Roberta Salaroli

505 citations
34 papers · 381 · h-index 12

Impact in

  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research
    • Glioma Diagnosis and Treatment
    • Mesenchymal stem cell research
    • Amyotrophic Lateral Sclerosis Research

Papers in

Roberta Salaroli

33 papers receiving 373 citations

Peers

Roberta Salaroli
Comparison fields: 5 of 75
  • Genetics 95
  • Neurology 52
  • Molecular Biology 157
  • Cancer Research 28
  • Oral Surgery 12
Replace Lianlian Liu with:
Lianlian Liu China
Rituparna Kundu Chaudhuri India
Jennifer Varin France
Rajalakshmi Gope India
Mingshan Zhang China
Yanfang Liang China
Diletta Arcidiacono Italy
Jia-Hui Huang China
Xiaodong Ju China
Felicia Permatasari China
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Citations per field
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Lianlian Liu · 1×
Citations per year

Countries citing papers authored by Roberta Salaroli

Since Specialization
Citations

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

Fields of papers citing papers by Roberta Salaroli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Roberta Salaroli, 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 Roberta Salaroli Line = papers co-authored together Roberta Salaroli 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 201444
2 201340
3 201933
4 201126
5 202023
6 202118
7 201217
8 202116
9 202214
10 200814
11 201413
12 202212
13 201511
14 201911
15 201910
16 20218
17 20208
18 20207
19 20227
20 20166

About Roberta Salaroli

Roberta Salaroli is a scholar working on Molecular Biology, Surgery, Genetics, Epidemiology and Pharmacology, having authored 34 papers that have together received 381 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Essential Oils and Antimicrobial Activity (3 papers), Virology and Viral Diseases (2 papers), Infant Nutrition and Health (2 papers), Gastroesophageal reflux and treatments (2 papers), Cancer Cells and Metastasis (2 papers) and Traditional Chinese Medicine Analysis (2 papers). The work is most often cited by research in Genetics (95 citations), Neurology (52 citations), Molecular Biology (157 citations), Cancer Research (28 citations) and Oral Surgery (12 citations). Roberta Salaroli has collaborated with scholars based in Italy, Belgium and Ecuador. Frequent co-authors include Giovanna Cenacchi, Monica Forni, Chiara Bernardini, Valentina Papa, Augusta Zannoni, C. Angelini, Martina Bertocchi, Annarita Scaramozza, Gianni Sorarú and Giulia Andreani. Their work appears in journals such as Animals, Oxidative Medicine and Cellular Longevity, BMC Veterinary Research, Research in Veterinary Science and PLoS ONE.

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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