Catia C. Proenca

1.2k total citations
18 papers, 935 citations indexed

About

Catia C. Proenca is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Catia C. Proenca has authored 18 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 7 papers in Cardiology and Cardiovascular Medicine and 5 papers in Epidemiology. Recurrent topics in Catia C. Proenca's work include Heart Failure Treatment and Management (7 papers), Nerve injury and regeneration (5 papers) and Chronic Disease Management Strategies (4 papers). Catia C. Proenca is often cited by papers focused on Heart Failure Treatment and Management (7 papers), Nerve injury and regeneration (5 papers) and Chronic Disease Management Strategies (4 papers). Catia C. Proenca collaborates with scholars based in Switzerland, United Kingdom and United States. Catia C. Proenca's co-authors include Francis S. Lee, Shahin Rafii, Sergey V. Shmelkov, Deqiang Jing, Kevin G. Bath, Minseok Song, Iva Dincheva, Peng Gao, David M. Valenzuela and Ipe Ninan and has published in prestigious journals such as Science, Nature Medicine and Journal of Neuroscience.

In The Last Decade

Catia C. Proenca

17 papers receiving 918 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Catia C. Proenca Switzerland 13 326 321 214 191 163 18 935
Myriam Srour Canada 20 320 1.0× 703 2.2× 197 0.9× 150 0.8× 653 4.0× 88 1.9k
Paweł Kapelski Poland 20 380 1.2× 351 1.1× 302 1.4× 120 0.6× 285 1.7× 66 1.2k
Kanako Itoh Japan 19 509 1.6× 745 2.3× 138 0.6× 83 0.4× 78 0.5× 39 1.4k
Ciara Fahey Ireland 19 136 0.4× 572 1.8× 254 1.2× 152 0.8× 286 1.8× 25 1.2k
Constance Smith‐Hicks United States 15 413 1.3× 555 1.7× 275 1.3× 86 0.5× 411 2.5× 31 1.1k
Takahiro Soda United States 11 363 1.1× 711 2.2× 214 1.0× 35 0.2× 356 2.2× 23 1.2k
Tianlan Lu China 21 160 0.5× 513 1.6× 325 1.5× 50 0.3× 438 2.7× 72 1.1k
Tatsuyuki Muratake Japan 15 294 0.9× 343 1.1× 185 0.9× 55 0.3× 211 1.3× 34 828
Dawna D. Armstrong United States 21 231 0.7× 730 2.3× 510 2.4× 103 0.5× 754 4.6× 33 1.6k
Takeshi Sakurai Japan 21 271 0.8× 483 1.5× 343 1.6× 27 0.1× 329 2.0× 65 1.3k

Countries citing papers authored by Catia C. Proenca

Since Specialization
Citations

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

Fields of papers citing papers by Catia C. Proenca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Catia C. Proenca. 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 Catia C. Proenca. The network helps show where Catia C. Proenca may publish in the future.

Co-authorship network of co-authors of Catia C. Proenca

This figure shows the co-authorship network connecting the top 25 collaborators of Catia C. Proenca. A scholar is included among the top collaborators of Catia C. Proenca 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 Catia C. Proenca. Catia C. Proenca 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.
Proenca, Catia C., et al.. (2025). The role and value of real-world evidence in health technology decision-making in France, Germany, Italy, Spain, and the UK: insights on external control arms. International Journal of Technology Assessment in Health Care. 41(1). e25–e25.
2.
Eltokhi, Ahmed, Ilaria Bertocchi, Andrei Rozov, et al.. (2023). Distinct effects of AMPAR subunit depletion on spatial memory. iScience. 26(11). 108116–108116. 1 indexed citations
3.
Jackson, James, et al.. (2018). Burden of heart failure on patients from China: results from a cross-sectional survey. Drug Design Development and Therapy. Volume 12. 1659–1668. 25 indexed citations
4.
Jackson, James, et al.. (2018). Care pathways and treatment patterns for patients with heart failure in China: results from a cross-sectional survey. Drug Design Development and Therapy. Volume 12. 2311–2321. 4 indexed citations
5.
Jackson, James, et al.. (2018). Burden of heart failure on caregivers in China: results from a cross-sectional survey. Drug Design Development and Therapy. Volume 12. 1669–1678. 33 indexed citations
6.
Wachter, Rolf, Sven Klebs, Matthias Schindler, et al.. (2018). Early insights into the characteristics and evolution of clinical parameters in a cohort of patients prescribed sacubitril/valsartan in Germany. Postgraduate Medicine. 130(3). 308–316. 19 indexed citations
7.
Balas, Bogdan, et al.. (2018). Perceptions of heart failure symptoms, disease severity, treatment decision-making and side effects by patients and cardiologists: a multinational survey in a cardiology setting. Therapeutics and Clinical Risk Management. Volume 14. 2265–2272. 15 indexed citations
8.
Karpf, E, et al.. (2017). Assessing the Burden of Chronic Heart Failure on Caregivers of Patients in Colombia. Value in Health. 20(9). A622–A622. 2 indexed citations
9.
Karpf, E, et al.. (2017). Assessing the Burden of Chronic Heart Failure on Patients in Colombia. Value in Health. 20(9). A623–A623. 1 indexed citations
10.
Bidinosti, Michael, Paolo Botta, Sebastian Krüttner, et al.. (2016). CLK2 inhibition ameliorates autistic features associated with SHANK3 deficiency. Science. 351(6278). 1199–1203. 115 indexed citations
11.
Proenca, Catia C., Minseok Song, & Francis S. Lee. (2016). Differential effects of BDNF and neurotrophin 4 (NT4) on endocytic sorting of TrkB receptors. Journal of Neurochemistry. 138(3). 397–406. 52 indexed citations
12.
Song, Minseok, Joanna Giza, Catia C. Proenca, et al.. (2015). Slitrk5 Mediates BDNF-Dependent TrkB Receptor Trafficking and Signaling. Developmental Cell. 33(6). 690–702. 72 indexed citations
13.
Proenca, Catia C., Natacha Stoehr, Mario Bernhard, et al.. (2013). Atg4b-Dependent Autophagic Flux Alleviates Huntington’s Disease Progression. PLoS ONE. 8(7). e68357–e68357. 25 indexed citations
14.
Proenca, Catia C., Peng Gao, Sergey V. Shmelkov, Shahin Rafii, & Francis S. Lee. (2011). Slitrks as emerging candidate genes involved in neuropsychiatric disorders. Trends in Neurosciences. 34(3). 143–153. 73 indexed citations
15.
Shmelkov, Sergey V., Adı́lia Hormigo, Deqiang Jing, et al.. (2010). Slitrk5 deficiency impairs corticostriatal circuitry and leads to obsessive-compulsive–like behaviors in mice. Nature Medicine. 16(5). 598–602. 258 indexed citations
16.
Guy, Ella, Nan Chen, Catia C. Proenca, et al.. (2010). Enhanced erythropoiesis in Hfe-KO mice indicates a role for Hfe in the modulation of erythroid iron homeostasis. Blood. 117(4). 1379–1389. 37 indexed citations
17.
Bath, Kevin G., Nathalie Mandairon, Deqiang Jing, et al.. (2008). Variant Brain-Derived Neurotrophic Factor (Val66Met) Alters Adult Olfactory Bulb Neurogenesis and Spontaneous Olfactory Discrimination. Journal of Neuroscience. 28(10). 2383–2393. 132 indexed citations
18.
Eyre, Stephen, Constant Lecoeur, Catia C. Proenca, et al.. (2008). R125W coding variant in TBC1D1 confers risk for familial obesity and contributes to linkage on chromosome 4p14 in the French population. Human Molecular Genetics. 17(12). 1798–1802. 71 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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