Clara Apicella

420 total citations
10 papers, 251 citations indexed

About

Clara Apicella is a scholar working on Obstetrics and Gynecology, Cardiology and Cardiovascular Medicine and Cancer Research. According to data from OpenAlex, Clara Apicella has authored 10 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Obstetrics and Gynecology, 3 papers in Cardiology and Cardiovascular Medicine and 3 papers in Cancer Research. Recurrent topics in Clara Apicella's work include Pregnancy and preeclampsia studies (6 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Cancer-related molecular mechanisms research (3 papers). Clara Apicella is often cited by papers focused on Pregnancy and preeclampsia studies (6 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Cancer-related molecular mechanisms research (3 papers). Clara Apicella collaborates with scholars based in France, United Kingdom and Germany. Clara Apicella's co-authors include Daniel Vaiman, Francisco Miralles, Céline Méhats, Sébastien Jacques, Géraldine Gascoin, Daniela Annibali, Serena Pellegatta, Barbara Illi, Federica Pisati and Giulio Pavesi and has published in prestigious journals such as International Journal of Molecular Sciences, Heart and EMBO Reports.

In The Last Decade

Clara Apicella

10 papers receiving 248 citations

Peers

Clara Apicella

OG

MB

PPCH

CR

IMMUN

Megan Melland‐Smith Canada

Weiwei Cheng China

Zhiping Ge China

Manni Sun China

Κωνσταντίνος Αγιαννιτόπουλος Greece

Moritz Reiterer United Kingdom

Chyi-Uei Chern Taiwan

Yue Hou China

Chencheng Dai China

Megan Melland‐Smith Canada

Clara Apicella

182 ×1.4

OG

156 ×1.3

MB

86 ×1.1

PPCH

61 ×0.8

CR

62 ×1.4

IMMUN

Citations per year, relative to Clara Apicella Clara Apicella (= 1×) peers Megan Melland‐Smith

Countries citing papers authored by Clara Apicella

Since Specialization

Citations

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

Fields of papers citing papers by Clara Apicella

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clara Apicella

This figure shows the co-authorship network connecting the top 25 collaborators of Clara Apicella. A scholar is included among the top collaborators of Clara Apicella 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 Clara Apicella. Clara Apicella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Apicella, Clara, B. Thilaganathan, Asma Khalil, et al.. (2023). Pan-Genomic Regulation of Gene Expression in Normal and Pathological Human Placentas. Cells. 12(4). 578–578. 8 indexed citations

2.

Holmes, Andrew P., Daniel M. Johnson, Jasmeet S. Reyat, et al.. (2022). Increased atrial effectiveness of flecainide conferred by altered biophysical properties of sodium channels. Journal of Molecular and Cellular Cardiology. 166. 23–35. 13 indexed citations

3.

Vaiman, Daniel, Shailendra K. Gupta, Fergus P. McCarthy, et al.. (2022). Computational Models on Pathological Redox Signalling Driven by Pregnancy: A Review. Antioxidants. 11(3). 585–585. 5 indexed citations

4.

Sammar, Marei, Clara Apicella, Peter Altevogt, Hamutal Meiri, & Daniel Vaiman. (2022). Modeling Preeclampsia In Vitro: Polymorphic Variants of STOX1-A/B Genes Can Downregulate CD24 in Trophoblast Cell Lines. International Journal of Molecular Sciences. 23(24). 15927–15927. 5 indexed citations

5.

Holmes, Andrew P., Priyanka Saxena, Christopher O’Shea, et al.. (2021). Atrial resting membrane potential confers sodium current sensitivity to propafenone, flecainide and dronedarone. Heart Rhythm. 18(7). 1212–1220. 12 indexed citations

6.

Apicella, Clara, Sébastien Jacques, Géraldine Gascoin, et al.. (2021). Alternative splicing in normal and pathological human placentas is correlated to genetic variants. Human Genetics. 140(5). 827–848. 12 indexed citations

7.

Apicella, Clara, Sébastien Jacques, Géraldine Gascoin, et al.. (2021). Urothelial Cancer Associated 1 (UCA1) and miR-193 Are Two Non-coding RNAs Involved in Trophoblast Fusion and Placental Diseases. Frontiers in Cell and Developmental Biology. 9. 633937–633937. 13 indexed citations

8.

Apicella, Clara, et al.. (2019). The Role of Epigenetics in Placental Development and the Etiology of Preeclampsia. International Journal of Molecular Sciences. 20(11). 2837–2837. 129 indexed citations

9.

Holmes, Andrew P., et al.. (2017). 221 Altered biophysical properties of the voltage-gated sodium channels in mouse atrial and ventricular cardiomyocytes. Heart. 103(Suppl 5). A143.3–A144. 3 indexed citations

10.

Galardi, Silvia, Mauro Savino, Serena Pellegatta, et al.. (2016). Resetting cancer stem cell regulatory nodes upon MYC inhibition. EMBO Reports. 17(12). 1872–1889. 51 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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