Katia Codeluppi

497 citations
11 papers · 225 · h-index 7

Impact in

  • Hematology top 10%
    • Multiple Myeloma Research and Treatments
    • Mesenchymal stem cell research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Chemokine receptors and signaling 4
    • Bone health and treatments 2
    • Osteoarthritis Treatment and Mechanisms 3

Katia Codeluppi

10 papers receiving 223 citations

Peers

Katia Codeluppi
Comparison fields: 5 of 44
  • Hematology 90
  • Genetics 51
  • Oncology 112
  • Rheumatology 48
  • Immunology and Allergy 17
Replace Shen Y. Heazlewood with:
Shen Y. Heazlewood Australia
E. de Angelis Italy
Claire Dunois-Lardé France
Isabel Moreno–Miralles United States
Parimala Sonika Godavarthy Germany
Simon Renders Germany
Shashank Jain United States
Maria De Grandis France
Vitina Grieco Italy
Hu Zhou China
Katia Codeluppi relative to Shen Y. Heazlewood Australia Shen Y. Heazlewood's profile →
Citations per field
00.5×2.8×
Shen Y. Heazlewood · 1×
Citations per year

Countries citing papers authored by Katia Codeluppi

Since Specialization
Citations

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

Fields of papers citing papers by Katia Codeluppi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 200956
2 200854
3 200828
4 200924
5 201519
6 200918
7 200815
8 20074
9 20194
10 20073
11 20180

About Katia Codeluppi

Katia Codeluppi is a scholar working on Oncology, Rheumatology, Molecular Biology, Hematology and Pediatrics, Perinatology and Child Health, having authored 11 papers that have together received 225 indexed citations. Recurring topics across this work include Chemokine receptors and signaling (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers), Bone health and treatments (2 papers), Cell Adhesion Molecules Research (2 papers), Palliative Care and End-of-Life Issues (2 papers), Childhood Cancer Survivors' Quality of Life (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Kruppel-like factors research (1 paper). The work is most often cited by research in Hematology (90 citations), Genetics (51 citations), Oncology (112 citations), Rheumatology (48 citations) and Immunology and Allergy (17 citations). Katia Codeluppi has collaborated with scholars based in Italy and Austria. Frequent co-authors include Gina Lisignoli, Cristina Manferdini, Andrea Facchini, A. Piacentini, Nicola Giuliani, Vittorio Rizzoli, Francesco Grassi, Simona Colla, Paola Storti and Cristina Mancini. Their work appears in journals such as Journal of Cellular Physiology, Journal of Biomedical Materials Research Part A, Cancer Research, Tissue Engineering and European Journal Of Haematology.

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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