Katia Sparnacci

2.8k citations
117 papers · 2.3k indexed · h-index 29

Impact in

Papers in

Katia Sparnacci

116 papers receiving 2.3k citations

Peers

Katia Sparnacci
Comparison fields: 5 of 104
  • Surfaces, Coatings and Films 408
  • Polymers and Plastics 367
  • Materials Chemistry 941
  • Organic Chemistry 546
  • Biomaterials 222
Replace Soo‐Hyung Choi with:
Soo‐Hyung Choi South Korea
Stuart W. Prescott Australia
Shan Mei China
Michele Laus Italy
Hwankyu Lee South Korea
Jiang Zhao China
Youri Arntz France
Tom O. McDonald United Kingdom
Rong Hu China
Mingdi Yan United States
Katia Sparnacci relative to Soo‐Hyung Choi South Korea Soo‐Hyung Choi's profile →
Citations per field
00.5×1.5×2.0×
Soo‐Hyung Choi · 1×
Citations per year

Countries citing papers authored by Katia Sparnacci

Since Specialization
Citations

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

Fields of papers citing papers by Katia Sparnacci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20243
3 20237
4 202210
5 202013
6 20198
7 201914
8 201842
9 201816
10 20181
11 20165
12 201515
13 201521
14 200938
15 200732
16 20066
17 200435
18 200327
19 200220
20 200115

About Katia Sparnacci

Katia Sparnacci is a scholar working on Surfaces, Coatings and Films, Polymers and Plastics, Process Chemistry and Technology, Virology and Materials Chemistry, having authored 117 papers that have together received 2.3k indexed citations. Recurring topics across this work include Block Copolymer Self-Assembly (27 papers), Advanced Polymer Synthesis and Characterization (23 papers), RNA Interference and Gene Delivery (19 papers), Polymer Surface Interaction Studies (17 papers), Advanced biosensing and bioanalysis techniques (13 papers), Polymer Nanocomposites and Properties (12 papers), Polymer crystallization and properties (11 papers) and Tribology and Wear Analysis (8 papers). The work is most often cited by research in Surfaces, Coatings and Films (408 citations), Polymers and Plastics (367 citations), Materials Chemistry (941 citations), Organic Chemistry (546 citations) and Biomaterials (222 citations). Katia Sparnacci has collaborated with scholars based in Italy, France and Germany. Frequent co-authors include Michele Laus, Diego Antonioli, Valentina Gianotti, Michele Perego, Gabriele Seguini, Federico Ferrarese Lupi, Tommaso Jacopo Giammaria, Luca Boarino, Luisa Tondelli and Guido Panzarasa. Their work appears in journals such as ACS Applied Materials & Interfaces, Macromolecules, Vaccine, Nanotechnology and Journal of Biomaterials Science Polymer Edition.

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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