F Caracciolo

1.7k citations
71 papers · 1.4k · h-index 18

Impact in

Papers in

F Caracciolo

67 papers receiving 1.3k citations

Peers

F Caracciolo
Comparison fields: 5 of 67
  • Hepatology 377
  • Pathology and Forensic Medicine 385
  • Genetics 114
  • Hematology 149
  • Oncology 236
Replace Laura Infanti with:
Laura Infanti Switzerland
Wing‐Yan Au China
Béatrice Delmas-Marsalet France
Albert Grañena Spain
Phyllis I. Warkentin United States
Tatsuya Suzuki Japan
Sharon M. Passe United States
Alec S. Goldenberg United States
Colette Chapuis‐Cellier France
Driss Chaoui France
F Caracciolo relative to Laura Infanti Switzerland Laura Infanti's profile →
Citations per field
00.5×1.7×
Laura Infanti · 1×
Citations per year

Countries citing papers authored by F Caracciolo

Since Specialization
Citations

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

Fields of papers citing papers by F Caracciolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994379
2 2011111
3 199786
4 200668
5 200766
6 200448
7 201844
8 200338
9 199332
10 202030
11 199429
12 199627
13 200827
14 200324
15 201224
16 201324
17 200720
18
Low-dose ARA-C and 1(OH) D3 administration in acute non lymphoid leukemia: pilot study.
199218
19 200716
20 201316

About F Caracciolo

F Caracciolo is a scholar working on Hematology, Pathology and Forensic Medicine, Genetics, Oncology and Hepatology, having authored 71 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (20 papers), Acute Myeloid Leukemia Research (9 papers), Chronic Lymphocytic Leukemia Research (8 papers), Multiple Myeloma Research and Treatments (6 papers), Hepatitis C virus research (5 papers), Hematopoietic Stem Cell Transplantation (5 papers), Drug Transport and Resistance Mechanisms (5 papers) and Neutropenia and Cancer Infections (5 papers). The work is most often cited by research in Hepatology (377 citations), Pathology and Forensic Medicine (385 citations), Genetics (114 citations), Hematology (149 citations) and Oncology (236 citations). F Caracciolo has collaborated with scholars based in Italy, United States and Hungary. Frequent co-authors include Mario Petrini, Sara Galimberti, Anna Linda Zignego, Luca La Civita, Clodoveo Ferri, Giovanni Longombardo, Enrico Capochiani, Monica Monti, Alessandro Mazzoni and Francesco Antonio Greco. Their work appears in journals such as Bone Marrow Transplantation, Leukemia Research, British Journal of Haematology, Haematologica and Blood.

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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