G. Properzi

48 papers receiving 2.3k citations

Peers

G. Properzi
Comparison fields: 5 of 112
  • Developmental Neuroscience 169
  • Cellular and Molecular Neuroscience 461
  • Cancer Research 332
  • Cell Biology 335
  • Reproductive Medicine 150
Replace Pedro Cuevas with:
Pedro Cuevas Spain
Heidi Scrable United States
Anders Hægerstrand Sweden
Peter Schratzberger Austria
Michelle Russell United States
Alpa Trivedi United States
Esther López‐Bayghen Mexico
Yuki Miyamoto Japan
Hugo Vankelecom Belgium
Ting Lei China
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Citations per field
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Citations per year

Countries citing papers authored by G. Properzi

Since Specialization
Citations

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

Fields of papers citing papers by G. Properzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013339
2 1995169
3 2005165
4 2016150
5 2012128
6 1991104
7 199992
8 200392
9 200086
10 200378
11 199966
12
Patients treated with antitumor drugs displaying neurological deficits are characterized by a low circulating level of nerve growth factor.
200065
13 200864
14 199264
15 200563
16 199561
17 201549
18 200247
19 200040
20
Ultrastructure of fetal human gonad before sexual differentiation and during early testicular and ovarian development.
199039

About G. Properzi

G. Properzi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Reproductive Medicine, Cell Biology and Public Health, Environmental and Occupational Health, having authored 48 papers that have together received 2.3k indexed citations. Recurring topics across this work include Nerve injury and regeneration (9 papers), Sperm and Testicular Function (9 papers), Extracellular vesicles in disease (6 papers), Prion Diseases and Protein Misfolding (6 papers), Proteoglycans and glycosaminoglycans research (5 papers), Reproductive Biology and Fertility (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Developmental Neuroscience (169 citations), Cellular and Molecular Neuroscience (461 citations), Cancer Research (332 citations), Cell Biology (335 citations) and Reproductive Medicine (150 citations). G. Properzi has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Mariantonia Logozzi, Stefano Fais, James W. Fawcett, Luigi Aloe, Sandro Francavilla, Claudio Ferri, Giuliana Cordeschi, Marco Fiore, Annalisa Santucci and Maria Domenica Simone. Their work appears in journals such as Andrologia, European Journal of Neuroscience, Molecular and Cellular Neuroscience, Journal of General Virology and European Journal of Pharmaceutical Sciences.

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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