G. Bonanni

848 citations
26 papers · 528 · h-index 15

Impact in

Papers in

G. Bonanni

26 papers receiving 492 citations

Peers

G. Bonanni
Comparison fields: 5 of 79
  • Reproductive Medicine 145
  • Pharmacology 77
  • Endocrinology, Diabetes and Metabolism 102
  • Sensory Systems 23
  • Physiology 20
Replace Li‐Quan Hu with:
Li‐Quan Hu China
Noriko Tagawa Japan
Saeed Shokri Iran
Mekbeb Afework Ethiopia
Guoliang Zhang China
H. Rochlitz Germany
Gülnur Take Türkiye
N. V. Emanuele United States
Sha Liu China
María Claudia Pérez United States
G. Bonanni relative to Li‐Quan Hu China Li‐Quan Hu's profile →
Citations per field
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Li‐Quan Hu · 1×
Citations per year

Countries citing papers authored by G. Bonanni

Since Specialization
Citations

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

Fields of papers citing papers by G. Bonanni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200477
2 200650
3 199343
4 201340
5 200734
6 199532
7 201528
8 199426
9 197623
10 201423
11 200322
12 198420
13 199619
14 201018
15 199014
16 200312
17 20099
18 20068
19 19976
20 20146

About G. Bonanni

G. Bonanni is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Molecular Biology, Public Health, Environmental and Occupational Health and Cellular and Molecular Neuroscience, having authored 26 papers that have together received 528 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (9 papers), Sperm and Testicular Function (6 papers), Hormonal Regulation and Hypertension (5 papers), Ovarian function and disorders (4 papers), Hypothalamic control of reproductive hormones (3 papers), Reproductive Biology and Fertility (3 papers), Metabolism and Genetic Disorders (2 papers) and Genetic Neurodegenerative Diseases (2 papers). The work is most often cited by research in Reproductive Medicine (145 citations), Pharmacology (77 citations), Endocrinology, Diabetes and Metabolism (102 citations), Sensory Systems (23 citations) and Physiology (20 citations). G. Bonanni has collaborated with scholars based in Italy, United States and Austria. Frequent co-authors include Decio Armanini, I. Mastrogiacomo, Cristina Fiore, Carla Scaroni, Paola Sartorato, Dayanne Mozaner Bordin, Mario Palermo, Elisa Scalco, L. Sartorelli and Roberto Tatarelli. Their work appears in journals such as Experimental and Clinical Endocrinology & Diabetes, Systems Biology in Reproductive Medicine, Neurological Sciences, Clinical & Experimental Immunology and International Journal of Sports Medicine.

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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