Daniela Salvatori

2.9k total citations
72 papers, 1.6k citations indexed

About

Daniela Salvatori is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Daniela Salvatori has authored 72 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 15 papers in Epidemiology and 11 papers in Oncology. Recurrent topics in Daniela Salvatori's work include Herpesvirus Infections and Treatments (10 papers), Pluripotent Stem Cells Research (10 papers) and Renal and related cancers (9 papers). Daniela Salvatori is often cited by papers focused on Herpesvirus Infections and Treatments (10 papers), Pluripotent Stem Cells Research (10 papers) and Renal and related cancers (9 papers). Daniela Salvatori collaborates with scholars based in Netherlands, Italy and United States. Daniela Salvatori's co-authors include Christine L. Mummery, Christian Freund, Els C. Robanus-Maandag, Richard P. Davis, Cathelijne W. van den Berg, Maaike Hoekstra, Cheryl Dambrot, Dorien Ward‐van Oostwaard, Connie R. Bezzina and Carol Ann Remme and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Daniela Salvatori

65 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela Salvatori Netherlands 24 824 318 227 219 164 72 1.6k
Sophie Chabot France 26 684 0.8× 925 2.9× 324 1.4× 190 0.9× 121 0.7× 54 2.3k
Ronit Shtrichman Israel 16 1.1k 1.3× 242 0.8× 209 0.9× 100 0.5× 144 0.9× 20 1.6k
Flavio Lejbkowicz Israel 21 1.0k 1.2× 206 0.6× 307 1.4× 139 0.6× 125 0.8× 55 2.0k
Jonas C. Schupp United States 19 908 1.1× 445 1.4× 214 0.9× 174 0.8× 269 1.6× 69 2.6k
Kathleen R. Braun United States 26 1.0k 1.2× 320 1.0× 128 0.6× 153 0.7× 286 1.7× 43 2.2k
Gabriel Sosne United States 25 655 0.8× 247 0.8× 95 0.4× 283 1.3× 202 1.2× 47 2.1k
Maria Nikolova Bulgaria 20 679 0.8× 625 2.0× 210 0.9× 244 1.1× 112 0.7× 77 2.1k
Zuzana Berkova United States 22 711 0.9× 223 0.7× 267 1.2× 211 1.0× 115 0.7× 47 1.5k
Alexandra Lucas United States 24 392 0.5× 339 1.1× 81 0.4× 231 1.1× 161 1.0× 67 1.6k
Verônica Morandi Brazil 22 588 0.7× 194 0.6× 116 0.5× 363 1.7× 80 0.5× 46 1.4k

Countries citing papers authored by Daniela Salvatori

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Salvatori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Salvatori

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Salvatori. A scholar is included among the top collaborators of Daniela Salvatori 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 Daniela Salvatori. Daniela Salvatori 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
1.
Vernooij, J.C.M., et al.. (2025). Assessing Cognitive Load Using EEG and Eye-Tracking in 3-D Learning Environments: A Systematic Review. Multimodal Technologies and Interaction. 9(9). 99–99.
2.
Eleveld, Thomas F., Ad Gillis, Bernard A. J. Roelen, et al.. (2025). Depletion of TP53 in Human Pluripotent Stem Cells Triggers Malignant‐Like Behavior. Advanced Biology. 9(4). e2400538–e2400538.
3.
Hierck, Beerend P., et al.. (2024). Links between learning goals, learning activities, and learning outcomes in simulation-based clinical skills training: a systematic review of the veterinary literature. Frontiers in Veterinary Science. 11. 1463642–1463642. 2 indexed citations
4.
5.
Vlasblom, Ronald, Mátyás A. Bittenbinder, Jon-Ruben van Rhijn, et al.. (2024). Distinct cardiotoxic effects by venoms of a spitting cobra (Naja pallida) and a rattlesnake (Crotalus atrox) revealed using an ex vivo Langendorff heart model. Toxicon. 240. 107637–107637.
6.
Tong, Xiaole, Marcella van Hoolwerff, Frank M. Riemers, et al.. (2024). Isolation and tracing of matrix-producing notochordal and chondrocyte cells using ACAN-2A-mScarlet reporter human iPSC lines. Science Advances. 10(43). eadp3170–eadp3170.
7.
8.
Lim, Jamie, Jaap J. Plomp, Dana L.E. Vergoossen, et al.. (2023). Development and characterization of agonistic antibodies targeting the Ig-like 1 domain of MuSK. Scientific Reports. 13(1). 7478–7478. 4 indexed citations
9.
Messina, Valeria, et al.. (2023). Different methods for textural evaluation of freeze‐dried candies during storage. Journal of Texture Studies. 54(4). 550–559. 1 indexed citations
10.
Roo, Jolanda J. D. de, Laura García-Pérez, Brigitta A. E. Naber, et al.. (2022). Axin2/Conductin Is Required for Normal Haematopoiesis and T Lymphopoiesis. Cells. 11(17). 2679–2679. 3 indexed citations
11.
Zhang, Zhengzheng, Martijn L. Manson, Thomas Hankemeier, et al.. (2022). PRMT3 inhibitor SGC707 reduces triglyceride levels and induces pruritus in Western-type diet-fed LDL receptor knockout mice. Scientific Reports. 12(1). 483–483. 7 indexed citations
12.
Salvatori, Daniela, et al.. (2022). Preclinical model for lumbar interbody fusion in small ruminants: Rationale and guideline. Journal of Orthopaedic Translation. 38. 167–174. 5 indexed citations
13.
Deken, Marion M., Shadhvi S. Bhairosingh, Daniela Salvatori, et al.. (2020). Small Molecules for Multi-Wavelength Near-Infrared Fluorescent Mapping of Regional and Sentinel Lymph Nodes in Colorectal Cancer Staging. Frontiers in Oncology. 10. 586112–586112. 1 indexed citations
14.
15.
Doorduijn, Elien M., Marjolein Sluijter, Daniela Salvatori, et al.. (2017). CD4+ T Cell and NK Cell Interplay Key to Regression of MHC Class Ilow Tumors upon TLR7/8 Agonist Therapy. Cancer Immunology Research. 5(8). 642–653. 36 indexed citations
16.
Diepen, Janna A. van, Rinke Stienstra, Irene O.C.M. Vroegrijk, et al.. (2012). Caspase-1 deficiency in mice reduces intestinal triglyceride absorption and hepatic triglyceride secretion. Journal of Lipid Research. 54(2). 448–456. 32 indexed citations
17.
Vittori, Sauro, Daniela Salvatori, Rosaria Volpini, et al.. (2003). Deaza- and Deoxyadenosine Derivatives: Synthesis and Inhibition of Animal Viruses as Human Infection Models. Nucleosides Nucleotides & Nucleic Acids. 22(5-8). 877–881. 2 indexed citations
18.
Salvatori, Daniela, et al.. (2002). Research on Maedi-Visna virus infection in sheep flocks in some Italian regions.. Large animals review. 8(4). 57–62. 1 indexed citations
19.
Castrucci, G, et al.. (1998). Serological studies in beef cattle farms with reference to the most common viral agents.. Large animals review. 4(3). 43–50. 2 indexed citations
20.
Castrucci, G, et al.. (1998). Further investigations on the efficacy of a non-specific defence inducer evaluated in calves exposed to infectious bovine rhinotracheitis virus. Comparative Immunology Microbiology and Infectious Diseases. 21(2). 155–163. 13 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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