Katia Paciaroni
- Hematology top 1%
- Internal Medicine top 1%
- Genetics top 2%
- Cardiology and Cardiovascular Medicine top 10%
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- Giuseppe LeoneValerio De StefanoElena RossiIda MartinelliPier Mannuccio MannucciPatrizia ChiusoloIda CasorelliFrancesca Crosti
- Topics
- Hemoglobinopathies and Related Disorders (19 papers)Hematopoietic Stem Cell Transplantation (13 papers)Blood Coagulation and Thrombosis Mechanisms (12 papers)
- Cited by
- Internal MedicineHematologyGenetics
- Journals
- SHILAP Revista de lepidopterologíaBloodTransplantation
- Partner nations
- ItalyUnited StatesNigeria
In The Last Decade
Katia Paciaroni
38 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 68
- Hematology 924
- Internal Medicine 460
- Genetics 376
- Cardiology and Cardiovascular Medicine 263
- Pediatrics, Perinatology and Child Health 174
Countries citing papers authored by Katia Paciaroni
This map shows the geographic impact of Katia Paciaroni'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 Paciaroni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katia Paciaroni more than expected).
Fields of papers citing papers by Katia Paciaroni
This network shows the impact of papers produced by Katia Paciaroni. 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 Paciaroni. The network helps show where Katia Paciaroni may publish in the future.
Co-authorship network of co-authors of Katia Paciaroni
This figure shows the co-authorship network connecting the top 25 collaborators of Katia Paciaroni. A scholar is included among the top collaborators of Katia Paciaroni 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 Paciaroni. Katia Paciaroni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 43 | |
| 4 | 0 | |
| 5 | 35 | |
| 6 | 10 | |
| 7 | 28 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 33 | |
| 12 | 26 | |
| 13 | 35 | |
| 14 | 38 | |
| 15 | 61 | |
| 16 | 31 | |
| 17 | Screening for inherited thrombophilia: indications and therapeutic implications. | 130 |
| 18 | 64 | |
| 19 | 18 | |
| 20 | 29 |
About Katia Paciaroni
Katia Paciaroni is a scholar working on Hematology, Internal Medicine and Genetics, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (19 papers), Hematopoietic Stem Cell Transplantation (13 papers) and Blood Coagulation and Thrombosis Mechanisms (12 papers). The work is most often cited by research in Internal Medicine (460 citations), Hematology (924 citations) and Genetics (376 citations). Katia Paciaroni has collaborated with scholars based in Italy, United States and Nigeria. Frequent co-authors include Giuseppe Leone, Valerio De Stefano, Elena Rossi, Ida Martinelli, Pier Mannuccio Mannucci, Patrizia Chiusolo, Ida Casorelli, Francesca Crosti, Elena M. Faioni and Emanuela Taioli. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Transplantation.
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.