Paula M. Dalessio

23 total papers · 542 total citations
21 papers, 472 citations indexed

About

Paula M. Dalessio is a scholar working on Molecular Biology, Ecology and Cell Biology. According to data from OpenAlex, Paula M. Dalessio has authored 21 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Ecology and 5 papers in Cell Biology. Recurrent topics in Paula M. Dalessio's work include Protein Structure and Dynamics (12 papers), Physiological and biochemical adaptations (5 papers) and Enzyme Structure and Function (5 papers). Paula M. Dalessio is often cited by papers focused on Protein Structure and Dynamics (12 papers), Physiological and biochemical adaptations (5 papers) and Enzyme Structure and Function (5 papers). Paula M. Dalessio collaborates with scholars based in United States. Paula M. Dalessio's co-authors include Ira J. Ropson, Todd T. Gleeson, Gary K. Ackers, Joshua A. Boyer, Vince J. LiCata, James A. Carr, Robert S. Mazzeo, Susan Fromholt, Steven J. Wickler and Dennis A. Powers and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemistry and Journal of Virology.

In The Last Decade

Paula M. Dalessio

21 papers receiving 461 citations

Author Peers

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

Author Last Decade Papers Cites
Paula M. Dalessio 292 127 125 105 65 21 472
Robert N. Chapman 238 0.8× 33 0.3× 113 0.9× 84 0.8× 15 0.2× 13 472
Thomas W. Moon 128 0.4× 25 0.2× 197 1.6× 62 0.6× 65 1.0× 16 440
Amaël Dupaix 188 0.6× 30 0.2× 46 0.4× 22 0.2× 8 0.1× 39 421
M. Groß 238 0.8× 54 0.4× 16 0.1× 85 0.8× 17 0.3× 13 416
Christine Dubreuil 228 0.8× 14 0.1× 124 1.0× 38 0.4× 17 0.3× 20 450
Masashi Hirata 196 0.7× 14 0.1× 30 0.2× 190 1.8× 12 0.2× 17 498
Eizo Nakano 176 0.6× 21 0.2× 46 0.4× 86 0.8× 12 0.2× 39 497
Yu. A. Labas 314 1.1× 23 0.2× 61 0.5× 32 0.3× 46 0.7× 9 525
Tatsuaki Saito 377 1.3× 14 0.1× 57 0.5× 92 0.9× 14 0.2× 25 530
Junrui Li 346 1.2× 14 0.1× 40 0.3× 34 0.3× 31 0.5× 18 521

Countries citing papers authored by Paula M. Dalessio

Since Specialization
Citations

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

Fields of papers citing papers by Paula M. Dalessio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paula M. Dalessio

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