M. Biasiolo

829 total citations
24 papers, 642 citations indexed

About

M. Biasiolo is a scholar working on Molecular Biology, Cancer Research and Nutrition and Dietetics. According to data from OpenAlex, M. Biasiolo has authored 24 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Cancer Research and 4 papers in Nutrition and Dietetics. Recurrent topics in M. Biasiolo's work include MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (5 papers) and Circular RNAs in diseases (3 papers). M. Biasiolo is often cited by papers focused on MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (5 papers) and Circular RNAs in diseases (3 papers). M. Biasiolo collaborates with scholars based in Italy and United States. M. Biasiolo's co-authors include Stefania Bortoluzzi, Gabriele Sales, Andrea Bisognin, Alessandro Coppe, Chiara Romualdi, Luca Agnelli, Marta Lionetti, Katia Todoerti, Antonino Neri and Giorgio La Nasa and has published in prestigious journals such as Nucleic Acids Research, Blood and PLoS ONE.

In The Last Decade

M. Biasiolo

23 papers receiving 634 citations

Peers

M. Biasiolo
Comparison fields: 5 of 97
  • Molecular Biology 458
  • Cancer Research 434
  • Hematology 87
  • Pathology and Forensic Medicine 75
  • Oncology 52
Replace Giuseppe Cammarata with:
Giuseppe Cammarata Italy
Maddalena Di Sanzo Italy
Marzia Leotta Italy
Yunxiao Xu China
Qin Fang China
D Chatterjee United States
Katarina Rask Sweden
Zhengwen He China
Yaoyu Chen China
Welbert Oliveira Pereira Brazil
Giuseppe Cammarata Italy View profile →
Citations per field, relative to M. Biasiolo
M. Biasiolo · 1×
Citations per year, relative to M. Biasiolo
M. Biasiolo · 1×

Countries citing papers authored by M. Biasiolo

Since Specialization
Citations

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

Fields of papers citing papers by M. Biasiolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Biasiolo

This figure shows the co-authorship network connecting the top 25 collaborators of M. Biasiolo. A scholar is included among the top collaborators of M. Biasiolo 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 M. Biasiolo. M. Biasiolo 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 6
2 139
3 29
4 32
5
Autonomic dysfunction and endothelial changes in migraine sufferers.
25
6 128
7 7
8 2
9 7
10 9
11 2
12 7
13 6
14 9
15 7
16
Metabolites and enzyme activities involved in tryptophan metabolism in two different strains of mouse.
8
17 1
18 4
19 1
20 1

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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