Chiara Cosma
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Clinical Biochemistry top 5%
- Advanced Glycation End Products research
Papers in
-
- SARS-CoV-2 and COVID-19 Research 23
- SARS-CoV-2 detection and testing 16
- COVID-19 Clinical Research Studies 13
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 9
- Diabetes Treatment and Management 5
- Co-authors
- Mario Plebani (53 shared papers)Andrea Padoan (31 shared papers)Laura Sciacovelli (5 shared papers)Diego Faggian (6 shared papers)Daniela Basso (22 shared papers)Annunziata Lapolla (22 shared papers)Silvia Zuin (3 shared papers)Davide Negrini (2 shared papers)
In The Last Decade
Chiara Cosma
87 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 117
- Infectious Diseases 793
- Clinical Biochemistry 142
- Endocrinology, Diabetes and Metabolism 257
- Obstetrics and Gynecology 120
- Nephrology 94
Countries citing papers authored by Chiara Cosma
This map shows the geographic impact of Chiara Cosma'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 Chiara Cosma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiara Cosma more than expected).
Fields of papers citing papers by Chiara Cosma
This network shows the impact of papers produced by Chiara Cosma. 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 Chiara Cosma. The network helps show where Chiara Cosma may publish in the future.
Co-authors
The 25 scholars most cited alongside Chiara Cosma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 215 | |
| 2 | 2020 | 201 | |
| 3 | 2020 | 101 | |
| 4 | 2010 | 77 | |
| 5 | 2021 | 64 | |
| 6 | 2020 | 52 | |
| 7 | 2009 | 50 | |
| 8 | 2021 | 47 | |
| 9 | 2016 | 47 | |
| 10 | 2009 | 44 | |
| 11 | 2022 | 42 | |
| 12 | 2021 | 41 | |
| 13 | 2022 | 38 | |
| 14 | 2018 | 38 | |
| 15 | 2014 | 37 | |
| 16 | 1996 | 36 | |
| 17 | 2017 | 34 | |
| 18 | 2017 | 34 | |
| 19 | 2014 | 32 | |
| 20 | 2010 | 29 |
About Chiara Cosma
Chiara Cosma is a scholar working on Infectious Diseases, Endocrinology, Diabetes and Metabolism, Molecular Biology, Epidemiology and Physiology, having authored 93 papers that have together received 1.8k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (23 papers), SARS-CoV-2 detection and testing (16 papers), COVID-19 Clinical Research Studies (13 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Liver Disease Diagnosis and Treatment (7 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Diabetes Treatment and Management (5 papers) and Gestational Diabetes Research and Management (5 papers). The work is most often cited by research in Infectious Diseases (793 citations), Clinical Biochemistry (142 citations), Endocrinology, Diabetes and Metabolism (257 citations), Obstetrics and Gynecology (120 citations) and Nephrology (94 citations). Chiara Cosma has collaborated with scholars based in Italy, France and Germany. Frequent co-authors include Mario Plebani, Andrea Padoan, Laura Sciacovelli, Diego Faggian, Daniela Basso, Annunziata Lapolla, Silvia Zuin, Davide Negrini, Martina Zaninotto and Eugenio Ragazzi. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Clinica Chimica Acta, Digestive and Liver Disease, Clinical Biochemistry and Journal of Mass Spectrometry.
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.