R. Salerno

30 papers receiving 478 citations

Peers

R. Salerno
Comparison fields: 5 of 78
  • Urology 61
  • Endocrinology, Diabetes and Metabolism 148
  • Reproductive Medicine 52
  • Developmental Neuroscience 13
  • Nuclear and High Energy Physics 43
Replace R. Ghanadian with:
R. Ghanadian United Kingdom
Shimeng Guo China
R Julien France
Wells E. Farnsworth United States
András Dávid Tóth Hungary
Nikolaos Nikolaou United Kingdom
U. Dunzendorfer Germany
F.A. Lefebvre Canada
T Morato Mexico
Anna Rita Renzetti Italy
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Citations per year

Countries citing papers authored by R. Salerno

Since Specialization
Citations

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

Fields of papers citing papers by R. Salerno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198976
2 200358
3 200138
4 200036
5 198829
6 199628
7 198123
8 198119
9 200219
10 198119
11 200718
12
Role of adapted physical activity to prevent the adverse effects of the sarcopenia. A pilot study.
200916
13 200514
14 198114
15 198713
16 198612
17 198911
18 198910
19 200610
20 19848

About R. Salerno

R. Salerno is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics, Behavioral Neuroscience and Nuclear and High Energy Physics, having authored 32 papers that have together received 515 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (8 papers), Estrogen and related hormone effects (5 papers), Particle physics theoretical and experimental studies (4 papers), Stress Responses and Cortisol (4 papers), Mass Spectrometry Techniques and Applications (3 papers), bioluminescence and chemiluminescence research (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Superconducting Materials and Applications (2 papers). The work is most often cited by research in Urology (61 citations), Endocrinology, Diabetes and Metabolism (148 citations), Reproductive Medicine (52 citations), Developmental Neuroscience (13 citations) and Nuclear and High Energy Physics (43 citations). R. Salerno has collaborated with scholars based in Italy, Israel and France. Frequent co-authors include Gianni Forti, Mario Serio, M. Serio, Mario Maggi, Mario Pazzagli, Gabriella Barbara Vannelli, Tullio Barni, Michaela Luconi, Gianni Messeri and Alessandro Natali. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Clinica Chimica Acta, Clinical Chemistry, Journal of Physics G Nuclear and Particle Physics and The Prostate.

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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