Monica Govi

594 total citations
2 papers, 3 citations indexed

About

Monica Govi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Monica Govi has authored 2 papers receiving a total of 3 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 1 paper in Genetics. Recurrent topics in Monica Govi's work include Genetic Neurodegenerative Diseases (2 papers), Muscle Physiology and Disorders (2 papers) and Connective tissue disorders research (1 paper). Monica Govi is often cited by papers focused on Genetic Neurodegenerative Diseases (2 papers), Muscle Physiology and Disorders (2 papers) and Connective tissue disorders research (1 paper). Monica Govi collaborates with scholars based in Italy. Monica Govi's co-authors include E. Bonifazi, Milena Alù, Rossella Tupler, Maurizio Moggio, Lucio Santoro, Carmelo Rodolico, Isabella Scionti, Gianmarco Ferri, Fabiano Mele and C. Angelini and has published in prestigious journals such as Neuromuscular Disorders and IRIS eCampus Telematic University (Università degli Studi eCampus).

In The Last Decade

Monica Govi

2 papers receiving 3 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Monica Govi Italy 2 2 1 1 1 1 2 3
Marzena Zboch Germany 2 2 1.0× 3 4
Loren Bird United States 2 2 1.0× 4 4
Valérie Kremer France 1 2 1.0× 2 2
JD Finn Netherlands 2 2 1.0× 2 3
Taniesha Morgan United Kingdom 2 2 1.0× 2 4
Taro Shibasaki Japan 2 2 1.0× 2 3
Babita Pawarova United Kingdom 2 2 1.0× 2 2
M. Tost Germany 2 2 1.0× 2 3
Dalia Kozlovienė Lithuania 2 2 1.0× 1 1.0× 2 3
Vasant Honavar 1 2 1.0× 2 2

Countries citing papers authored by Monica Govi

Since Specialization
Citations

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

Fields of papers citing papers by Monica Govi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monica Govi

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

All Works

2 of 2 papers shown
1.
Govi, Monica, et al.. (2017). The Italian FSHD registry: An enhanced data integration and analytics framework for smart health care. IRIS eCampus Telematic University (Università degli Studi eCampus). 1–6. 2 indexed citations
2.
Govi, Monica, Isabella Scionti, Francesca Gabriella Greco, et al.. (2009). G.P.15.08 High genetic variability in European population: The FSHD complex puzzle. Neuromuscular Disorders. 19(8-9). 649–649. 1 indexed citations

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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