Michele Sanguanini

553 total citations
6 papers, 236 citations indexed

About

Michele Sanguanini is a scholar working on Molecular Biology, Physiology and Biochemistry. According to data from OpenAlex, Michele Sanguanini has authored 6 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Biochemistry. Recurrent topics in Michele Sanguanini's work include Lipid Membrane Structure and Behavior (3 papers), Alzheimer's disease research and treatments (3 papers) and Amino Acid Enzymes and Metabolism (2 papers). Michele Sanguanini is often cited by papers focused on Lipid Membrane Structure and Behavior (3 papers), Alzheimer's disease research and treatments (3 papers) and Amino Acid Enzymes and Metabolism (2 papers). Michele Sanguanini collaborates with scholars based in United Kingdom, Sweden and Italy. Michele Sanguanini's co-authors include Tuomas P. J. Knowles, Michele Vendruscolo, Johnny Habchi, Sean Chia, Sara Linse, Janet R. Kumita, Christopher M. Dobson, Mathias M. J. Bellaiche, Francesco Simone Ruggeri and Céline Galvagnion and has published in prestigious journals such as Nature Chemistry, ACS Chemical Neuroscience and Royal Society Open Science.

In The Last Decade

Michele Sanguanini

6 papers receiving 234 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michele Sanguanini United Kingdom	5	157	154	57	23	21	6	236
Sahar Bedrood United States	8	188 1.2×	150 1.0×	39 0.7×	35 1.5×	19 0.9×	9	364
Pascal Krotee United States	5	156 1.0×	187 1.2×	60 1.1×	19 0.8×	24 1.1×	5	265
Luisa U. Schäfer Germany	3	123 0.8×	126 0.8×	31 0.5×	29 1.3×	11 0.5×	3	201
Alexander J. Sercel United States	7	119 0.8×	193 1.3×	24 0.4×	14 0.6×	21 1.0×	8	255
Zheng Niu China	9	159 1.0×	183 1.2×	67 1.2×	18 0.8×	18 0.9×	13	302
Paraskevi L. Tsiolaki Greece	11	157 1.0×	208 1.4×	26 0.5×	26 1.1×	23 1.1×	21	286
Waltteri Hosia Sweden	8	156 1.0×	278 1.8×	94 1.6×	30 1.3×	11 0.5×	9	367
Dexter N. Dean United States	11	191 1.2×	206 1.3×	46 0.8×	34 1.5×	30 1.4×	21	301
Mark Dulchavsky United States	7	136 0.9×	229 1.5×	43 0.8×	37 1.6×	20 1.0×	11	312
Binh A. Nguyen United States	7	124 0.8×	180 1.2×	24 0.4×	31 1.3×	7 0.3×	12	246

Countries citing papers authored by Michele Sanguanini

Since Specialization

Citations

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

Fields of papers citing papers by Michele Sanguanini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Sanguanini

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

All Works

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6 of 6 papers shown

1.

Baumann, Kevin N., Michele Sanguanini, Matthias M. Schneider, et al.. (2022). A Kinetic Map of the Influence of Biomimetic Lipid Model Membranes on Aβ ₄₂ Aggregation. ACS Chemical Neuroscience. 14(2). 323–329. 10 indexed citations

2.

Sanguanini, Michele, Kevin N. Baumann, Sean Chia, et al.. (2020). Complexity in Lipid Membrane Composition Induces Resilience to Aβ₄₂ Aggregation. ACS Chemical Neuroscience. 11(9). 1347–1352. 24 indexed citations

3.

Sanguanini, Michele & Antonino Cattaneo. (2018). A continuous model of physiological prion aggregation suggests a role for Orb2 in gating long-term synaptic information. Royal Society Open Science. 5(12). 180336–180336. 5 indexed citations

4.

Sanguanini, Michele & Antonino Cattaneo. (2018). Supplementary material from "A continuous model of physiological prion aggregation suggests a role for Orb2 in gating long-term synaptic information". Figshare. 1 indexed citations

5.

Habchi, Johnny, Sean Chia, Céline Galvagnion, et al.. (2018). Cholesterol catalyses Aβ42 aggregation through a heterogeneous nucleation pathway in the presence of lipid membranes. Nature Chemistry. 10(6). 673–683. 192 indexed citations

6.

Cellerino, Alessandro & Michele Sanguanini. (2018). Transcriptome Analysis. 4 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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