Diego Arcelli

1.8k citations
39 papers · 1.6k · h-index 21

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cutaneous lymphoproliferative disorders research

Papers in

Diego Arcelli

39 papers receiving 1.5k citations

Peers

Diego Arcelli
Comparison fields: 5 of 108
  • Cancer Research 335
  • Dermatology 194
  • Oral Surgery 96
  • Immunology 236
  • Obstetrics and Gynecology 71
Replace Velidi H. Rao with:
Velidi H. Rao United States
Richard N. Tamura United States
H. Seppä Finland
Peter Neth Germany
Michael P. Skinner Australia
Dongmiao Wang China
Qihui “Jim” Zhai United States
Carmen Maria Ardeleanu Romania
Laikui Liu China
Hongming Zhou China
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Citations per field
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Velidi H. Rao · 1×
Citations per year

Countries citing papers authored by Diego Arcelli

Since Specialization
Citations

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

Fields of papers citing papers by Diego Arcelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012214
2 2005136
3 2010125
4 2008120
5 2011111
6 200394
7 200687
8 200962
9 200954
10 200443
11 200434
12 200932
13 200630
14 200330
15 200729
16 201329
17 201027
18 200727
19 200425
20 201323

About Diego Arcelli

Diego Arcelli is a scholar working on Cancer Research, Oral Surgery, Obstetrics and Gynecology, Immunology and Molecular Biology, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (3 papers), Pregnancy and preeclampsia studies (3 papers), Cutaneous lymphoproliferative disorders research (3 papers), Molecular Biology Techniques and Applications (3 papers), Bone Tissue Engineering Materials (3 papers), Dental Implant Techniques and Outcomes (3 papers), MicroRNA in disease regulation (2 papers) and NF-κB Signaling Pathways (2 papers). The work is most often cited by research in Cancer Research (335 citations), Dermatology (194 citations), Oral Surgery (96 citations), Immunology (236 citations) and Obstetrics and Gynecology (71 citations). Diego Arcelli has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Stefano Volinia, Maurizio Colognesi Capogrossi, Francesca Francioso, Fabio Martelli, Simona Greco, Furio Pezzetti, Adriano Piattelli, Pasquale Fasanaro, Giandomenico Russo and Monica Napolitano. Their work appears in journals such as Prenatal Diagnosis, Physiological Genomics, Ultrasound in Obstetrics and Gynecology, The FASEB Journal and Clinical & Experimental Immunology.

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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