Rosa Di Bitondo

931 total citations
10 papers, 499 citations indexed

About

Rosa Di Bitondo is a scholar working on Immunology, Oncology and Hematology. According to data from OpenAlex, Rosa Di Bitondo has authored 10 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 3 papers in Oncology and 3 papers in Hematology. Recurrent topics in Rosa Di Bitondo's work include Chemokine receptors and signaling (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers) and Immune Response and Inflammation (2 papers). Rosa Di Bitondo is often cited by papers focused on Chemokine receptors and signaling (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers) and Immune Response and Inflammation (2 papers). Rosa Di Bitondo collaborates with scholars based in Italy, United Kingdom and Canada. Rosa Di Bitondo's co-authors include Riccardo Bertini, Cinzia Bizzarri, Francesco Colotta, Marcello Allegretti, Andria D’Orazio, Licia Iacoviello, Augusto Di Castelnuovo, Maria Benedetta Donati, Barbara Cavalieri and Francesco Burzotta and has published in prestigious journals such as Journal of Medicinal Chemistry, Human Molecular Genetics and Biochemical Pharmacology.

In The Last Decade

Rosa Di Bitondo

10 papers receiving 490 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rosa Di Bitondo Italy 9 162 126 121 107 59 10 499
Michael Hansbury United States 12 176 1.1× 396 3.1× 221 1.8× 37 0.3× 64 1.1× 18 860
Gengjie Yang United States 13 182 1.1× 291 2.3× 289 2.4× 82 0.8× 87 1.5× 21 814
Kevin Brady United Kingdom 13 160 1.0× 242 1.9× 71 0.6× 38 0.4× 17 0.3× 29 591
Danny Tam United States 14 77 0.5× 449 3.6× 144 1.2× 58 0.5× 119 2.0× 25 870
Charles Pally Switzerland 16 73 0.5× 300 2.4× 53 0.4× 51 0.5× 22 0.4× 26 688
Filip Roudnicky Switzerland 13 186 1.1× 388 3.1× 217 1.8× 35 0.3× 20 0.3× 29 720
Irene Filippi Italy 15 141 0.9× 252 2.0× 102 0.8× 52 0.5× 125 2.1× 29 618
Bernd Liedert Germany 14 155 1.0× 309 2.5× 359 3.0× 40 0.4× 13 0.2× 18 777
Wen-Qing Huang China 14 101 0.6× 353 2.8× 95 0.8× 22 0.2× 26 0.4× 39 673
Yuntao Wan United States 13 273 1.7× 257 2.0× 121 1.0× 19 0.2× 19 0.3× 19 697

Countries citing papers authored by Rosa Di Bitondo

Since Specialization
Citations

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

Fields of papers citing papers by Rosa Di Bitondo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rosa Di Bitondo. 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 Rosa Di Bitondo. The network helps show where Rosa Di Bitondo may publish in the future.

Co-authorship network of co-authors of Rosa Di Bitondo

This figure shows the co-authorship network connecting the top 25 collaborators of Rosa Di Bitondo. A scholar is included among the top collaborators of Rosa Di Bitondo 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 Rosa Di Bitondo. Rosa Di Bitondo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Cesta, Maria Candida, Alessio Moriconi, Andrea Aramini, et al.. (2009). Structure–Activity Relationship of novel phenylacetic CXCR1 inhibitors. Bioorganic & Medicinal Chemistry Letters. 19(15). 4026–4030. 6 indexed citations
2.
Villa, Pia, Barbara Cavalieri, Rosa Di Bitondo, et al.. (2007). The Interleukin-8 (IL-8/CXCL8) Receptor Inhibitor Reparixin Improves Neurological Deficits and Reduces Long-term Inflammation in Permanent and Transient Cerebral Ischemia in Rats. Molecular Medicine. 13(3-4). 125–133. 73 indexed citations
3.
Allegretti, Marcello, Alessio Moriconi, Andrea R. Beccari, et al.. (2005). Targeting C5a: Recent Advances in Drug Discovery. Current Medicinal Chemistry. 12(2). 217–236. 63 indexed citations
4.
Allegretti, Marcello, Riccardo Bertini, Maria Candida Cesta, et al.. (2005). 2-Arylpropionic CXC Chemokine Receptor 1 (CXCR1) Ligands as Novel Noncompetitive CXCL8 Inhibitors. Journal of Medicinal Chemistry. 48(13). 4312–4331. 112 indexed citations
5.
Bianchini, Andrea, Isabelle Gloaguen, Leda Biordi, et al.. (2004). Inhibition of interleukin-8 (CXCL8/IL-8) responses by repertaxin, a new inhibitor of the chemokine receptors CXCR1 and CXCR2. Biochemical Pharmacology. 69(3). 385–394. 90 indexed citations
6.
Bizzarri, Cinzia, Marcello Allegretti, Rosa Di Bitondo, et al.. (2003). Pharmacological Inhibition of Interleukin-8 (CXCL8) as a New Approach for the Prevention and Treatment of Several Human Diseases. 2(1). 67–79. 25 indexed citations
8.
Bitondo, Rosa Di, Cherie Cameron, Martina E. Daly, et al.. (2001). The −1185 A/G and −1051 G/A dimorphisms in the von Willebrand factor gene promoter and risk of myocardial infarction. British Journal of Haematology. 115(3). 701–706. 16 indexed citations
9.
Burzotta, Francesco, Augusto Di Castelnuovo, Concetta Amore, et al.. (1998). 4G/5G Promoter PAI-1 Gene Polymorphism Is Associated with Plasmatic PAI-1 Activity in Italians: A Model of Gene-Environment Interaction. Thrombosis and Haemostasis. 79(2). 354–358. 74 indexed citations
10.
Dell’Acqua, Giorgio, Licia Iacoviello, Andria D’Orazio, et al.. (1997). A Polymorphic Cluster in the 5′ Region of the Human Coagulation Factor VII Gene: Detection, Frequency, and Linkage Disequilibrium. Thrombosis Research. 88(5). 445–448. 19 indexed citations

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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