Giuseppa Padova

469 citations
9 papers · 270 · h-index 7

Impact in

    • Sperm and Testicular Function
    • Nuclear Structure and Function
    • RNA Research and Splicing
    • RNA regulation and disease
    • Genomics and Chromatin Dynamics
    • Metabolism, Diabetes, and Cancer

Papers in

Giuseppa Padova

9 papers receiving 262 citations

Peers

Giuseppa Padova
Comparison fields: 5 of 48
  • Reproductive Medicine 27
  • Molecular Biology 172
  • Endocrinology, Diabetes and Metabolism 32
  • Pharmacy 9
  • Oncology 47
Replace Joo‐Yeon Hwang with:
Joo‐Yeon Hwang South Korea
Dorota J. Hawksworth United States
N. Miller United Kingdom
Lúcia Helena Coelho Nóbrega Brazil
Eugènia Mariné Barjoan France
Shu Ran China
Donna O’Neil United Kingdom
Alya Al-Shakaki Qatar
Karen E. Vagnoni United States
Yanxing Wei China
Giuseppa Padova relative to Joo‐Yeon Hwang South Korea Joo‐Yeon Hwang's profile →
Citations per field
00.5×3.1×
Joo‐Yeon Hwang · 1×
Citations per year

Countries citing papers authored by Giuseppa Padova

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppa Padova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2000137
2 201346
3 199246
4
Influence of abstinence length on ejaculate characteristics.
198815
5 20189
6 19967
7 19836
8 20192
9
Ovulation monitored by serum 17 beta-estradiol and ultrasound: differential ovarian response to human gonadotropins in various anovulatory states.
19892

About Giuseppa Padova

Giuseppa Padova is a scholar working on Molecular Biology, Reproductive Medicine, Genetics, Endocrinology, Diabetes and Metabolism and Oncology, having authored 9 papers that have together received 270 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (3 papers), Nuclear Structure and Function (2 papers), Sperm and Testicular Function (2 papers), Estrogen and related hormone effects (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Diet, Metabolism, and Disease (1 paper), Diabetes Management and Research (1 paper) and Ovarian function and disorders (1 paper). The work is most often cited by research in Reproductive Medicine (27 citations), Molecular Biology (172 citations), Endocrinology, Diabetes and Metabolism (32 citations), Pharmacy (9 citations) and Oncology (47 citations). Giuseppa Padova has collaborated with scholars based in Italy and France. Frequent co-authors include Patrizia Tita, Dario Giuffrida, André Grimaldi, Richard C. Trembath, Sue Shackleton, Corinne Vigouroux, Jocelyne Magré, Olivier Lascols, Charlotte Bourut and Jacqueline Capeau. Their work appears in journals such as Acta Diabetologica, Diabetes, European Journal of Cancer, Journal of Endocrinological Investigation and PubMed.

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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