S. Garavelli

1.2k citations
22 papers · 766 indexed · h-index 16

Impact in

Papers in

    • Multiple Myeloma Research and Treatments 6
    • Acute Myeloid Leukemia Research 2
    • MicroRNA in disease regulation 5

S. Garavelli

22 papers receiving 758 citations

Peers

S. Garavelli
Comparison fields: 5 of 94
  • Hematology 102
  • Cancer Research 132
  • Infectious Diseases 130
  • Oncology 176
  • Immunology 114
Replace Sho Mokuda with:
Sho Mokuda Japan
Sukanya Subramanian United States
Linchong Su China
Jieru Geng United States
Huaxiang Wu China
Hanqin Lei United States
Ki Wai Chik Hong Kong
Guillaume E. Desanti United Kingdom
Hongyan Lu China
S. Garavelli relative to Sho Mokuda Japan Sho Mokuda's profile →
Citations per field
00.5×6.8×
Sho Mokuda · 1×
Citations per year

Countries citing papers authored by S. Garavelli

Since Specialization
Citations

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

Fields of papers citing papers by S. Garavelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20211
2 202178
3 202111
4 20215
5 202028
6 202029
7 202019
8 202021
9 2020133
10 201983
11 201924
12 201922
13 201837
14 201615
15 201635
16 201537
17 201549
18 201525
19 201443
20 198669

About S. Garavelli

S. Garavelli is a scholar working on Hematology, Cancer Research, Immunology, Endocrine and Autonomic Systems and Oncology, having authored 22 papers that have together received 766 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (6 papers), MicroRNA in disease regulation (5 papers), Extracellular vesicles in disease (4 papers), Diabetes and associated disorders (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Cancer Mechanisms and Therapy (2 papers), Acute Myeloid Leukemia Research (2 papers) and Bone health and treatments (2 papers). The work is most often cited by research in Hematology (102 citations), Cancer Research (132 citations), Infectious Diseases (130 citations), Oncology (176 citations) and Immunology (114 citations). S. Garavelli has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Paola de Candia, Giuseppe Matarese, Francesco Prattichizzo, Veronica De Rosa, Raffaella Chiaramonte, M. Colombo, Antonino Neri, Natalia Platonova, Antonio La Cava and Carlo Alviggi. Their work appears in journals such as Oncotarget, Frontiers in Immunology, International Journal of Molecular Sciences, iScience and The International Journal of Biochemistry & Cell Biology.

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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