Anna De Palma

453 total citations
9 papers, 366 citations indexed

About

Anna De Palma is a scholar working on Molecular Biology, Rheumatology and Cancer Research. According to data from OpenAlex, Anna De Palma has authored 9 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Rheumatology and 4 papers in Cancer Research. Recurrent topics in Anna De Palma's work include Osteoarthritis Treatment and Mechanisms (6 papers), MicroRNA in disease regulation (3 papers) and RNA Interference and Gene Delivery (2 papers). Anna De Palma is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (6 papers), MicroRNA in disease regulation (3 papers) and RNA Interference and Gene Delivery (2 papers). Anna De Palma collaborates with scholars based in Italy, United Kingdom and Germany. Anna De Palma's co-authors include Antonella Fioravanti, Pasquale Ferrante, Cesare R. Sirtori, Guido Franceschini, Donatella Taramelli, Marina Saresella, Laura Calabresi, Nicola Antonio Pascarelli, Sara Cheleschi and Mauro Galeazzi and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Anna De Palma

9 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
Anna De Palma Italy 9 133 122 100 90 69 9 366
Bianca Papotti Italy 10 158 1.2× 34 0.3× 114 1.1× 91 1.0× 43 0.6× 33 385
Loukas D. Tsironis Greece 10 136 1.0× 26 0.2× 79 0.8× 229 2.5× 102 1.5× 16 470
İlhan Yaylım Türkiye 13 173 1.3× 40 0.3× 77 0.8× 54 0.6× 25 0.4× 59 438
Qingchun Diao China 13 159 1.2× 42 0.3× 40 0.4× 35 0.4× 29 0.4× 37 436
Abigail Peairs United States 6 114 0.9× 19 0.2× 38 0.4× 39 0.4× 53 0.8× 12 340
N. Madhavi India 11 139 1.0× 56 0.5× 84 0.8× 33 0.4× 17 0.2× 14 405
Hongying Gan‐Schreier Germany 14 194 1.5× 107 0.9× 24 0.2× 83 0.9× 71 1.0× 28 485
Hongyang Shu China 13 222 1.7× 19 0.2× 53 0.5× 85 0.9× 58 0.8× 23 528
Lucía Barbier‐Torres United States 12 224 1.7× 47 0.4× 53 0.5× 52 0.6× 23 0.3× 22 424

Countries citing papers authored by Anna De Palma

Since Specialization
Citations

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

Fields of papers citing papers by Anna De Palma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna De Palma. 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 Anna De Palma. The network helps show where Anna De Palma may publish in the future.

Co-authorship network of co-authors of Anna De Palma

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

All Works

9 of 9 papers shown
2.
Palma, Anna De & Giovanna Nalesso. (2021). WNT Signalling in Osteoarthritis and Its Pharmacological Targeting. Handbook of experimental pharmacology. 269. 337–356. 14 indexed citations
3.
Nalesso, Giovanna, S. Eldridge, Anna De Palma, et al.. (2021). Calcium calmodulin kinase II activity is required for cartilage homeostasis in osteoarthritis. Scientific Reports. 11(1). 5682–5682. 16 indexed citations
4.
Vitale, Antonio, Donato Rigante, Orso Maria Lucherini, et al.. (2017). The diagnostic evaluation of patients with a suspected hereditary periodic fever syndrome: experience from a referral center in Italy. Internal and Emergency Medicine. 12(5). 605–611. 9 indexed citations
5.
Palma, Anna De, Sara Cheleschi, Nicola Antonio Pascarelli, et al.. (2017). Hydrostatic pressure as epigenetic modulator in chondrocyte cultures: A study on miRNA-155, miRNA-181a and miRNA-223 expression levels. Journal of Biomechanics. 66. 165–169. 23 indexed citations
6.
Cheleschi, Sara, Anna De Palma, Alessandra Pecorelli, et al.. (2017). Hydrostatic Pressure Regulates MicroRNA Expression Levels in Osteoarthritic Chondrocyte Cultures via the Wnt/β-Catenin Pathway. International Journal of Molecular Sciences. 18(1). 133–133. 63 indexed citations
7.
Cheleschi, Sara, Anna De Palma, Nicola Antonio Pascarelli, et al.. (2017). Could Oxidative Stress Regulate the Expression of MicroRNA-146a and MicroRNA-34a in Human Osteoarthritic Chondrocyte Cultures?. International Journal of Molecular Sciences. 18(12). 2660–2660. 55 indexed citations
8.
Saracino, Maria Addolorata, Anna De Palma, Giancarlo Boncompagni, & Maria Augusta Raggi. (2010). Analysis of risperidone and its metabolite in plasma and saliva by LC with coulometric detection and a novel MEPS procedure. Talanta. 81(4-5). 1547–1553. 40 indexed citations
9.
Calabresi, Laura, Guido Franceschini, Cesare R. Sirtori, et al.. (1997). Inhibition of VCAM-1 Expression in Endothelial Cells by Reconstituted High Density Lipoproteins. Biochemical and Biophysical Research Communications. 238(1). 61–65. 137 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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