Valeria Bertagnolo

2.4k citations
85 papers · 2.0k indexed · h-index 25
Topics
Retinoids in leukemia and cellular processes (20 papers)Acute Myeloid Leukemia Research (15 papers)Protein Kinase Regulation and GTPase Signaling (13 papers)
Partner nations
ItalyUnited StatesIraq

In The Last Decade

Valeria Bertagnolo

82 papers receiving 2.0k citations

Peers

Valeria Bertagnolo
Comparison fields: 5 of 99
  • Molecular Biology 1.5k
  • Cell Biology 356
  • Oncology 345
  • Cancer Research 256
  • Hematology 247
Replace Anna Maria Billi with:
Anna Maria Billi Italy
Paul J. Coffer Netherlands
Anne B. Jefferson United States
Nancy Olashaw United States
Jiefei Tong Canada
Julien Fitamant United States
Ji Hye Paik United States
Jonathan Hurov United States
Daniela Barilá Italy
Kelley M. Argraves United States
Valeria Bertagnolo relative to Anna Maria Billi Italy Anna Maria Billi's profile →
Citations per field
00.5×1.5×
Anna Maria Billi · 1×
Citations per year

Countries citing papers authored by Valeria Bertagnolo

Since Specialization
Citations

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

Fields of papers citing papers by Valeria Bertagnolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valeria Bertagnolo

This figure shows the co-authorship network connecting the top 25 collaborators of Valeria Bertagnolo. A scholar is included among the top collaborators of Valeria Bertagnolo 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 Valeria Bertagnolo. Valeria Bertagnolo 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
#WorkIndexed citations
1 2
2 0
3 3
4 1
5 11
6 2
7 8
8 20
9 13
10 26
11 10
12 50
13 21
14 60
15 39
16 5
17 291
18 13
19 16
20 49

About Valeria Bertagnolo

Valeria Bertagnolo is a scholar working on Hematology, Cancer Research and Molecular Biology, having authored 85 papers that have together received 2.0k indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (20 papers), Acute Myeloid Leukemia Research (15 papers) and Protein Kinase Regulation and GTPase Signaling (13 papers). The work is most often cited by research in Hematology (247 citations), Molecular Biology (1.5k citations) and Cell Biology (356 citations). Valeria Bertagnolo has collaborated with scholars based in Italy, United States and Iraq. Frequent co-authors include Silvano Capitani, Luca M. Neri, Federica Brugnoli, Marco Marchisio, Silvia Grassilli, Alberto M. Martelli, Lucia Manzoli, Lucio Cocco, Raymond Gilmour and Maurizio Previati. Their work appears in journals such as Nature, Nucleic Acids Research and Analytical Biochemistry.

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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