Giulia Cervi
Impact in
- Obstetrics and Gynecology top 5%
- COVID-19 Impact on Reproduction
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
-
- COVID-19 Clinical Research Studies 5
- SARS-CoV-2 and COVID-19 Research 3
- Parvovirus B19 Infection Studies 1
-
- Stress Responses and Cortisol 2
- Co-authors
- Massimiliano Beccaria (5 shared papers)Francesco Inglese (5 shared papers)Giuseppe De Donno (5 shared papers)Antonietta Pecoriello (5 shared papers)Martina Garuti (5 shared papers)Graziana Francesca Greco (4 shared papers)Fabio Spreafico (4 shared papers)Elisa Maseroli (3 shared papers)
- Journals
- Andrology (1 paper)The Journal of Sexual Medicine (1 paper)Journal of Endocrinological Investigation (1 paper)Pathologica (1 paper)Monaldi Archives for Chest Disease (1 paper)
In The Last Decade
Giulia Cervi
6 papers receiving 289 citations
Peers
Comparison fields: 5 of 52
- Obstetrics and Gynecology 137
- Behavioral Neuroscience 50
- Infectious Diseases 128
- Reproductive Medicine 35
- Endocrinology, Diabetes and Metabolism 58
Countries citing papers authored by Giulia Cervi
This map shows the geographic impact of Giulia Cervi'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 Giulia Cervi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Cervi more than expected).
Fields of papers citing papers by Giulia Cervi
This network shows the impact of papers produced by Giulia Cervi. 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 Giulia Cervi. The network helps show where Giulia Cervi may publish in the future.
Co-authors
The 25 scholars most cited alongside Giulia Cervi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 269 | |
| 2 | 2021 | 12 | |
| 3 | 2021 | 5 | |
| 4 | 2022 | 4 | |
| 5 | 2020 | 2 | |
| 6 | 2023 | 1 |
About Giulia Cervi
Giulia Cervi is a scholar working on Infectious Diseases, Behavioral Neuroscience, Pulmonary and Respiratory Medicine, Internal Medicine and Oncology, having authored 6 papers that have together received 293 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Stress Responses and Cortisol (2 papers), COVID-19 and healthcare impacts (1 paper), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper), Parvovirus B19 Infection Studies (1 paper), COVID-19 Impact on Reproduction (1 paper) and Venous Thromboembolism Diagnosis and Management (1 paper). The work is most often cited by research in Obstetrics and Gynecology (137 citations), Behavioral Neuroscience (50 citations), Infectious Diseases (128 citations), Reproductive Medicine (35 citations) and Endocrinology, Diabetes and Metabolism (58 citations). Giulia Cervi has collaborated with scholars based in Italy and Cyprus. Frequent co-authors include Massimiliano Beccaria, Francesco Inglese, Giuseppe De Donno, Antonietta Pecoriello, Martina Garuti, Graziana Francesca Greco, Fabio Spreafico, Elisa Maseroli, Linda Vignozzi and Mario Maggi. Their work appears in journals such as Andrology, The Journal of Sexual Medicine, Journal of Endocrinological Investigation, Pathologica and Monaldi Archives for Chest Disease.
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.