Jessica Chadwick

55 total papers · 1.7k total citations
19 papers, 760 citations indexed

About

Jessica Chadwick is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Jessica Chadwick has authored 19 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Cell Biology and 5 papers in Physiology. Recurrent topics in Jessica Chadwick's work include Cellular transport and secretion (4 papers), Muscle Physiology and Disorders (4 papers) and Lipid Membrane Structure and Behavior (3 papers). Jessica Chadwick is often cited by papers focused on Cellular transport and secretion (4 papers), Muscle Physiology and Disorders (4 papers) and Lipid Membrane Structure and Behavior (3 papers). Jessica Chadwick collaborates with scholars based in United States, United Kingdom and Qatar. Jessica Chadwick's co-authors include Farida Begum, Mark Skehel, Laura Pellegrini, Madeline A. Lancaster, Claudia Bonfio, Jill A. Rafael‐Fortney, Sean Munro, Gillian Howard, Carolina Mendoza-Topaz and Elena Shvets and has published in prestigious journals such as Science, Circulation and Nature Communications.

In The Last Decade

Jessica Chadwick

19 papers receiving 751 citations

Hit Papers

Human CNS barrier-forming... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Jessica Chadwick 476 251 146 87 76 19 760
Gerardo Ramos‐Mandujano 351 0.7× 155 0.6× 114 0.8× 107 1.2× 75 1.0× 35 703
Robert N. Wilkinson 531 1.1× 378 1.5× 76 0.5× 62 0.7× 35 0.5× 26 908
Swathi Ayloo 380 0.8× 150 0.6× 102 0.7× 98 1.1× 60 0.8× 9 889
G. Devilliers 557 1.2× 250 1.0× 69 0.5× 203 2.3× 21 0.3× 22 821
Keiko Nonomura 431 0.9× 152 0.6× 367 2.5× 84 1.0× 24 0.3× 11 790
Magnus Bundgaard 284 0.6× 142 0.6× 140 1.0× 132 1.5× 27 0.4× 15 661
Meredith H. Wilson 478 1.0× 218 0.9× 236 1.6× 92 1.1× 82 1.1× 21 857
Angélica Keller 514 1.1× 88 0.4× 123 0.8× 155 1.8× 33 0.4× 20 883
Wissam A. AbouAlaiwi 465 1.0× 146 0.6× 103 0.7× 106 1.2× 21 0.3× 33 857
Hiroki Hagiwara 494 1.0× 204 0.8× 129 0.9× 91 1.0× 32 0.4× 29 830

Countries citing papers authored by Jessica Chadwick

Since Specialization
Citations

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

Fields of papers citing papers by Jessica Chadwick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jessica Chadwick

This figure shows the co-authorship network connecting the top 25 collaborators of Jessica Chadwick. A scholar is included among the top collaborators of Jessica Chadwick 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 Jessica Chadwick. Jessica Chadwick 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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