Débora M. Andrade

15 total papers · 565 total citations
10 papers, 377 citations indexed

About

Débora M. Andrade is a scholar working on Molecular Biology, Biophysics and Structural Biology. According to data from OpenAlex, Débora M. Andrade has authored 10 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Biophysics and 2 papers in Structural Biology. Recurrent topics in Débora M. Andrade's work include Lipid Membrane Structure and Behavior (6 papers), Advanced Fluorescence Microscopy Techniques (5 papers) and Photosynthetic Processes and Mechanisms (2 papers). Débora M. Andrade is often cited by papers focused on Lipid Membrane Structure and Behavior (6 papers), Advanced Fluorescence Microscopy Techniques (5 papers) and Photosynthetic Processes and Mechanisms (2 papers). Débora M. Andrade collaborates with scholars based in United Kingdom, Germany and Denmark. Débora M. Andrade's co-authors include Christian Eggeling, Martin J. Booth, Mantas Žurauskas, Daniel Burke, Brian Patton, Mathias P. Clausen, B. Christoffer Lagerholm, Stefan W. Hell, Veronika Mueller and James E. Bear and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Scientific Reports.

In The Last Decade

Débora M. Andrade

9 papers receiving 373 citations

Author Peers

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

Author Last Decade Papers Cites
Débora M. Andrade 190 168 105 95 88 10 377
G Nomarski 92 0.5× 65 0.4× 93 0.9× 125 1.3× 16 0.2× 12 417
Kevin D. Whitley 283 1.5× 53 0.3× 50 0.5× 86 0.9× 30 0.3× 19 421
Adar Sonn-Segev 217 1.1× 39 0.2× 72 0.7× 37 0.4× 12 0.1× 13 406
Matthew C. Spink 111 0.6× 64 0.4× 36 0.3× 15 0.2× 113 1.3× 15 355
Benjamin Titze 113 0.6× 124 0.7× 31 0.3× 18 0.2× 165 1.9× 6 381
Pierre Soule 136 0.7× 221 1.3× 110 1.0× 100 1.1× 49 0.6× 9 419
Daniel Cole 172 0.9× 127 0.8× 151 1.4× 86 0.9× 10 0.1× 8 372
Ingo Gestmann 112 0.6× 50 0.3× 42 0.4× 31 0.3× 166 1.9× 12 423
Caroline Kizilyaprak 182 1.0× 38 0.2× 33 0.3× 19 0.2× 110 1.3× 13 350
Jes Dreier 132 0.7× 141 0.8× 70 0.7× 35 0.4× 41 0.5× 16 392

Countries citing papers authored by Débora M. Andrade

Since Specialization
Citations

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

Fields of papers citing papers by Débora M. Andrade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Débora M. Andrade

This figure shows the co-authorship network connecting the top 25 collaborators of Débora M. Andrade. A scholar is included among the top collaborators of Débora M. Andrade 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 Débora M. Andrade. Débora M. Andrade 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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