Fabio Bottari

965 total citations · 1 hit paper
16 papers, 702 citations indexed

About

Fabio Bottari is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Electrochemistry. According to data from OpenAlex, Fabio Bottari has authored 16 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 6 papers in Electrical and Electronic Engineering and 6 papers in Electrochemistry. Recurrent topics in Fabio Bottari's work include Biosensors and Analytical Detection (6 papers), Electrochemical Analysis and Applications (6 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Fabio Bottari is often cited by papers focused on Biosensors and Analytical Detection (6 papers), Electrochemical Analysis and Applications (6 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Fabio Bottari collaborates with scholars based in Belgium, Italy and Netherlands. Fabio Bottari's co-authors include Karolien De Wael, Ligia Maria Moretto, Giulia Moro, Ronny Blust, Wim Vos, Julien Guiot, Roland Hustinx, Ralph T. H. Leijenaar, Akshayaa Vaidyanathan and Philippe Lambin and has published in prestigious journals such as Journal of the American Chemical Society, Sensors and Biosensors and Bioelectronics.

In The Last Decade

Fabio Bottari

16 papers receiving 688 citations

Hit Papers

A review in radiomics: Making personalized medicine a rea... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fabio Bottari Belgium 14 241 234 233 129 120 16 702
Jianrong Wu China 15 154 0.6× 136 0.6× 41 0.2× 37 0.3× 23 0.2× 34 638
Maryam Paknahad Iran 18 65 0.3× 98 0.4× 255 1.1× 199 1.5× 6 0.1× 70 939
María del Pilar Chantada‐Vázquez Spain 15 45 0.2× 248 1.1× 161 0.7× 35 0.3× 19 0.2× 34 662
Kai Wen China 15 39 0.2× 263 1.1× 79 0.3× 61 0.5× 18 0.1× 44 492
Marta Gawin Poland 17 22 0.1× 315 1.3× 58 0.2× 22 0.2× 140 1.2× 24 660
Agnieszka Adamczyk Poland 17 95 0.4× 203 0.9× 34 0.1× 7 0.1× 24 0.2× 72 798
Fenghai Liu China 15 40 0.2× 158 0.7× 46 0.2× 204 1.6× 39 0.3× 57 562
Qianqian Xiong China 13 437 1.8× 78 0.3× 61 0.3× 51 0.4× 7 0.1× 34 801
Veronika Dvořáková Czechia 14 28 0.1× 215 0.9× 82 0.4× 46 0.4× 31 0.3× 39 664

Countries citing papers authored by Fabio Bottari

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Bottari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Bottari

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

All Works

16 of 16 papers shown
1.
Cousin, François, Thomas Louis, Pierre Frères, et al.. (2025). Machine Learning Model Integrating CT Radiomics of the Lung to Predict Checkpoint Inhibitor Pneumonitis in Patients with Advanced Cancer. Technology in Cancer Research & Treatment. 24. 2244085892–2244085892. 1 indexed citations
2.
Cousin, François, Thomas Louis, Frank Aboubakar Nana, et al.. (2023). Radiomics and Delta-Radiomics Signatures to Predict Response and Survival in Patients with Non-Small-Cell Lung Cancer Treated with Immune Checkpoint Inhibitors. Cancers. 15(7). 1968–1968. 25 indexed citations
3.
Zerka, Fadila, Visara Urovi, Fabio Bottari, et al.. (2021). Privacy preserving distributed learning classifiers – Sequential learning with small sets of data. Computers in Biology and Medicine. 136. 104716–104716. 15 indexed citations
4.
Guiot, Julien, Akshayaa Vaidyanathan, Louis Deprez, et al.. (2021). A review in radiomics: Making personalized medicine a reality via routine imaging. Medicinal Research Reviews. 42(1). 426–440. 192 indexed citations breakdown →
5.
Frix, Anne-Noëlle, François Cousin, Turkey Refaee, et al.. (2021). Radiomics in Lung Diseases Imaging: State-of-the-Art for Clinicians. Journal of Personalized Medicine. 11(7). 602–602. 59 indexed citations
6.
Moro, Giulia, Fabio Bottari, Sonia Covaceuszach, et al.. (2020). Covalent immobilization of delipidated human serum albumin on poly(pyrrole-2-carboxylic) acid film for the impedimetric detection of perfluorooctanoic acid. Bioelectrochemistry. 134. 107540–107540. 19 indexed citations
7.
Bottari, Fabio, Elise Daems, Pieter Van Wielendaele, et al.. (2020). Do Aptamers Always Bind? The Need for a Multifaceted Analytical Approach When Demonstrating Binding Affinity between Aptamer and Low Molecular Weight Compounds. Journal of the American Chemical Society. 142(46). 19622–19630. 86 indexed citations
8.
Moro, Giulia, et al.. (2019). Disposable electrodes from waste materials and renewable sources for (bio)electroanalytical applications. Biosensors and Bioelectronics. 146. 111758–111758. 61 indexed citations
9.
Bottari, Fabio, Giulia Moro, Nick Sleegers, et al.. (2019). Electropolymerized o‐Phenylenediamine on Graphite Promoting the Electrochemical Detection of Nafcillin. Electroanalysis. 32(1). 135–141. 20 indexed citations
10.
Moro, Giulia, Fabio Bottari, Nick Sleegers, et al.. (2019). Conductive imprinted polymers for the direct electrochemical detection of β-lactam antibiotics: The case of cefquinome. Sensors and Actuators B Chemical. 297. 126786–126786. 44 indexed citations
11.
Moro, Giulia, Davide Cristofori, Fabio Bottari, et al.. (2019). Redesigning an Electrochemical MIP Sensor for PFOS: Practicalities and Pitfalls. Sensors. 19(20). 4433–4433. 27 indexed citations
12.
Bottari, Fabio, Ligia Maria Moretto, & Paolo Ugo. (2018). Impedimetric sensing of the immuno-enzymatic reaction of gliadin with a collagen-modified electrode. Electrochemistry Communications. 97. 51–55. 11 indexed citations
13.
Bottari, Fabio, Ronny Blust, & Karolien De Wael. (2018). Bio(inspired) strategies for the electro-sensing of β-lactam antibiotics. Current Opinion in Electrochemistry. 10. 136–142. 17 indexed citations
14.
Bottari, Fabio & Karolien De Wael. (2017). Electrodeposition of gold nanoparticles on boron doped diamond electrodes for the enhanced reduction of small organic molecules. Journal of Electroanalytical Chemistry. 801. 521–526. 18 indexed citations
15.
Pilehvar, Sanaz, Christine Reinemann, Fabio Bottari, et al.. (2016). A joint action of aptamers and gold nanoparticles chemically trapped on a glassy carbon support for the electrochemical sensing of ofloxacin. Sensors and Actuators B Chemical. 240. 1024–1035. 69 indexed citations
16.
Bottari, Fabio, Paolo Oliveri, & Paolo Ugo. (2013). Electrochemical immunosensor based on ensemble of nanoelectrodes for immunoglobulin IgY detection: Application to identify hen's egg yolk in tempera paintings. Biosensors and Bioelectronics. 52. 403–410. 38 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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