Sara Mosca

1.5k total citations
47 papers, 943 citations indexed

About

Sara Mosca is a scholar working on Biophysics, Archeology and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Sara Mosca has authored 47 papers receiving a total of 943 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biophysics, 14 papers in Archeology and 14 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Sara Mosca's work include Spectroscopy Techniques in Biomedical and Chemical Research (19 papers), Cultural Heritage Materials Analysis (14 papers) and Spectroscopy and Chemometric Analyses (12 papers). Sara Mosca is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (19 papers), Cultural Heritage Materials Analysis (14 papers) and Spectroscopy and Chemometric Analyses (12 papers). Sara Mosca collaborates with scholars based in United Kingdom, Italy and United States. Sara Mosca's co-authors include Pavel Matousek, Nicholas Stone, Francesca Palombo, Priyanka Dey, Marzieh Salimi, Tanveer A. Tabish, Gianluca Valentini, Daniela Comelli, Claudia Conti and Austin Nevin and has published in prestigious journals such as Angewandte Chemie International Edition, ACS Nano and Analytical Chemistry.

In The Last Decade

Sara Mosca

43 papers receiving 931 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sara Mosca United Kingdom 18 381 306 205 187 182 47 943
Lucio Litti Italy 19 566 1.5× 114 0.4× 353 1.7× 544 2.9× 24 0.1× 50 1.1k
Hauke Kloust Germany 17 290 0.8× 7 0.0× 418 2.0× 112 0.6× 22 0.1× 24 836
Radu Fechete Romania 17 99 0.3× 26 0.1× 99 0.5× 32 0.2× 11 0.1× 87 869
Diaa Atta Egypt 17 108 0.3× 28 0.1× 262 1.3× 34 0.2× 22 0.1× 39 596
Agampodi S. De Silva Indrasekara United States 14 484 1.3× 97 0.3× 356 1.7× 664 3.6× 8 0.0× 17 995
Jonathan Romero Spain 14 160 0.4× 18 0.1× 381 1.9× 210 1.1× 19 0.1× 42 624
Mathieu L. Viger United States 14 314 0.8× 12 0.0× 372 1.8× 107 0.6× 9 0.0× 16 696
Olga Bibikova Russia 16 401 1.1× 90 0.3× 205 1.0× 272 1.5× 50 702
F. Pelegrini Brazil 20 433 1.1× 29 0.1× 429 2.1× 289 1.5× 4 0.0× 77 1.2k
Zhixuan Lu China 8 394 1.0× 159 0.5× 262 1.3× 501 2.7× 2 0.0× 19 960

Countries citing papers authored by Sara Mosca

Since Specialization
Citations

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

Fields of papers citing papers by Sara Mosca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Mosca

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Mosca. A scholar is included among the top collaborators of Sara Mosca 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 Sara Mosca. Sara Mosca 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
3.
Lux, A., Claudia Conti, Alessandra Botteon, Sara Mosca, & Pavel Matousek. (2025). Shifted-excitation Raman difference spectroscopy and charge-shifting detection coupled with spatially offset Raman spectroscopy for heritage science. The Analyst. 150(6). 1140–1150. 1 indexed citations
4.
Banerjee, Sube, Sara Mosca, Bevin Gangadharan, et al.. (2025). Handheld Spatially Offset Raman Spectroscopy for rapid non-invasive detection of ethylene glycol and diethylene glycol in medicinal syrups. Journal of Pharmaceutical and Biomedical Analysis. 265. 117031–117031.
5.
Salimi, Marzieh, Sara Mosca, Benjamin Gardner, et al.. (2025). Plasmonic Nanoparticles for Photothermal Therapy: Benchmarking of Photothermal Properties and Modeling of Heating at Depth in Human Tissues. The Journal of Physical Chemistry C. 129(3). 1864–1872. 7 indexed citations
7.
Bharucha, Tehmina, Bevin Gangadharan, Laura Gomez Fernandez, et al.. (2024). Using matrix assisted laser desorption ionisation mass spectrometry combined with machine learning for vaccine authenticity screening. npj Vaccines. 9(1). 155–155.
8.
Bharucha, Tehmina, Bevin Gangadharan, Laura Gomez Fernandez, et al.. (2024). Repurposing rapid diagnostic tests to detect falsified vaccines in supply chains. Vaccine. 42(7). 1506–1511. 2 indexed citations
10.
Mosca, Sara, Celia Castillo‐Blas, Florencia A. Son, et al.. (2023). Survival of Zirconium-Based Metal–Organic Framework Crystallinity at Extreme Pressures. Inorganic Chemistry. 62(26). 10092–10099. 30 indexed citations
11.
Mosca, Sara, Kay Sowoidnich, Benjamin Gardner, et al.. (2023). 10 kHz Shifted-Excitation Raman Difference Spectroscopy with Charge-Shifting Charge-Coupled Device Read-Out for Effective Mitigation of Dynamic Interfering Backgrounds. Applied Spectroscopy. 77(6). 569–582. 6 indexed citations
12.
Salimi, Marzieh, Sara Mosca, Benjamin Gardner, et al.. (2022). Nanoparticle-Mediated Photothermal Therapy Limitation in Clinical Applications Regarding Pain Management. Nanomaterials. 12(6). 922–922. 54 indexed citations
13.
Dey, Priyanka, Sara Mosca, Marzieh Salimi, et al.. (2022). Surface enhanced deep Raman detection of cancer tumour through 71 mm of heterogeneous tissue. Nanotheranostics. 6(3). 337–349. 23 indexed citations
14.
Mosca, Sara, Pranav Lanka, Nicholas Stone, et al.. (2020). Optical characterization of porcine tissues from various organs in the 650–1100 nm range using time-domain diffuse spectroscopy. Biomedical Optics Express. 11(3). 1697–1697. 41 indexed citations
15.
Dey, Priyanka, Tanveer A. Tabish, Sara Mosca, et al.. (2020). Plasmonic Nanoassemblies: Tentacles Beat Satellites for Boosting Broadband NIR Plasmon Coupling Providing a Novel Candidate for SERS and Photothermal Therapy. Small. 16(10). e1906780–e1906780. 43 indexed citations
16.
Mosca, Sara, Priyanka Dey, Marzieh Salimi, et al.. (2020). Non-invasive depth determination of inclusion in biological tissues using spatially offset Raman spectroscopy with external calibration. The Analyst. 145(23). 7623–7629. 16 indexed citations
17.
Nevin, Austin, Luca Nodari, Daniela Comelli, et al.. (2019). In-situ technical study of modern paintings part 1: The evolution of artistic materials and painting techniques in ten paintings from 1889 to 1940 by Alessandro Milesi (1856–1945). Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 219. 530–538. 13 indexed citations
18.
Mosca, Sara, Javier Martí‐Rujas, Luca Nardo, et al.. (2018). Time-Resolved Photoluminescence Microscopy Combined with X-ray Analyses and Raman Spectroscopy Sheds Light on the Imperfect Synthesis of Historical Cadmium Pigments. Analytical Chemistry. 90(18). 10771–10779. 18 indexed citations
19.
Mosca, Sara, Alberto Milani, Miriam Peña‐Álvarez, et al.. (2018). Mechanochromic Luminescent Tetrathiazolylthiophenes: Evaluating the Role of Intermolecular Interactions through Pressure and Temperature-Dependent Raman Spectroscopy. The Journal of Physical Chemistry C. 122(30). 17537–17543. 8 indexed citations
20.
Sekar, Sanathana Konugolu Venkata, Sara Mosca, Andrea Farina, et al.. (2017). Frequency offset Raman spectroscopy (FORS) for depth probing of diffusive media. Optics Express. 25(5). 4585–4585. 24 indexed citations

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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