Giulia Gava

28 papers receiving 633 citations

Peers

Giulia Gava
Comparison fields: 5 of 77
  • Reproductive Medicine 120
  • Endocrinology, Diabetes and Metabolism 213
  • Social Psychology 207
  • Rheumatology 103
  • Pathology and Forensic Medicine 111
Replace Stefania Alvisi with:
Stefania Alvisi Italy
Theodora Kunovac Kallak Sweden
Ellis Martini Italy
Valentina Martelli Italy
Ilaria Mancini Italy
Marta Berra Italy
Menelaos L. Batrinos Greece
L Dennerstein Australia
W. Knogler Austria
Susan Howell United States
Giulia Gava relative to Stefania Alvisi Italy Stefania Alvisi's profile →
Citations per field
00.5×1.5×1.9×
Stefania Alvisi · 1×
Citations per year

Countries citing papers authored by Giulia Gava

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Gava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Giulia Gava, 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 Giulia Gava Line = papers co-authored together Giulia Gava links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019100
2 201664
3 201959
4 201546
5 201841
6 201938
7 201436
8 202024
9 201524
10 201723
11 201922
12 202220
13 201819
14 202117
15 201916
16 202114
17 202113
18 201913
19 202112
20 201711

About Giulia Gava

Giulia Gava is a scholar working on Endocrinology, Diabetes and Metabolism, Rheumatology, Social Psychology, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 28 papers that have together received 655 indexed citations. Recurring topics across this work include Pelvic floor disorders treatments (9 papers), Hormonal and reproductive studies (8 papers), LGBTQ Health, Identity, and Policy (8 papers), Menopause: Health Impacts and Treatments (6 papers), Sexual Differentiation and Disorders (6 papers), Reproductive Health and Technologies (3 papers), Estrogen and related hormone effects (3 papers) and Pregnancy-related medical research (2 papers). The work is most often cited by research in Reproductive Medicine (120 citations), Endocrinology, Diabetes and Metabolism (213 citations), Social Psychology (207 citations), Rheumatology (103 citations) and Pathology and Forensic Medicine (111 citations). Giulia Gava has collaborated with scholars based in Italy, Netherlands and South Africa. Frequent co-authors include Maria Cristina Meriggiola, Renato Seracchioli, Stefania Alvisi, Ilaria Mancini, Maurizio Baldassarre, Silvia Cerpolini, Valentina Martelli, Ilaria Bartolomei, Fabrizio Salvi and Giuseppe Battista. Their work appears in journals such as The Journal of Sexual Medicine, Clinical Endocrinology, Maturitas, Neurourology and Urodynamics and European Journal of Endocrinology.

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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