Federica Novelli

973 total citations
45 papers, 862 citations indexed

About

Federica Novelli is a scholar working on Organic Chemistry, Molecular Biology and Biomaterials. According to data from OpenAlex, Federica Novelli has authored 45 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Organic Chemistry, 23 papers in Molecular Biology and 13 papers in Biomaterials. Recurrent topics in Federica Novelli's work include Supramolecular Self-Assembly in Materials (13 papers), Chemical Synthesis and Analysis (8 papers) and Polydiacetylene-based materials and applications (7 papers). Federica Novelli is often cited by papers focused on Supramolecular Self-Assembly in Materials (13 papers), Chemical Synthesis and Analysis (8 papers) and Polydiacetylene-based materials and applications (7 papers). Federica Novelli collaborates with scholars based in Italy and Spain. Federica Novelli's co-authors include Fabio Sparatore, Anna Sparatore, Bruno Tasso, Michele Tonelli, Vito Boido, Claudia Juliano, Angela Alama, Cristina Bruzzo, Federica Barbieri and Paolo La Colla and has published in prestigious journals such as Angewandte Chemie International Edition, Langmuir and ACS Applied Materials & Interfaces.

In The Last Decade

Federica Novelli

44 papers receiving 843 citations

Peers

Federica Novelli
Comparison fields: 5 of 94
  • Organic Chemistry 512
  • Molecular Biology 283
  • Oncology 132
  • Pharmacology 121
  • Computational Theory and Mathematics 85
Replace Maria Cristina Cardia with:
Maria Cristina Cardia Italy
Jubie Selvaraj India
Sunil Kamboj India
Jean‐Luc Stigliani France
Satyendra Mishra India
Kasiram Katneni Australia
Roberto Parise‐Filho Brazil
Garima Verma India
Krystyna Dzierzbicka Poland
Rajeev Kharb India
Maria Cristina Cardia Italy View profile →
Citations per field, relative to Federica Novelli
Federica Novelli · 1×
Citations per year, relative to Federica Novelli
Federica Novelli · 1×

Countries citing papers authored by Federica Novelli

Since Specialization
Citations

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

Fields of papers citing papers by Federica Novelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federica Novelli

This figure shows the co-authorship network connecting the top 25 collaborators of Federica Novelli. A scholar is included among the top collaborators of Federica Novelli 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 Federica Novelli. Federica Novelli 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
# Work Indexed citations
1 1
2 9
3 27
4 11
5 12
6 22
7 45
8 23
9 77
10 9
11 59
12 29
13 16
14 51
15
Quinolizidine derivatives as ligands for sigma receptors
1
16 14
17 41
18 77
19 35
20
Quinolizidine derivatives with antitubercular activity.
7

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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