Clara Di Germanio

2.6k citations
57 papers · 1.3k indexed · 2 hit papers · h-index 17
Topics
SARS-CoV-2 and COVID-19 Research (21 papers)COVID-19 Clinical Research Studies (14 papers)SARS-CoV-2 detection and testing (11 papers)

In The Last Decade

Clara Di Germanio

50 papers receiving 1.3k citations

Hit Papers

A time to fast201820262020202320182023100200300

Peers

Clara Di Germanio
Comparison fields: 5 of 117
  • Physiology 481
  • Molecular Biology 328
  • Infectious Diseases 271
  • Aging 160
  • Endocrine and Autonomic Systems 156
Replace Giulia Accardi with:
Giulia Accardi Italy
Mattia Emanuela Ligotti Italy
Maria Panagiota Panourgia Italy
Florinda Listı̀ Italy
Brendan Payne United Kingdom
Maria Paola Grimaldi Italy
Roberta Galeazzi Italy
Christopher A. Jolly United States
Nathan J. O’Callaghan Australia
Yegor E. Yegorov Russia
Clara Di Germanio relative to Giulia Accardi Italy Giulia Accardi's profile →
Citations per field
00.5×3.1×
Giulia Accardi · 1×
Citations per year

Countries citing papers authored by Clara Di Germanio

Since Specialization
Citations

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

Fields of papers citing papers by Clara Di Germanio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clara Di Germanio. 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 Clara Di Germanio. The network helps show where Clara Di Germanio may publish in the future.

Co-authorship network of co-authors of Clara Di Germanio

This figure shows the co-authorship network connecting the top 25 collaborators of Clara Di Germanio. A scholar is included among the top collaborators of Clara Di Germanio 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 Clara Di Germanio. Clara Di Germanio 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
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12 11
13 3
14 8
15 29
16 37
17 12
18 2
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20 16

About Clara Di Germanio

Clara Di Germanio is a scholar working on Aging, Infectious Diseases and Virology, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (21 papers), COVID-19 Clinical Research Studies (14 papers) and SARS-CoV-2 detection and testing (11 papers). The work is most often cited by research in Aging (160 citations), Endocrine and Autonomic Systems (156 citations) and Physiology (481 citations). Clara Di Germanio has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Rafael de Cabo, Michel Bernier, Andrea Di Francesco, Sarah J. Mitchell, Michael P. Busch, Mars Stone, Miguel A. Aon, Dushani L. Palliyaguru, Irene Alfaras and Julie A. Mattison. Their work appears in journals such as Science, Nucleic Acids Research and Nature Communications.

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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