Lidia M. Mannuzzu

1.4k total citations · 1 hit paper
7 papers, 1.1k citations indexed

About

Lidia M. Mannuzzu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Lidia M. Mannuzzu has authored 7 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Lidia M. Mannuzzu's work include Ion channel regulation and function (6 papers), Neuroscience and Neural Engineering (5 papers) and Cardiac electrophysiology and arrhythmias (3 papers). Lidia M. Mannuzzu is often cited by papers focused on Ion channel regulation and function (6 papers), Neuroscience and Neural Engineering (5 papers) and Cardiac electrophysiology and arrhythmias (3 papers). Lidia M. Mannuzzu collaborates with scholars based in United States, Italy and Germany. Lidia M. Mannuzzu's co-authors include Ehud Y. Isacoff, Mario M. Moronne, Chris S. Gandhi, H. Peter Larsson, Susumu Terakawa, Alois Sonnleitner, Roland Schönherr, Stefan H. Heinemann, Emanuele Albano and Paolo Arese and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Lidia M. Mannuzzu

7 papers receiving 1.1k citations

Hit Papers

Direct Physical Measure of Conformational Rearrangement U... 1996 2026 2006 2016 1996 100 200 300 400 500
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.

  1. Direct Physical Measure of Conformational Rearrangement Underlying Potassium Channel Gating
    1996 504 citations Lidia M. Mannuzzu, Mario M. Moronne et al. Science profile →

Peers

Lidia M. Mannuzzu
Albert Cha United States
Yajamana Ramu United States
M M White United States
Kimberly Matulef United States
Galen E. Flynn United States
Daniel A. Pasek United States
László Kiss United States
Yuichiro Fujiwara Japan
Lin Hymel United States
Michael J. Lenaeus United States
Albert Cha United States
Lidia M. Mannuzzu
Citations per year, relative to Lidia M. Mannuzzu Lidia M. Mannuzzu (= 1×) peers Albert Cha

Countries citing papers authored by Lidia M. Mannuzzu

Since Specialization
Citations

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

Fields of papers citing papers by Lidia M. Mannuzzu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lidia M. Mannuzzu. 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 Lidia M. Mannuzzu. The network helps show where Lidia M. Mannuzzu may publish in the future.

Co-authorship network of co-authors of Lidia M. Mannuzzu

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

All Works

7 of 7 papers shown
1.
Schönherr, Roland, Lidia M. Mannuzzu, Ehud Y. Isacoff, & Stefan H. Heinemann. (2002). Conformational Switch between Slow and Fast Gating Modes. Neuron. 35(5). 935–949. 50 indexed citations
2.
Sonnleitner, Alois, Lidia M. Mannuzzu, Susumu Terakawa, & Ehud Y. Isacoff. (2002). Structural rearrangements in single ion channels detected optically in living cells. Proceedings of the National Academy of Sciences. 99(20). 12759–12764. 79 indexed citations
3.
Mannuzzu, Lidia M. & Ehud Y. Isacoff. (2000). Independence and Cooperativity in Rearrangements of a Potassium Channel Voltage Sensor Revealed by Single Subunit Fluorescence. The Journal of General Physiology. 115(3). 257–268. 78 indexed citations
4.
Mannuzzu, Lidia M., et al.. (1999). Spectroscopic mapping of voltage sensor movement in the Shaker potassium channel. Nature. 402(6763). 813–817. 227 indexed citations
5.
Larsson, H. Peter, et al.. (1998). Three Transmembrane Conformations and Sequence-Dependent Displacement of the S4 Domain in Shaker K + Channel Gating. Neuron. 20(6). 1283–1294. 149 indexed citations
6.
Mannuzzu, Lidia M., Mario M. Moronne, & Ehud Y. Isacoff. (1996). Direct Physical Measure of Conformational Rearrangement Underlying Potassium Channel Gating. Science. 271(5246). 213–216. 504 indexed citations breakdown →
7.
Albano, Emanuele, Aldo Tomasi, Lidia M. Mannuzzu, & Paolo Arese. (1984). Detection of a free radical intermediate from divicine of vicia faba. Biochemical Pharmacology. 33(10). 1701–1704. 33 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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