Francesca Nardelli

43 total papers · 400 total citations
29 papers, 233 citations indexed

About

Francesca Nardelli is a scholar working on Nuclear and High Energy Physics, Polymers and Plastics and Inorganic Chemistry. According to data from OpenAlex, Francesca Nardelli has authored 29 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nuclear and High Energy Physics, 6 papers in Polymers and Plastics and 6 papers in Inorganic Chemistry. Recurrent topics in Francesca Nardelli's work include NMR spectroscopy and applications (8 papers), Metal-Organic Frameworks: Synthesis and Applications (5 papers) and Polymer Nanocomposites and Properties (4 papers). Francesca Nardelli is often cited by papers focused on NMR spectroscopy and applications (8 papers), Metal-Organic Frameworks: Synthesis and Applications (5 papers) and Polymer Nanocomposites and Properties (4 papers). Francesca Nardelli collaborates with scholars based in Italy, United Kingdom and United States. Francesca Nardelli's co-authors include Francesca Martini, Marco Geppi, Elisa Carignani, Lucia Calucci, Silvia Borsacchi, Luca Giannini, F. Pozzati, Giovanni Scambia, F. Leone and Tina Pasciuto and has published in prestigious journals such as The Journal of Physical Chemistry B, Macromolecules and Chemical Communications.

In The Last Decade

Francesca Nardelli

27 papers receiving 230 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Francesca Nardelli	70	44	42	37	32	29	233
Darlene K. Taylor	84 1.2×	19 0.4×	99 2.4×	11 0.3×	17 0.5×	27	311
C. Aguilera	22 0.3×	22 0.5×	45 1.1×	10 0.3×	102 3.2×	34	298
K. Mizutani	31 0.4×	115 2.6×	19 0.5×	29 0.8×	11 0.3×	20	320
Pengfei Zhang	44 0.6×	5 0.1×	83 2.0×	43 1.2×	14 0.4×	35	316
Christine Kim	12 0.2×	6 0.1×	83 2.0×	14 0.4×	24 0.8×	21	296
Massimo Chiaretti	8 0.1×	50 1.1×	134 3.2×	67 1.8×	15 0.5×	28	329
Yanfang Du	25 0.4×	3 0.1×	42 1.0×	21 0.6×	47 1.5×	26	322
Jiayue Huang	20 0.3×	17 0.4×	198 4.7×	30 0.8×	27 0.8×	20	324
Chih-Yao Chen	17 0.2×	33 0.8×	108 2.6×	15 0.4×	9 0.3×	16	290
Haixia Wu	6 0.1×	19 0.4×	49 1.2×	14 0.4×	81 2.5×	19	254

Countries citing papers authored by Francesca Nardelli

Since Specialization

Citations

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

Fields of papers citing papers by Francesca Nardelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Nardelli

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

All Works

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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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