Diana Campioni

1.6k citations
51 papers · 1.3k indexed · h-index 23
  • Genetics top 2%
    • Virus-based gene therapy research 8
    • Mesenchymal stem cell research 7
  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation 10
    • Acute Myeloid Leukemia Research 7
    • Multiple Myeloma Research and Treatments 5
  • Virology top 10%
  • Oncology top 10%
    • Polyomavirus and related diseases 5
  • Immunology top 10%
    • Reproductive System and Pregnancy 6
    • Immunotherapy and Immune Responses 5

Diana Campioni

51 papers receiving 1.2k citations

Peers

Diana Campioni
Comparison fields: 5 of 83
  • Genetics 398
  • Hematology 358
  • Virology 68
  • Oncology 385
  • Immunology 281
Replace J.W. Gratama with:
J.W. Gratama Netherlands
M Stockschläder Germany
Shuro Yoshida Japan
Ali Dalloul France
Brigitte Rüster Germany
Amparo Sempere Spain
Thomas Eiermann Germany
C Clavel France
Tessa Kerre Belgium
Rogers C. Griffith United States
Diana Campioni relative to J.W. Gratama Netherlands J.W. Gratama's profile →
Citations per field
00.5×1.5×1.8×
J.W. Gratama · 1×
Citations per year

Countries citing papers authored by Diana Campioni

Since Specialization
Citations

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

Fields of papers citing papers by Diana Campioni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201823
2 201515
3 20143
4 201210
5 201111
6 20098
7 200834
8 200823
9 200738
10 200524
11 200476
12 200314
13 200322
14 200316
15 200012
16 200013
17 19994
18 199835
19 19978
20 199555

About Diana Campioni

Diana Campioni is a scholar working on Hematology, Genetics and Immunology, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (10 papers), Virus-based gene therapy research (8 papers), Acute Myeloid Leukemia Research (7 papers), Mesenchymal stem cell research (7 papers), Reproductive System and Pregnancy (6 papers), Multiple Myeloma Research and Treatments (5 papers), Polyomavirus and related diseases (5 papers) and Immunotherapy and Immune Responses (5 papers). The work is most often cited by research in Genetics (398 citations), Hematology (358 citations) and Virology (68 citations). Diana Campioni has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Francesco Lanza, Giorgio Zauli, Antonio Cuneo, Sabrina Moretti, Paola Secchiero, Luisa Ferrari, E. Melloni, Alfredo Corallini, Roberta Rizzo and Giuseppe Barbanti‐Brodano. Their work appears in journals such as Cytotherapy, Cytometry Part B Clinical Cytometry, British Journal of Haematology, Leukemia and Haematologica.

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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