Bianca Pollo

52.3k total citations
167 papers, 5.4k citations indexed

About

Bianca Pollo is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Bianca Pollo has authored 167 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Genetics, 46 papers in Molecular Biology and 36 papers in Oncology. Recurrent topics in Bianca Pollo's work include Glioma Diagnosis and Treatment (89 papers), Meningioma and schwannoma management (19 papers) and Brain Metastases and Treatment (15 papers). Bianca Pollo is often cited by papers focused on Glioma Diagnosis and Treatment (89 papers), Meningioma and schwannoma management (19 papers) and Brain Metastases and Treatment (15 papers). Bianca Pollo collaborates with scholars based in Italy, United States and Switzerland. Bianca Pollo's co-authors include Gaetano Finocchiaro, Maria Grazia Bruzzone, Giovanni Broggi, Marica Eoli, Andrea Salmaggi, Antonio Silvani, Francesco DiMeco, A. Boiardi, Sara Benedetti and Emanuela Maderna and has published in prestigious journals such as Nucleic Acids Research, Nature Medicine and Journal of Clinical Oncology.

In The Last Decade

Bianca Pollo

162 papers receiving 5.3k citations

Peers

Bianca Pollo
Comparison fields: 5 of 114
  • Genetics 2.5k
  • Molecular Biology 1.9k
  • Oncology 1.3k
  • Cancer Research 772
  • Immunology 719
Replace Atsushi Natsume with:
Atsushi Natsume Japan
Patrick N. Harter Germany
Ghazaleh Tabatabai Germany
Marica Eoli Italy
Tobey J. MacDonald United States
Yoshitaka Narita Japan
Patrick Roth Switzerland
M. Kelly Nicholas United States
Sieger Leenstra Netherlands
Joon H. Uhm United States
Atsushi Natsume Japan View profile →
Citations per field, relative to Bianca Pollo
Bianca Pollo · 1×
Citations per year, relative to Bianca Pollo
Bianca Pollo · 1×

Countries citing papers authored by Bianca Pollo

Since Specialization
Citations

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

Fields of papers citing papers by Bianca Pollo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bianca Pollo

This figure shows the co-authorship network connecting the top 25 collaborators of Bianca Pollo. A scholar is included among the top collaborators of Bianca Pollo 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 Bianca Pollo. Bianca Pollo 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
# Work Indexed citations
1 1
2 1
3 4
4 1
5 1
6 1
7 8
8 13
9 14
10 32
11 168
12 120
13 111
14 98
15 21
16 25
17 34
18 65
19 11
20 57

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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