Arnaud Bianchi

72 papers receiving 2.3k citations

Arnaud Bianchi's Hit Papers

Functionalized liposomes for targeted breast cancer drug delivery 2023 · 139 citations
1390+1+2Years since publication4080120

Peers

Arnaud Bianchi
Comparison fields: 5 of 121
  • Rheumatology 521
  • Pharmacology 304
  • Cancer Research 240
  • Molecular Biology 1.2k
  • Biomaterials 230
Replace Tony F. Cruz with:
Tony F. Cruz Canada
E. Montell Spain
Hiromi Hagiwara Japan
Soyeon Lim South Korea
Sheng Chen China
M. J. O. Francis United Kingdom
Don‐Kyu Kim South Korea
D Mitrović France
Ying Jin China
Shan Wang China
Arnaud Bianchi relative to Tony F. Cruz Canada Tony F. Cruz's profile →
Citations per field
00.5×9.2×
Tony F. Cruz · 1×
Citations per year

Countries citing papers authored by Arnaud Bianchi

Since Specialization
Citations

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

Fields of papers citing papers by Arnaud Bianchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001171
2
Functionalized liposomes for targeted breast cancer drug delivery
Hit paper breakdown →
2023139
3 2003137
4 2001133
5 2010126
6 2000118
7 200187
8 200279
9 200076
10 201474
11 200064
12 200155
13 200054
14 200854
15 200553
16 200053
17 201349
18 201647
19 200842
20 200440

About Arnaud Bianchi

Arnaud Bianchi is a scholar working on Molecular Biology, Rheumatology, Cancer Research, Pharmacology and Nephrology, having authored 75 papers that have together received 2.4k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (21 papers), Osteoarthritis Treatment and Mechanisms (15 papers), Inflammatory mediators and NSAID effects (10 papers), NF-κB Signaling Pathways (9 papers), Adipose Tissue and Metabolism (8 papers), Alkaline Phosphatase Research Studies (5 papers), Parathyroid Disorders and Treatments (5 papers) and Gout, Hyperuricemia, Uric Acid (4 papers). The work is most often cited by research in Rheumatology (521 citations), Pharmacology (304 citations), Cancer Research (240 citations), Molecular Biology (1.2k citations) and Biomaterials (230 citations). Arnaud Bianchi has collaborated with scholars based in France, Morocco and Switzerland. Frequent co-authors include Michel Dauça, Patrick Netter, Karim Bordji, Philippe Bécuwe, Bernard Terlain, Jean‐Yves Jouzeau, Bertrand Liagre, Cécile Corbière, Sylvie Sébillaud and David Moulin. Their work appears in journals such as Arthritis Research & Therapy, Osteoarthritis and Cartilage, FEBS Letters, Free Radical Biology and Medicine and International Journal of Molecular Sciences.

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.

Explore authors with similar magnitude of impact