Giulia Gava

33 papers receiving 687 citations

Peers

Giulia Gava
Comparison fields: 5 of 78
  • Endocrinology, Diabetes and Metabolism 191
  • Reproductive Medicine 78
  • Social Psychology 200
  • Rheumatology 79
  • Pathology and Forensic Medicine 83
Replace Stefania Alvisi with:
Stefania Alvisi Italy
Theodora Kunovac Kallak Sweden
Ellis Martini Italy
Ilaria Mancini Italy
Tayane Muniz Fighera Brazil
Aneta Gawlik Poland
Svetlana Vujović Serbia
Menelaos L. Batrinos Greece
Marta Berra Italy
Lisa Larkin United States
Giulia Gava relative to Stefania Alvisi Italy Stefania Alvisi's profile →
Citations per field
00.5×1.5×2×2.4×
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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019105
2 201670
3 201964
4 201550
5 201843
6 201939
7 201439
8 202028
9 202225
10 201525
11 201924
12 201723
13 201819
14 202117
15 201917
16 202116
17 201915
18 202114
19 202113
20 201712

About Giulia Gava

Giulia Gava is a scholar working on Endocrinology, Diabetes and Metabolism, Social Psychology, Rheumatology, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 34 papers that have together received 710 indexed citations. Recurring topics across this work include LGBTQ Health, Identity, and Policy (9 papers), Hormonal and reproductive studies (7 papers), Pelvic floor disorders treatments (7 papers), Sexual Differentiation and Disorders (6 papers), Menopause: Health Impacts and Treatments (5 papers), Reproductive Health and Technologies (5 papers), Air Quality and Health Impacts (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (191 citations), Reproductive Medicine (78 citations), Social Psychology (200 citations), Rheumatology (79 citations) and Pathology and Forensic Medicine (83 citations). Giulia Gava has collaborated with scholars based in Italy, Netherlands and United States. Frequent co-authors include Maria Cristina Meriggiola, Renato Seracchioli, Stefania Alvisi, Ilaria Mancini, Maurizio Baldassarre, Silvia Cerpolini, Valentina Martelli, Fabrizio Salvi, Ilaria Bartolomei and Giuseppe Battista. Their work appears in journals such as Clinical Endocrinology, The Journal of Sexual Medicine, 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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