Veronica Sansoni

981 citations
49 papers · 749 · h-index 16

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Exercise and Physiological Responses

Papers in

    • Bone Metabolism and Diseases 5
    • Circular RNAs in diseases 5
    • Adipose Tissue and Metabolism 8
    • Nutrition and Health in Aging 4

Veronica Sansoni

44 papers receiving 740 citations

Peers

Veronica Sansoni
Comparison fields: 5 of 87
  • Cancer Research 202
  • Rehabilitation 66
  • Orthopedics and Sports Medicine 73
  • Physiology 125
  • Molecular Biology 328
Replace Liu Shi with:
Liu Shi China
Fanqi Kong China
Shengfeng Zhan China
Regan‐Heng Zhang Canada
Jill A. Rahnert United States
Yugal Behl United States
Hongbin Zhang China
Laura Forcina Italy
Paolo Pignataro Italy
Kazuhiro Fukushima Japan
Veronica Sansoni relative to Liu Shi China Liu Shi's profile →
Citations per field
00.5×
Liu Shi · 1×
Citations per year

Countries citing papers authored by Veronica Sansoni

Since Specialization
Citations

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

Fields of papers citing papers by Veronica Sansoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019127
2 201591
3 201855
4 201832
5 201629
6 201828
7 201626
8 202125
9 201924
10 201524
11 201222
12 201920
13 202118
14 201318
15 202118
16 201616
17 202415
18 202014
19 201514
20 202011

About Veronica Sansoni

Veronica Sansoni is a scholar working on Molecular Biology, Physiology, Cancer Research, Rehabilitation and Surgery, having authored 49 papers that have together received 749 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (10 papers), Adipose Tissue and Metabolism (8 papers), Exercise and Physiological Responses (7 papers), Bone Metabolism and Diseases (5 papers), Circular RNAs in diseases (5 papers), Nutrition and Health in Aging (4 papers), Muscle metabolism and nutrition (3 papers) and Bone health and osteoporosis research (3 papers). The work is most often cited by research in Cancer Research (202 citations), Rehabilitation (66 citations), Orthopedics and Sports Medicine (73 citations), Physiology (125 citations) and Molecular Biology (328 citations). Veronica Sansoni has collaborated with scholars based in Italy, Poland and Hungary. Frequent co-authors include Giovanni Lombardi, Silvia Perego, Giuseppe Banfi, Martina Faraldi, Marta Gomarasca, Fabián Sanchis‐Gomar, Romina Combi, Luigi Ferini‐Strambi, Ewa Ziemann and Chiara Verdelli. Their work appears in journals such as Frontiers in Nutrition, International Journal of Molecular Sciences, Frontiers in Bioscience-Landmark, Biofabrication and Journal of Sleep Research.

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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