Susana S. Lopes

2.6k total citations
34 papers, 1.7k citations indexed

About

Susana S. Lopes is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Susana S. Lopes has authored 34 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 20 papers in Genetics and 9 papers in Cell Biology. Recurrent topics in Susana S. Lopes's work include Genetic and Kidney Cyst Diseases (17 papers), Micro and Nano Robotics (7 papers) and Congenital heart defects research (6 papers). Susana S. Lopes is often cited by papers focused on Genetic and Kidney Cyst Diseases (17 papers), Micro and Nano Robotics (7 papers) and Congenital heart defects research (6 papers). Susana S. Lopes collaborates with scholars based in Portugal, United Kingdom and Germany. Susana S. Lopes's co-authors include Robert N. Kelsh, Thomas J. Carney, Pascal Haffter, Robert Geisler, Bárbara Tavares, Angela Pauliny, Kirsten Dutton, Stone Elworthy, Stephen L. Johnson and David J. Smith and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Susana S. Lopes

33 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susana S. Lopes Portugal 20 1.1k 648 606 123 93 34 1.7k
Pierre‐Luc Bardet France 18 790 0.7× 593 0.9× 406 0.7× 47 0.4× 235 2.5× 27 1.6k
Andrea Aguilar Spain 11 1.2k 1.1× 462 0.7× 644 1.1× 115 0.9× 207 2.2× 46 1.8k
Yoshihiro Omori Japan 32 2.1k 1.9× 827 1.3× 849 1.4× 173 1.4× 439 4.7× 67 2.9k
Elisabeth M. Busch‐Nentwich United Kingdom 20 1.3k 1.2× 611 0.9× 280 0.5× 179 1.5× 128 1.4× 46 2.2k
Nicolas F. Berbari United States 22 2.0k 1.8× 549 0.8× 2.1k 3.5× 78 0.6× 260 2.8× 47 2.7k
Tanya T. Whitfield United Kingdom 27 1.4k 1.2× 581 0.9× 244 0.4× 169 1.4× 147 1.6× 54 2.3k
Jeffrey M. Gross United States 30 1.6k 1.4× 577 0.9× 327 0.5× 85 0.7× 210 2.3× 77 2.0k
Gerd-Jörg Rauch Germany 15 2.6k 2.4× 1.0k 1.6× 436 0.7× 185 1.5× 249 2.7× 16 3.0k
Fabrizio C. Serluca United States 22 1.9k 1.7× 679 1.0× 394 0.7× 196 1.6× 140 1.5× 26 2.4k
Erica E. Davis United States 29 2.4k 2.2× 548 0.8× 1.9k 3.2× 240 2.0× 112 1.2× 68 3.1k

Countries citing papers authored by Susana S. Lopes

Since Specialization
Citations

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

Fields of papers citing papers by Susana S. Lopes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susana S. Lopes. 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 Susana S. Lopes. The network helps show where Susana S. Lopes may publish in the future.

Co-authorship network of co-authors of Susana S. Lopes

This figure shows the co-authorship network connecting the top 25 collaborators of Susana S. Lopes. A scholar is included among the top collaborators of Susana S. Lopes 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 Susana S. Lopes. Susana S. Lopes 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
2.
Nolasco, Fernando, et al.. (2021). Zebrafish Model as a Screen to Prevent Cyst Inflation in Autosomal Dominant Polycystic Kidney Disease. International Journal of Molecular Sciences. 22(16). 9013–9013. 2 indexed citations
3.
Pinto, Andreia, et al.. (2021). Zebrafish Motile Cilia as a Model for Primary Ciliary Dyskinesia. International Journal of Molecular Sciences. 22(16). 8361–8361. 9 indexed citations
5.
Roxo‐Rosa, Mónica, et al.. (2021). Pkd2 Affects Cilia Length and Impacts LR Flow Dynamics and Dand5. Frontiers in Cell and Developmental Biology. 9. 624531–624531. 5 indexed citations
6.
Esteves, Madalena, Susana S. Lopes, Armando Almeida, Nuno Sousa, & Hugo Leite‐Almeida. (2020). Unmasking the relevance of hemispheric asymmetries—Break on through (to the other side). Progress in Neurobiology. 192. 101823–101823. 32 indexed citations
7.
Burkhalter, Martin D., Arthi Sridhar, Cornelia Donow, et al.. (2019). Imbalanced mitochondrial function provokes heterotaxy via aberrant ciliogenesis. Journal of Clinical Investigation. 129(7). 2841–2855. 42 indexed citations
8.
Kuhns, Stefanie, Bárbara Tavares, José S. Ramalho, et al.. (2019). Rab35 controls cilium length, function and membrane composition. EMBO Reports. 20(10). e47625–e47625. 31 indexed citations
9.
Tavares, Bárbara, Andreia Pinto, Mónica Roxo‐Rosa, et al.. (2017). Notch/Her12 signalling modulates, motile/immotile cilia ratio downstream of Foxj1a in zebrafish left-right organizer. eLife. 6. 23 indexed citations
10.
Lopes, Susana S., Sofia A. Pereira, Erin M. Tranfield, et al.. (2017). Usefulness of zebrafish larvae to evaluate drug-induced functional and morphological renal tubular alterations. Archives of Toxicology. 92(1). 411–423. 28 indexed citations
11.
Constant, Carolina, et al.. (2017). Nova Era no Diagnóstico da Discinesia Ciliar Primária. SHILAP Revista de lepidopterología. 49(3). 235–342.
12.
Lopes, Susana S., Martin Distel, Claudia Linker, et al.. (2016). Report of the 4th European Zebrafish Principal Investigator Meeting. Zebrafish. 13(6). 590–595. 1 indexed citations
13.
Lü, Quanlong, Christine Insinna, Carolyn M. Ott, et al.. (2015). Early steps in primary cilium assembly require EHD1/EHD3-dependent ciliary vesicle formation. Nature Cell Biology. 17(3). 228–240. 231 indexed citations
14.
Casalou, Cristina, et al.. (2014). Arl13b and the non-muscle myosin heavy chain IIA are required for circular dorsal ruffle formation and cell migration. Journal of Cell Science. 127(Pt 12). 2709–22. 33 indexed citations
15.
Ferreira, Rita R., Adán Guerrero, Petra Pintado, et al.. (2014). Left-Right Organizer Flow Dynamics: How Much Cilia Activity Reliably Yields Laterality?. Developmental Cell. 29(6). 716–728. 71 indexed citations
16.
Lopes, Susana S., et al.. (2010). Notch signalling regulates left-right asymmetry through ciliary length control. Development. 137(21). 3625–3632. 96 indexed citations
17.
Lourenço, Raquel, Susana S. Lopes, & Leonor Saúde. (2010). Left-Right Function of dmrt2 Genes Is Not Conserved between Zebrafish and Mouse. PLoS ONE. 5(12). e14438–e14438. 30 indexed citations
18.
Rocha, Susana, Susana S. Lopes, Achim Gossler, & Domingos Henrique. (2009). Dll1 and Dll4 function sequentially in the retina and pV2 domain of the spinal cord to regulate neurogenesis and create cell diversity. Developmental Biology. 328(1). 54–65. 50 indexed citations
19.
Dutton, Kirsten, Angela Pauliny, Susana S. Lopes, et al.. (2001). Zebrafishcolourlessencodessox10and specifies non-ectomesenchymal neural crest fates. Development. 128(21). 4113–4125. 428 indexed citations
20.
Parichy, David M., Eve M. Mellgren, John F. Rawls, et al.. (2000). Mutational Analysis of Endothelin Receptor b1 (rose) during Neural Crest and Pigment Pattern Development in the Zebrafish Danio rerio. Developmental Biology. 227(2). 294–306. 189 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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