F Paolucci

1.4k citations
27 papers · 1.1k indexed · h-index 17

Impact in

Papers in

F Paolucci

27 papers receiving 980 citations

Peers

F Paolucci
Comparison fields: 5 of 89
  • Internal Medicine 134
  • Biotechnology 222
  • Immunology and Allergy 109
  • Immunology 361
  • Cancer Research 224
Replace Susan H. Tam with:
Susan H. Tam United States
F.J. Castellino United States
Eliezer Gorelik United States
Maurice C. Owen New Zealand
Martine J. van Vugt Netherlands
Peder Lisby Nørby Denmark
Zohar Mishal France
Lacramioara Ivanciu United States
Sabine Schirm United States
Olli Lohi Finland
F Paolucci relative to Susan H. Tam United States Susan H. Tam's profile →
Citations per field
00.5×3.8×
Susan H. Tam · 1×
Citations per year

Countries citing papers authored by F Paolucci

Since Specialization
Citations

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

Fields of papers citing papers by F Paolucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200219
2 200253
3 200266
4 199925
5 19942
6 19947
7 199220
8 199117
9 199114
10 199017
11 198911
12 198928
13 198917
14
Monoclonal antibodies : a tool for molluscan pathology
19888
15 19885
16
Immunoenzymatic assay of Mr 52,000 cathepsin D in 182 breast cancer cytosols: low correlation with other prognostic parameters.
198864
17 198737
18 19872
19 1982136
20 1981192

About F Paolucci

F Paolucci is a scholar working on Internal Medicine, Immunology, Hematology, Biotechnology and Parasitology, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (6 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Venous Thromboembolism Diagnosis and Management (4 papers), Marine Bivalve and Aquaculture Studies (3 papers), Aquaculture disease management and microbiota (3 papers), Glycosylation and Glycoproteins Research (3 papers) and Molecular Biology Techniques and Applications (3 papers). The work is most often cited by research in Internal Medicine (134 citations), Biotechnology (222 citations), Immunology and Allergy (109 citations), Immunology (361 citations) and Cancer Research (224 citations). F Paolucci has collaborated with scholars based in France, United States and Denmark. Frequent co-authors include Bernard Pau, Pierre Casellas, F. K. Jansen, Pierre Gros, Hubert Vidal, H. Blythman, Gilles Freiss, Olivier Gros, Marcel Garcia and Henri Rochefort. Their work appears in journals such as Clinical Chemistry, Diseases of Aquatic Organisms, Clinical Pharmacokinetics, Endocrinology and Advances in experimental medicine and biology.

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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