Mara Fanelli

516 total citations
15 papers, 234 citations indexed

About

Mara Fanelli is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Mara Fanelli has authored 15 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Genetics. Recurrent topics in Mara Fanelli's work include Cell Adhesion Molecules Research (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Medical Imaging Techniques and Applications (2 papers). Mara Fanelli is often cited by papers focused on Cell Adhesion Molecules Research (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Medical Imaging Techniques and Applications (2 papers). Mara Fanelli collaborates with scholars based in Italy, United States and Poland. Mara Fanelli's co-authors include Giovanni Scambia, Alessandra Battaglia, Alexia Buzzonetti, Andrea Fattorossi, Marco Petrillo, Gabriella Ferrandina, Enrica Martinelli, Massimo Massetti, Eugenio Caradonna and Marco Fossati and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.

In The Last Decade

Mara Fanelli

13 papers receiving 231 citations

Peers

Mara Fanelli
Comparison fields: 5 of 65
  • Molecular Biology 85
  • Immunology 67
  • Oncology 65
  • Pulmonary and Respiratory Medicine 33
  • Cancer Research 28
Nathan Nelson-Maney United States
Michitaro Ichikawa Japan
Efrat Landau Israel
Krzysztof Glomski United States
Alberto Berjón Spain
M Takeichi Japan
Takeshi Naruse Japan
Mark C. Eagleton United States
Hefin Rhys United Kingdom
Mikoto Yoshida Japan
Nathan Nelson-Maney United States View profile →
Citations per field, relative to Mara Fanelli
Mara Fanelli · 1×
Citations per year, relative to Mara Fanelli
Mara Fanelli · 1×

Countries citing papers authored by Mara Fanelli

Since Specialization
Citations

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

Fields of papers citing papers by Mara Fanelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mara Fanelli

This figure shows the co-authorship network connecting the top 25 collaborators of Mara Fanelli. A scholar is included among the top collaborators of Mara Fanelli 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 Mara Fanelli. Mara Fanelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 1
5 23
6 28
7 30
8 2
9 8
10 4
11
Nek6 and Hif-1α cooperate with the cytoskeletal gateway of drug resistance to drive outcome in serous ovarian cancer.
24
12 11
13 40
14 40
15 22

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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2026