Ivan Bonanni

1.9k citations
4 papers · 1.5k · 1 hit paper · h-index 3

Impact in

Papers in

    • Mesenchymal stem cell research 3
    • MicroRNA in disease regulation 2
    • Cancer-related molecular mechanisms research 1

Ivan Bonanni

4 papers receiving 1.5k citations

Ivan Bonanni's Hit Papers

Mesenchymal stem cells ameliorate experimental autoimmune encephalomyelitis inducing T-cell anergy 2005 · 1.1k citations
1.1k0+7+14Years since publication2505007501000

Peers

Ivan Bonanni
Comparison fields: 5 of 68
  • Genetics 1.2k
  • Developmental Neuroscience 324
  • Rehabilitation 98
  • Cancer Research 203
  • Immunology 244
Replace Ezio Gerdoni with:
Ezio Gerdoni Italy
Emanuela Zappia Italy
Ibrahim Kassis Israel
Simona Casazza Italy
Yoon Sun Yang South Korea
Patrizia Bossolasco Italy
Philippe Tropel France
Dina Gaupp United States
Seong Muk Kim South Korea
Daniel J. Kota United States
Ivan Bonanni relative to Ezio Gerdoni Italy Ezio Gerdoni's profile →
Citations per field
00.5×1.5×
Ezio Gerdoni · 1×
Citations per year

Countries citing papers authored by Ivan Bonanni

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Bonanni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Ivan Bonanni, 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 Ivan Bonanni Line = papers co-authored together Ivan Bonanni links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
Mesenchymal stem cells ameliorate experimental autoimmune encephalomyelitis inducing T-cell anergy
Hit paper breakdown →
20051128
2 2007376
3 201119
4
Protein S deficiency. Description of a case associated with chronic inflammatory bowel disease.
20021

About Ivan Bonanni

Ivan Bonanni is a scholar working on Genetics, Cancer Research, Molecular Biology, Cellular and Molecular Neuroscience and Hematology, having authored 4 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (3 papers), MicroRNA in disease regulation (2 papers), Nerve injury and regeneration (1 paper), Cancer-related molecular mechanisms research (1 paper), Blood Coagulation and Thrombosis Mechanisms (1 paper), RNA Interference and Gene Delivery (1 paper) and Bone and Joint Diseases (1 paper). The work is most often cited by research in Genetics (1.2k citations), Developmental Neuroscience (324 citations), Rehabilitation (98 citations), Cancer Research (203 citations) and Immunology (244 citations). Ivan Bonanni has collaborated with scholars based in Italy and United States. Frequent co-authors include Gianluigi Mancardi, Antonio Uccelli, Simona Casazza, Francesco Frassoni, Ezio Gerdoni, Enrico Pedemonte, Debora Giunti, Emanuela Zappia, Antonella Ceravolo and Federica Benvenuto. Their work appears in journals such as Current Stem Cell Research & Therapy, Annals of Neurology, Blood and PubMed.

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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