by Tânia Lima

Since Specialization
Citations

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

Fields of papers citing papers by Tânia Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tânia Lima

This figure shows the co-authorship network connecting the top 25 collaborators of Tânia Lima. A scholar is included among the top collaborators of Tânia Lima 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 Tânia Lima. Tânia Lima 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.
Vitorino, Rui, et al.. (2024). Intraspecific venom variation in the Iberian asp viper (Vipera aspis zinnikeri) across natural and intensive agricultural habitats. Journal of Proteomics. 310. 105337–105337. 2 indexed citations
2.
Guedes, Sofia, Tânia Lima, Inês Falcão‐Pires, et al.. (2024). Comprehensive characterization of protein modifications using mass spectrometry and dry blood spots. PROTEOMICS - CLINICAL APPLICATIONS. 18(3). e2300102–e2300102. 2 indexed citations
3.
Lima, Tânia, Rita Ferreira, Margarida Fardilha, et al.. (2023). Gold nanoparticle probes for colorimetric detection of plasma galectin-3: a simple and rapid approach. Analytical Methods. 15(24). 2905–2914. 2 indexed citations
4.
Lima, Tânia, Isa Carneiro, Cármen Jerónimo, et al.. (2023). Gal-3 Protein Expression and Localization in Prostate Tumours. Current Oncology. 30(3). 2729–2742. 6 indexed citations
5.
Santiago, Joana, et al.. (2023). The World Café method and spaces dedicated to active teaching & learning: A dynamic combo that motivates students for biosciences learning. Innovations in Education and Teaching International. 61(5). 897–911. 1 indexed citations
6.
Lima, Tânia, João A. Rodrigues, Bruno Manadas, et al.. (2022). A peptide-centric approach to analyse quantitative proteomics data- an application to prostate cancer biomarker discovery. Journal of Proteomics. 272. 104774–104774. 6 indexed citations
7.
Lima, Tânia, et al.. (2022). Label-free dynamic light scattering assay for C-reactive protein detection using magnetic nanoparticles. Analytica Chimica Acta. 1222. 340169–340169. 10 indexed citations
8.
Lima, Tânia, Rui Henrique, Margarida Fardilha, et al.. (2022). Galectin-3 in prostate cancer and heart diseases: a biomarker for these two frightening pathologies?. Molecular Biology Reports. 50(3). 2763–2778. 18 indexed citations
9.
Lima, Tânia, et al.. (2022). Integration of Automatic Text Mining and Genomic and Proteomic Analysis to Unravel Prostate Cancer Biomarkers. Journal of Proteome Research. 21(2). 447–458. 8 indexed citations
10.
Lima, Tânia, António S. Barros, Fábio Trindade, et al.. (2022). Application of Proteogenomics to Urine Analysis towards the Identification of Novel Biomarkers of Prostate Cancer: An Exploratory Study. Cancers. 14(8). 2001–2001. 10 indexed citations
11.
Lima, Tânia, et al.. (2022). Interaction of Colloidal Gold Nanoparticles with Urine and Saliva Biofluids: An Exploratory Study. Nanomaterials. 12(24). 4434–4434. 6 indexed citations
12.
Lima, Tânia, Rui Henrique, Rui Vitorino, & Margarida Fardilha. (2021). Bioinformatic analysis of dysregulated proteins in prostate cancer patients reveals putative urinary biomarkers and key biological pathways. Medical Oncology. 38(1). 9–9. 9 indexed citations
13.
Miranda‐Silva, Daniela, Tânia Lima, Patrícia Rodrigues, Adelino Leite‐Moreira, & Inês Falcão‐Pires. (2021). Mechanisms underlying the pathophysiology of heart failure with preserved ejection fraction: the tip of the iceberg. Heart Failure Reviews. 26(3). 453–478. 23 indexed citations
14.
Miranda‐Silva, Daniela, Estela Santos‐Alves, David Rizo‐Roca, et al.. (2020). Mitochondrial Reversible Changes Determine Diastolic Function Adaptations During Myocardial (Reverse) Remodeling. Circulation Heart Failure. 13(11). e006170–e006170. 11 indexed citations
15.
Miranda‐Silva, Daniela, Nazha Hamdani, Tânia Lima, et al.. (2019). Characterization of biventricular alterations in myocardial (reverse) remodelling in aortic banding-induced chronic pressure overload. Scientific Reports. 9(1). 2956–2956. 11 indexed citations
16.
Lima, Tânia, Andrea H Auchincloss, Elisabeth Coudert, et al.. (2008). HAMAP: a database of completely sequenced microbial proteome sets and manually curated microbial protein families in UniProtKB/Swiss-Prot. Nucleic Acids Research. 37(Database). D471–D478. 122 indexed citations
17.
Stockinger, Heinz, Teresa K. Attwood, Rick Cote, et al.. (2008). Experience using web services for biological sequence analysis. Briefings in Bioinformatics. 9(6). 493–505. 19 indexed citations
18.
Gattiker, Alexandre, Catherine Rivoire, Andrea H Auchincloss, et al.. (2003). Automated annotation of microbial proteomes in SWISS-PROT. Computational Biology and Chemistry. 27(1). 49–58. 98 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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