Katia Perruccio

14.3k citations
81 papers · 9.0k indexed · 5 hit papers · h-index 32
Topics
Antifungal resistance and susceptibility (27 papers)T-cell and B-cell Immunology (24 papers)Hematopoietic Stem Cell Transplantation (23 papers)
Partner nations
ItalyUnited StatesFrance

In The Last Decade

Katia Perruccio

76 papers receiving 8.9k citations

Hit Papers

Effectiveness of Donor Natural Killer Cell Alloreactivity...19982026200720162002199819992009200550010001.5k2.0k2.5k

Peers

Katia Perruccio
Comparison fields: 5 of 126
  • Immunology 5.8k
  • Hematology 3.9k
  • Oncology 2.3k
  • Epidemiology 1.7k
  • Infectious Diseases 1.7k
Replace Alf Hamann with:
Alf Hamann Germany
Kenneth H. Grabstein United States
Geoffrey R. Hill Australia
Maureen P. Martin United States
Hans Acha‐Orbea Switzerland
Daniela Pende Italy
Brenna J. Hill United States
Wilhelm Schwaeble United Kingdom
Reinhard Seger Switzerland
Ian C. M. MacLennan United Kingdom
Katia Perruccio relative to Alf Hamann Germany Alf Hamann's profile →
Citations per field
00.5×4.4×
Alf Hamann · 1×
Citations per year

Countries citing papers authored by Katia Perruccio

Since Specialization
Citations

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

Fields of papers citing papers by Katia Perruccio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katia Perruccio

This figure shows the co-authorship network connecting the top 25 collaborators of Katia Perruccio. A scholar is included among the top collaborators of Katia Perruccio based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Katia Perruccio. Katia Perruccio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 1
5 19
6 11
7 0
8 12
9
SARS-CoV-2 Infection in an Adolescent after Haploidentical Stem Cell Transplantation
1
10 30
11 13
12 220
13 57
14 112
15 21
16 6
17 456
18 19
19 186
20 30

About Katia Perruccio

Katia Perruccio is a scholar working on Hematology, Immunology and Biological Psychiatry, having authored 81 papers that have together received 9.0k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (27 papers), T-cell and B-cell Immunology (24 papers) and Hematopoietic Stem Cell Transplantation (23 papers). The work is most often cited by research in Hematology (3.9k citations), Immunology (5.8k citations) and Infectious Diseases (1.7k citations). Katia Perruccio has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Andrea Velardi, Maria Paola Martelli, Loredana Ruggeri, Franco Aversa, Marusca Capanni, Elena Urbani, Antonellá Tosti, Luigina Romani, Warren D. Shlomchik and Daniela Rogaia. Their work appears in journals such as Nature, Science and New England Journal of Medicine.

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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