Alessandra Sussulini

1.7k total citations
66 papers, 1.2k citations indexed

About

Alessandra Sussulini is a scholar working on Molecular Biology, Spectroscopy and Analytical Chemistry. According to data from OpenAlex, Alessandra Sussulini has authored 66 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 16 papers in Spectroscopy and 14 papers in Analytical Chemistry. Recurrent topics in Alessandra Sussulini's work include Metabolomics and Mass Spectrometry Studies (14 papers), Mass Spectrometry Techniques and Applications (13 papers) and Analytical chemistry methods development (11 papers). Alessandra Sussulini is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (14 papers), Mass Spectrometry Techniques and Applications (13 papers) and Analytical chemistry methods development (11 papers). Alessandra Sussulini collaborates with scholars based in Brazil, Germany and Portugal. Alessandra Sussulini's co-authors include Marco Aurélio Zezzi Arruda, Johanna Sabine Becker, Aline Klassen, Cláudio E. M. Banzato, Míriam Dupas Hubinger, Ljubica Tasić, Luís Fernando Tófoli, Marina Franco Maggi Tavares, J. Sabine Becker and Renata Santos Rabelo and has published in prestigious journals such as Analytical Chemistry, The Science of The Total Environment and Analytical Biochemistry.

In The Last Decade

Alessandra Sussulini

64 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alessandra Sussulini Brazil 21 432 215 206 190 158 66 1.2k
Therese Koal Germany 23 856 2.0× 62 0.3× 357 1.7× 179 0.9× 148 0.9× 34 1.9k
Ji Li China 23 418 1.0× 62 0.3× 97 0.5× 156 0.8× 99 0.6× 79 1.6k
Perrine Masson United Kingdom 11 1.4k 3.2× 95 0.4× 428 2.1× 89 0.5× 109 0.7× 15 2.1k
Beatriz Jiménez United Kingdom 25 1.2k 2.9× 81 0.4× 323 1.6× 100 0.5× 62 0.4× 63 2.0k
Chunxiu Hu China 33 1.9k 4.4× 132 0.6× 531 2.6× 85 0.4× 95 0.6× 101 3.2k
Diego García‐Gómez Spain 23 591 1.4× 117 0.5× 580 2.8× 189 1.0× 127 0.8× 57 1.5k
Matteo Stocchero Italy 27 860 2.0× 128 0.6× 130 0.6× 206 1.1× 417 2.6× 85 2.0k
Debin Wan United States 24 623 1.4× 117 0.5× 136 0.7× 46 0.2× 78 0.5× 56 1.4k
Erik Sjögren Sweden 27 395 0.9× 39 0.2× 342 1.7× 263 1.4× 44 0.3× 97 2.3k
Michel Prost France 25 408 0.9× 293 1.4× 87 0.4× 68 0.4× 265 1.7× 91 1.9k

Countries citing papers authored by Alessandra Sussulini

Since Specialization
Citations

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

Fields of papers citing papers by Alessandra Sussulini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandra Sussulini

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandra Sussulini. A scholar is included among the top collaborators of Alessandra Sussulini 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 Alessandra Sussulini. Alessandra Sussulini 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
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Palma‐Silva, Clarisse, et al.. (2023). Evaluation of Extraction Parameters for the Analysis of Lipid Classes in Plants. Journal of the Brazilian Chemical Society. 1 indexed citations
3.
Fiore, Marli Fátima, Ary T. Rezende-Filho, Alessandra Sussulini, et al.. (2023). Bioaccumulation and speciation of arsenic in plankton from tropical soda lakes along a salinity gradient. The Science of The Total Environment. 895. 165189–165189. 2 indexed citations
4.
Sussulini, Alessandra, et al.. (2023). An overview of metabolomic and proteomic profiling in bipolar disorder and its clinical value. Expert Review of Proteomics. 20(11). 267–280. 1 indexed citations
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Oliveira, Alexandre Leite Rodrigues de, et al.. (2023). Understanding ayahuasca effects in major depressive disorder treatment through in vitro metabolomics and bioinformatics. Analytical and Bioanalytical Chemistry. 415(18). 4367–4384. 7 indexed citations
7.
Oliveira, Danyllo, Paulo José Basso, Cristiane Naffah de Souza Breda, et al.. (2022). MS ‐Driven Metabolic Alterations Are Recapitulated in iPSC ‐Derived Astrocytes. Annals of Neurology. 91(5). 652–669. 10 indexed citations
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Sussulini, Alessandra, et al.. (2022). Metabolomics: A Powerful Tool to Understand the Schizophrenia Biology. Advances in experimental medicine and biology. 1400. 105–119. 1 indexed citations
10.
Klassen, Aline, Priscilla Bento Matos Cruz Derogis, Carlos Eduardo dos Santos Ferreira, et al.. (2021). Evaluation of two highly effective lipid-lowering therapies in subjects with acute myocardial infarction. Scientific Reports. 11(1). 9 indexed citations
11.
Costa, Jonas Henrique, Jaqueline Moraes Bazioli, Flavia C. G. Reis, et al.. (2021). Phytotoxic Tryptoquialanines Produced In Vivo by Penicillium digitatum Are Exported in Extracellular Vesicles. mBio. 12(1). 42 indexed citations
12.
Arruda, Marco Aurélio Zezzi, et al.. (2020). Association between trace elements in serum from bipolar disorder and schizophrenia patients considering treatment effects. Journal of Trace Elements in Medicine and Biology. 59. 126467–126467. 22 indexed citations
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Sussulini, Alessandra, et al.. (2020). Recent advances in LA-ICP-MS for biomedical applications. 8(3-4). 47–54. 4 indexed citations
15.
Sussulini, Alessandra & Rachel Ann Hauser‐Davis. (2018). Metallomics Applied to the Study of Neurodegenerative and Mental Diseases. Advances in experimental medicine and biology. 1055. 21–37. 10 indexed citations
16.
Sussulini, Alessandra. (2017). Metabolomics: From Fundamentals to Clinical Applications. Advances in experimental medicine and biology. 86 indexed citations
17.
Sussulini, Alessandra, et al.. (2015). Laser ablation ICP‐MS: Application in biomedical research. Mass Spectrometry Reviews. 36(1). 47–57. 110 indexed citations
18.
Sethi, Sumit, Mirian A.F. Hayashi, Alessandra Sussulini, Ljubica Tasić, & Elisa Brietzke. (2015). Analytical approaches for lipidomics and its potential applications in neuropsychiatric disorders. The World Journal of Biological Psychiatry. 18(7). 506–520. 35 indexed citations
19.
Sussulini, Alessandra, Edzard Wiener, Bei Wu, et al.. (2012). Quantitative imaging of the tissue contrast agent [Gd(DTPA)]2− in articular cartilage by laser ablation inductively coupled plasma mass spectrometry. Contrast Media & Molecular Imaging. 8(2). 204–209. 21 indexed citations
20.
Sussulini, Alessandra & Johanna Sabine Becker. (2011). Combination of PAGE and LA-ICP-MS as an analytical workflow in metallomics: state of the art, new quantification strategies, advantages and limitations. Metallomics. 3(12). 1271–1271. 48 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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