Marta Strollo

791 citations
12 papers · 487 · h-index 10

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing
    • Genetics and Neurodevelopmental Disorders

Papers in

Marta Strollo

12 papers receiving 480 citations

Peers

Marta Strollo
Comparison fields: 5 of 78
  • Infectious Diseases 158
  • Genetics 89
  • Radiology, Nuclear Medicine and Imaging 54
  • Statistics, Probability and Uncertainty 18
  • Modeling and Simulation 10
Replace Yishai Pickman with:
Yishai Pickman Israel
Kevin J. Kovatch United States
Lauren A. Callender United Kingdom
Ji Soo Song South Korea
Esther Ng Singapore
Shengqing Wan China
Mushtaq Ahmed United States
Susanne Hörner Germany
Lingyan Fan China
Marta Strollo relative to Yishai Pickman Israel Yishai Pickman's profile →
Citations per field
00.5×3.6×
Yishai Pickman · 1×
Citations per year

Countries citing papers authored by Marta Strollo

Since Specialization
Citations

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

Fields of papers citing papers by Marta Strollo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marta Strollo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marta Strollo Line = papers co-authored together Marta Strollo links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2020179
2 201687
3 201476
4 202045
5 201929
6 201423
7 202013
8 20209
9 20179
10 20209
11 20167
12 20201

About Marta Strollo

Marta Strollo is a scholar working on Infectious Diseases, Molecular Biology, Pathology and Forensic Medicine, Physiology and Genetics, having authored 12 papers that have together received 487 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (2 papers), SARS-CoV-2 detection and testing (2 papers), Clinical Laboratory Practices and Quality Control (2 papers), Vitamin D Research Studies (2 papers), COVID-19 Clinical Research Studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Diabetes Management and Research (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Infectious Diseases (158 citations), Genetics (89 citations), Radiology, Nuclear Medicine and Imaging (54 citations), Statistics, Probability and Uncertainty (18 citations) and Modeling and Simulation (10 citations). Marta Strollo has collaborated with scholars based in Italy, Netherlands and Norway. Frequent co-authors include Massimo Locatelli, Andréa Motta, Davide Ferrari, Giuseppe Banfi, Isabella Barbiero, Nicoletta Landsberger, Anna Bergo, Charlotte Kilstrup‐Nielsen, Gilda Stefanelli and Marina Pontillo. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Clinica Chimica Acta, International Journal of Environmental Research and Public Health, Journal of Biological Chemistry and Journal of Medical Virology.

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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