Daniela Talarico

41 papers receiving 1.1k citations

Peers

Daniela Talarico
Comparison fields: 5 of 75
  • Cell Biology 241
  • Cancer Research 188
  • Hematology 133
  • Molecular Biology 823
  • Obstetrics and Gynecology 76
Replace Hena R. Ashar with:
Hena R. Ashar United States
Gregory W. Henkel United States
P Delli-Bovi United States
Margaret Bywater Sweden
Gunnar Wrobel Germany
Julie L. Rinkenberger United States
Etienne Danis United States
Maria-Asunción Ortega United States
Anthony Jackson United States
Dawn M. Bryce Canada
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Citations per year

Countries citing papers authored by Daniela Talarico

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Talarico

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniela Talarico, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniela Talarico Line = papers co-authored together Daniela Talarico links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990175
2 1991101
3 198799
4 199670
5
Transformation by basic fibroblast growth factor requires high levels of expression: comparison with transformation by hst/K-fgf.
198969
6 199960
7 199454
8 198954
9 199946
10 201344
11 199142
12 199842
13 198541
14 201839
15 198536
16 200528
17 199724
18 199321
19
Angiogenic activity of the K-fgf/hst oncogene in neural transplants.
199221
20 201516

About Daniela Talarico

Daniela Talarico is a scholar working on Molecular Biology, Oncology, Hematology, Cell Biology and Genetics, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (9 papers), Glycosylation and Glycoproteins Research (4 papers), Proteoglycans and glycosaminoglycans research (4 papers), Pancreatic function and diabetes (4 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), RNA Interference and Gene Delivery (3 papers), Pregnancy and preeclampsia studies (3 papers) and Reproductive System and Pregnancy (3 papers). The work is most often cited by research in Cell Biology (241 citations), Cancer Research (188 citations), Hematology (133 citations), Molecular Biology (823 citations) and Obstetrics and Gynecology (76 citations). Daniela Talarico has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Claudio Basilico, Francesco Blasi, Tambet Teesalu, Alka Mansukhani, Robert Z. Florkiewicz, Natalina Quarto, D B Rifkin, David Moscatelli, Vera Levytska and Giuliano Della Valle. Their work appears in journals such as Molecular and Cellular Biology, Developmental Dynamics, Mechanisms of Development, Proceedings of the National Academy of Sciences and Mutation research. Fundamental and molecular mechanisms of mutagenesis.

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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