Devis Galesso

39 papers receiving 1.0k citations

Devis Galesso's Hit Papers

Hyaluronan: molecular size‐dependent signaling and biological functions in inflammation and cancer 2019 · 329 citations
3290+2+4Years since publication100200300

Peers

Devis Galesso
Comparison fields: 5 of 97
  • Cell Biology 343
  • Equine 31
  • Rheumatology 270
  • Molecular Medicine 78
  • Orthopedics and Sports Medicine 119
Replace Tina T. Chowdhury with:
Tina T. Chowdhury United Kingdom
Tianshun Xu United States
Bruna Corradetti Italy
Unai Silván Spain
Nicolas Tran‐Khanh Canada
Dana L. Nettles United States
Hugo Schmökel Switzerland
Zhen Yang China
Edward D. Bonnevie United States
Devis Galesso relative to Tina T. Chowdhury United Kingdom Tina T. Chowdhury's profile →
Citations per field
00.5×3.8×
Tina T. Chowdhury · 1×
Citations per year

Countries citing papers authored by Devis Galesso

Since Specialization
Citations

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

Fields of papers citing papers by Devis Galesso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Hyaluronan: molecular size‐dependent signaling and biological functions in inflammation and cancer
Hit paper breakdown →
2019329
2 2015114
3 202065
4 201845
5 201141
6 201936
7 200935
8 201932
9 201731
10 201728
11 202326
12 201624
13 201322
14 201922
15 201521
16 201618
17 201518
18 201816
19 202013
20 202313

About Devis Galesso

Devis Galesso is a scholar working on Rheumatology, Cell Biology, Surgery, Molecular Biology and Pharmacology, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (17 papers), Proteoglycans and glycosaminoglycans research (12 papers), Glycosylation and Glycoproteins Research (5 papers), Inflammatory mediators and NSAID effects (5 papers), Total Knee Arthroplasty Outcomes (4 papers), Tendon Structure and Treatment (4 papers), Protease and Inhibitor Mechanisms (4 papers) and Botulinum Toxin and Related Neurological Disorders (3 papers). The work is most often cited by research in Cell Biology (343 citations), Equine (31 citations), Rheumatology (270 citations), Molecular Medicine (78 citations) and Orthopedics and Sports Medicine (119 citations). Devis Galesso has collaborated with scholars based in Italy, United States and Greece. Frequent co-authors include Nikos K. Karamanos, Ilaria Caon, Zoi Piperigkou, Marco Franchi, Cynthia Secchieri, Lawrence J. Bonassar, Edward D. Bonnevie, Cristian Guarise, M. Pavan and Itai Cohen. Their work appears in journals such as Osteoarthritis and Cartilage, Acta Biomaterialia, Materials Science and Engineering C, Carbohydrate Research 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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