Gessica Vasco

3.5k citations
58 papers · 1.1k indexed · h-index 19
Topics
Genetic Neurodegenerative Diseases (16 papers)Mitochondrial Function and Pathology (14 papers)Muscle Physiology and Disorders (11 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEAnnals of Neurology

In The Last Decade

Gessica Vasco

51 papers receiving 1.1k citations

Peers

Gessica Vasco
Comparison fields: 5 of 85
  • Molecular Biology 639
  • Cellular and Molecular Neuroscience 246
  • Genetics 169
  • Genetics 143
  • Neurology 126
Replace Eppie M. Yiu with:
Eppie M. Yiu Australia
Gholam Ali Shahidi Iran
Julian Teufel Germany
Puiu Nisipeanu Israel
Ying Wu China
Kiyoharu Inoue Japan
Roberto Rodríguez‐Labrada Cuba
Bülent Elibol Türkiye
Bi Zhao China
Wim H.J.P. Linssen Netherlands
Gessica Vasco relative to Eppie M. Yiu Australia Eppie M. Yiu's profile →
Citations per field
00.5×1.5×2.3×
Eppie M. Yiu · 1×
Citations per year

Countries citing papers authored by Gessica Vasco

Since Specialization
Citations

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

Fields of papers citing papers by Gessica Vasco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gessica Vasco

This figure shows the co-authorship network connecting the top 25 collaborators of Gessica Vasco. A scholar is included among the top collaborators of Gessica Vasco 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 Gessica Vasco. Gessica Vasco 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 0
2 0
3 0
4 7
5 2
6 6
7 4
8 5
9 4
10 6
11 18
12 16
13 12
14 8
15 53
16 126
17 2
18 103
19 19
20 9

About Gessica Vasco

Gessica Vasco is a scholar working on Cellular and Molecular Neuroscience, Physical Therapy, Sports Therapy and Rehabilitation and Genetics, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (16 papers), Mitochondrial Function and Pathology (14 papers) and Muscle Physiology and Disorders (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (246 citations), Genetics (143 citations) and Neurology (87 citations). Gessica Vasco has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Enrico Bertini, Tommaso Schirinzi, Enrico Castelli, Eugenio Mercuri, Marika Pane, Maurizio Petrarca, Flaviana Bianco, Fiorella Piemonte, Sara Petrillo and Angela Berardinelli. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Annals of Neurology.

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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