Angélo Paci

196 papers receiving 3.6k citations

Peers

Angélo Paci
Comparison fields: 5 of 142
  • Hematology 373
  • Oncology 723
  • Genetics 280
  • Cancer Research 321
  • Occupational Therapy 88
Replace Alan V. Boddy with:
Alan V. Boddy United Kingdom
Gareth J. Veal United Kingdom
Étienne Chatelut France
E. A. de Bruijn Belgium
Jan H. Beumer United States
Curt Peterson Sweden
Massimo Zucchetti Italy
Benoı̂t Blanchet France
Michael Lind United Kingdom
Michael Colvin United States
Angélo Paci relative to Alan V. Boddy United Kingdom Alan V. Boddy's profile →
Citations per field
00.5×1.5×1.9×
Alan V. Boddy · 1×
Citations per year

Countries citing papers authored by Angélo Paci

Since Specialization
Citations

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

Fields of papers citing papers by Angélo Paci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 201 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014248
2 2014221
3 2016115
4 2013109
5 201989
6 200888
7 201385
8 201477
9 200277
10 201376
11 198966
12 201266
13 202064
14 201064
15 200661
16 201260
17 201258
18 201957
19 201852
20 201251

About Angélo Paci

Angélo Paci is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Surgery and Pathology and Forensic Medicine, having authored 201 papers that have together received 3.7k indexed citations. Recurring topics across this work include Chemotherapy-induced organ toxicity mitigation (13 papers), Cancer, Hypoxia, and Metabolism (12 papers), Adrenal and Paraganglionic Tumors (11 papers), Cancer Treatment and Pharmacology (10 papers), Cancer therapeutics and mechanisms (9 papers), Chronic Myeloid Leukemia Treatments (8 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers) and HIV/AIDS drug development and treatment (7 papers). The work is most often cited by research in Hematology (373 citations), Oncology (723 citations), Genetics (280 citations), Cancer Research (321 citations) and Occupational Therapy (88 citations). Angélo Paci has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Gareth J. Veal, Étienne Chatelut, Jos H. Beijnen, A. Astier, Nicolas Widmer, Christophe Bardin, Dominique Levêque, Gilles Vassal, Alain Deroussent and Sophie Broutin. Their work appears in journals such as European Journal of Cancer, Journal of Pharmaceutical and Biomedical Analysis, Journal of Chromatography B, International Journal of Pharmaceutics and Journal of Clinical Oncology.

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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