Giulia Cervi
Impact in
- Obstetrics and Gynecology top 5%
- COVID-19 Impact on Reproduction
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- Stress Responses and Cortisol
Papers in
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- COVID-19 Clinical Research Studies 3
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- Venous Thromboembolism Diagnosis and Management 1
- Co-authors
- Giuseppe De Donno (5 shared papers)Massimiliano Beccaria (5 shared papers)Martina Garuti (5 shared papers)Antonietta Pecoriello (5 shared papers)Graziana Francesca Greco (4 shared papers)Francesco Inglese (5 shared papers)Linda Vignozzi (3 shared papers)Mario Maggi (3 shared papers)
- Journals
- The Journal of Sexual Medicine (1 paper)Andrology (1 paper)Pathology (1 paper)Pathologica (1 paper)Journal of Endocrinological Investigation (1 paper)
- Partner nations
- Italy
In The Last Decade
Giulia Cervi
7 papers receiving 310 citations
Giulia Cervi's Hit Papers
Peers
Comparison fields: 5 of 51
- Obstetrics and Gynecology 129
- Behavioral Neuroscience 28
- Infectious Diseases 92
- Endocrinology, Diabetes and Metabolism 51
- Reproductive Medicine 21
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 | Low testosterone levels predict clinical adverse outcomes in SARS‐CoV‐2 pneumonia patients Hit paper breakdown → | 2020 | 286 |
| 2 | 2021 | 13 | |
| 3 | 2021 | 6 | |
| 4 | 2010 | 4 | |
| 5 | 2022 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2020 | 2 |
About Giulia Cervi
Giulia Cervi is a scholar working on Infectious Diseases, Internal Medicine, Obstetrics and Gynecology, Hepatology and Hematology, having authored 7 papers that have together received 316 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (3 papers), Liver Diseases and Immunity (1 paper), Pancreatitis Pathology and Treatment (1 paper), Autoimmune and Inflammatory Disorders Research (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), COVID-19 Impact on Reproduction (1 paper), COVID-19 and healthcare impacts (1 paper) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper). The work is most often cited by research in Obstetrics and Gynecology (129 citations), Behavioral Neuroscience (28 citations), Infectious Diseases (92 citations), Endocrinology, Diabetes and Metabolism (51 citations) and Reproductive Medicine (21 citations). Giulia Cervi has collaborated with scholars based in Italy. Frequent co-authors include Giuseppe De Donno, Massimiliano Beccaria, Martina Garuti, Antonietta Pecoriello, Graziana Francesca Greco, Francesco Inglese, Linda Vignozzi, Mario Maggi, Giulia Rastrelli and Vincenza Di Stasi. Their work appears in journals such as The Journal of Sexual Medicine, Andrology, Pathology, Pathologica and Journal of Endocrinological Investigation.
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.