Floriane Montanari

2.1k citations
26 papers · 1.2k indexed · 1 hit paper · h-index 17
Topics
Computational Drug Discovery Methods (19 papers)Drug Transport and Resistance Mechanisms (7 papers)Machine Learning in Materials Science (5 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEAdvanced Drug Delivery Reviews
Partner nations
AustriaGermanyItaly

In The Last Decade

Floriane Montanari

26 papers receiving 1.2k citations

Hit Papers

Learning continuous and data-driven molecular descriptors...20182026202020232018100200300

Peers

Floriane Montanari
Comparison fields: 5 of 119
  • Computational Theory and Mathematics 801
  • Molecular Biology 587
  • Materials Chemistry 458
  • Oncology 166
  • Pharmacology 135
Replace Youjun Xu with:
Youjun Xu China
Zhaoping Xiong China
Jérémy Besnard United Kingdom
Elena Cibrián–Uhalte Germany
Hongmao Sun United States
Feisheng Zhong China
Ines Smit United Kingdom
George Nicola United States
G. Richard Bickerton United Kingdom
Vinícius Gonçalves Maltarollo Brazil
Floriane Montanari relative to Youjun Xu China Youjun Xu's profile →
Citations per field
00.5×3.5×
Youjun Xu · 1×
Citations per year

Countries citing papers authored by Floriane Montanari

Since Specialization
Citations

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

Fields of papers citing papers by Floriane Montanari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Floriane Montanari

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 4
4 16
5 18
6 8
7 38
8 119
9 21
10 156
11 70
12
Learning continuous and data-driven molecular descriptors by translating equivalent chemical representationsbreakdown →
326
13 56
14 24
15 26
16 10
17 194
18 23
19 16
20 11

About Floriane Montanari

Floriane Montanari is a scholar working on Computational Theory and Mathematics, Pharmacology and Oncology, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (19 papers), Drug Transport and Resistance Mechanisms (7 papers) and Machine Learning in Materials Science (5 papers). The work is most often cited by research in Computational Theory and Mathematics (801 citations), Pharmacology (135 citations) and Materials Chemistry (458 citations). Floriane Montanari has collaborated with scholars based in Austria, Germany and Italy. Frequent co-authors include Gerhard F. Ecker, Djork-Arné Clevert, Robin Winter, Frank Noé, Antonius ter Laak, Lara Kuhnke, Hans Briem, Andreas Steffen, Andreas H. Göller and Mario Lobell. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Advanced Drug Delivery Reviews.

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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