Laura Toppozini

17 total papers · 543 total citations
15 papers, 458 citations indexed

About

Laura Toppozini is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Organic Chemistry. According to data from OpenAlex, Laura Toppozini has authored 15 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Atomic and Molecular Physics, and Optics and 2 papers in Organic Chemistry. Recurrent topics in Laura Toppozini's work include Lipid Membrane Structure and Behavior (12 papers), Spectroscopy and Quantum Chemical Studies (7 papers) and Protein Structure and Dynamics (5 papers). Laura Toppozini is often cited by papers focused on Lipid Membrane Structure and Behavior (12 papers), Spectroscopy and Quantum Chemical Studies (7 papers) and Protein Structure and Dynamics (5 papers). Laura Toppozini collaborates with scholars based in Canada, United States and United Kingdom. Laura Toppozini's co-authors include Maikel C. Rheinstädter, Hannah Dies, Clare L. Armstrong, Richard J. Alsop, Norbert Kučerka, Matthew A. Barrett, Z. Yamani, David W. Deamer, Victoria García Sakai and Friederike Schmid and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Laura Toppozini

15 papers receiving 455 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Laura Toppozini 365 130 72 59 45 15 458
Mirko Erlkamp 341 0.9× 74 0.6× 41 0.6× 47 0.8× 11 0.2× 16 510
Balázs Jójárt 311 0.9× 80 0.6× 21 0.3× 100 1.7× 14 0.3× 39 530
Šárka Pokorná 378 1.0× 79 0.6× 21 0.3× 32 0.5× 6 0.1× 20 498
Z. Faidon Brotzakis 276 0.8× 67 0.5× 78 1.1× 20 0.3× 5 0.1× 30 485
Caitlin E. Cornell 374 1.0× 53 0.4× 25 0.3× 21 0.4× 76 1.7× 19 431
Mark E. Filipkowski 172 0.5× 74 0.6× 122 1.7× 66 1.1× 6 0.1× 11 438
Vanessa Leone 428 1.2× 36 0.3× 15 0.2× 21 0.4× 9 0.2× 20 546
Ranajay Saha 203 0.6× 54 0.4× 9 0.1× 102 1.7× 84 1.9× 26 413
Subhasish Chakraborty 132 0.4× 63 0.5× 18 0.3× 192 3.3× 8 0.2× 33 552
Richard W. Loo 235 0.6× 66 0.5× 24 0.3× 128 2.2× 4 0.1× 19 521

Countries citing papers authored by Laura Toppozini

Since Specialization
Citations

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

Fields of papers citing papers by Laura Toppozini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Toppozini

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

All Works

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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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