Edoardo Farnesi

449 total citations · 1 hit paper
12 papers, 261 citations indexed

About

Edoardo Farnesi is a scholar working on Biophysics, Molecular Biology and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Edoardo Farnesi has authored 12 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biophysics, 7 papers in Molecular Biology and 7 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Edoardo Farnesi's work include Spectroscopy Techniques in Biomedical and Chemical Research (8 papers), Gold and Silver Nanoparticles Synthesis and Applications (7 papers) and Biosensors and Analytical Detection (4 papers). Edoardo Farnesi is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (8 papers), Gold and Silver Nanoparticles Synthesis and Applications (7 papers) and Biosensors and Analytical Detection (4 papers). Edoardo Farnesi collaborates with scholars based in Germany, Italy and South Korea. Edoardo Farnesi's co-authors include Dana Cialla‐May, Jürgen Popp, Chen Liu, Alois Bonifacio, Alexey V. Markin, Natalia E. Markina, Stefano Fornasaro, Andrea Barucci, Cristiano D’Andrea and Paolo Matteini and has published in prestigious journals such as Chemical Society Reviews, Sensors and TrAC Trends in Analytical Chemistry.

In The Last Decade

Edoardo Farnesi

12 papers receiving 259 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Biomedical SERS – the current state and future trends

2024 90 citations Dana Cialla‐May, Alois Bonifacio et al. Chemical Society Reviews profile →

Peers

Edoardo Farnesi

EOMM

BE

MB

BIOPH

MC

Mohan Singh United Kingdom

Xinyuan Bi China

Simon W. Fogarty United Kingdom

Mike Hardy United Kingdom

Emily Xi Tan Singapore

Yong Xiang Leong Singapore

Kunxiang Liu China

Lam Bang Thanh Nguyen Singapore

Mirkó Palla United States

Mohan Singh United Kingdom

Edoardo Farnesi

66 ×0.5

EOMM

216 ×1.8

BE

104 ×1.0

MB

20 ×0.2

BIOPH

84 ×2.0

MC

Citations per year, relative to Edoardo Farnesi Edoardo Farnesi (= 1×) peers Mohan Singh

Countries citing papers authored by Edoardo Farnesi

Since Specialization

Citations

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

Fields of papers citing papers by Edoardo Farnesi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edoardo Farnesi

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

All Works

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12 of 12 papers shown

1.

Farnesi, Edoardo, Chen Liu, Orlando Guntinas‐Lichius, et al.. (2025). Point-of-care SERS-based ML diagnosis of head and neck cancer via cerumen analysis. 2(1). 3 indexed citations

2.

Cialla‐May, Dana, Alois Bonifacio, Thomas Bocklitz, et al.. (2024). Biomedical SERS – the current state and future trends. Chemical Society Reviews. 53(18). 8957–8979. 90 indexed citations breakdown →

3.

Farnesi, Edoardo, Chen Liu, Tobias Meyer‐Zedler, et al.. (2024). Advancing cerumen analysis: exploring innovative vibrational spectroscopy techniques with respect to their potential as new point-of-care diagnostic tools. The Analyst. 149(22). 5381–5393. 1 indexed citations

4.

Ryabchykov, Oleg, Chen Liu, Edoardo Farnesi, et al.. (2024). SERS-Driven Ceftriaxone Detection in Blood Plasma: A Protein Precipitation Approach. Chemosensors. 12(10). 213–213. 2 indexed citations

5.

Cialla‐May, Dana, Alois Bonifacio, Alexey V. Markin, et al.. (2024). Recent advances of surface enhanced Raman spectroscopy (SERS) in optical biosensing. TrAC Trends in Analytical Chemistry. 181. 117990–117990. 34 indexed citations

6.

Liu, Chen, Susanne Weber, Long Wu, et al.. (2024). SERS-based detection of the antibiotic ceftriaxone in spiked fresh plasma and microdialysate matrix by using silver-functionalized silicon nanowire substrates. Talanta. 271. 125697–125697. 13 indexed citations

7.

Issatayeva, Aizhan, Edoardo Farnesi, Dana Cialla‐May, et al.. (2023). SERS-based methods for the detection of genomic biomarkers of cancer. Talanta. 267. 125198–125198. 24 indexed citations

8.

D’Andrea, Cristiano, Federico Angelo Cazzaniga, Edoardo Bistaffa, et al.. (2023). Impact of seed amplification assay and surface-enhanced Raman spectroscopy combined approach on the clinical diagnosis of Alzheimer’s disease. Translational Neurodegeneration. 12(1). 35–35. 17 indexed citations

9.

Farnesi, Edoardo, Silvia Rinaldi, Chen Liu, et al.. (2023). Label-Free SERS and MD Analysis of Biomarkers for Rapid Point-of-Care Sensors Detecting Head and Neck Cancer and Infections. Sensors. 23(21). 8915–8915. 15 indexed citations

10.

Barucci, Andrea, Cristiano D’Andrea, Edoardo Farnesi, et al.. (2022). A Machine Learning approach to the classification of chemo-structural determinants in label-free SERS detection of proteins. Florence Research (University of Florence). 1–4. 2 indexed citations

11.

Farnesi, Edoardo, Andrea Barucci, Cristiano D’Andrea, et al.. (2021). Label-free SERS detection of proteins based on machine learning classification of chemostructural determinants. 14. JW1A.8–JW1A.8. 2 indexed citations

12.

Barucci, Andrea, Cristiano D’Andrea, Edoardo Farnesi, et al.. (2020). Label-free SERS detection of proteins based on machine learning classification of chemo-structural determinants. The Analyst. 146(2). 674–682. 58 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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