Marta Colaneri

4.9k citations
68 papers · 1.8k indexed · 1 hit paper · h-index 12
Topics
COVID-19 Clinical Research Studies (22 papers)SARS-CoV-2 and COVID-19 Research (14 papers)Long-Term Effects of COVID-19 (10 papers)
Partner nations
ItalyNetherlandsDenmark

In The Last Decade

Marta Colaneri

51 papers receiving 1.7k citations

Hit Papers

Modelling the COVID-19 epidemic and implementation of pop...202020262022202420202505007501000

Peers

Marta Colaneri
Comparison fields: 5 of 116
  • Modeling and Simulation 1.1k
  • Infectious Diseases 906
  • Economics and Econometrics 315
  • Epidemiology 296
  • Public Health, Environmental and Occupational Health 284
Replace Kenji Mizumoto with:
Kenji Mizumoto Japan
Juliette Paireau France
Alexander E. Zarebski Australia
Calvin J. Chiew Singapore
China CDC Weekly
Christine Tedijanto United States
Hatem Q. Makhdoom Saudi Arabia
Qulu Zheng United States
Cleo Anastassopoulou Greece
Forrest K. Jones United States
Marta Colaneri relative to Kenji Mizumoto Japan Kenji Mizumoto's profile →
Citations per field
00.5×3.5×
Kenji Mizumoto · 1×
Citations per year

Countries citing papers authored by Marta Colaneri

Since Specialization
Citations

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

Fields of papers citing papers by Marta Colaneri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marta Colaneri

This figure shows the co-authorship network connecting the top 25 collaborators of Marta Colaneri. A scholar is included among the top collaborators of Marta Colaneri 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 Marta Colaneri. Marta Colaneri 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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19 68
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About Marta Colaneri

Marta Colaneri is a scholar working on Microbiology, Infectious Diseases and Applied Microbiology and Biotechnology, having authored 68 papers that have together received 1.8k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (22 papers), SARS-CoV-2 and COVID-19 Research (14 papers) and Long-Term Effects of COVID-19 (10 papers). The work is most often cited by research in Modeling and Simulation (1.1k citations), Infectious Diseases (906 citations) and Neurology (233 citations). Marta Colaneri has collaborated with scholars based in Italy, Netherlands and Denmark. Frequent co-authors include Raffaele Bruno, Patrizio Colaneri, Franco Blanchini, Giulia Giordano, Angela Di Matteo, Di Filippo A, Paolo Sacchi, Valentina Zuccaro, Elena Seminari and Pietro Valsecchi. Their work appears in journals such as Nature Medicine, Scientific Reports and Antimicrobial Agents and Chemotherapy.

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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