Jessica Daw

26 total papers · 556 total citations
20 papers, 356 citations indexed

About

Jessica Daw is a scholar working on Otorhinolaryngology, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jessica Daw has authored 20 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Otorhinolaryngology, 10 papers in Pulmonary and Respiratory Medicine and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jessica Daw's work include Ear Surgery and Otitis Media (10 papers), Respiratory and Cough-Related Research (10 papers) and Sinusitis and nasal conditions (9 papers). Jessica Daw is often cited by papers focused on Ear Surgery and Otitis Media (10 papers), Respiratory and Cough-Related Research (10 papers) and Sinusitis and nasal conditions (9 papers). Jessica Daw collaborates with scholars based in Australia, United Kingdom and United States. Jessica Daw's co-authors include Thomas A Trikalinos, Joseph C. Cappelleri, Randa Eldessouki, Georgia Salanti, Jeroen P. Jansen, Christopher G. Brennan‐Jones, Martin J Burton, Anne GM Schilder, Jonathan R. Carapetis and Mahmood F. Bhutta and has published in prestigious journals such as Cochrane Database of Systematic Reviews, The Journal of Infectious Diseases and International Journal of Environmental Research and Public Health.

In The Last Decade

Jessica Daw

12 papers receiving 349 citations

Author Peers

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

Author Last Decade Papers Cites
Jessica Daw 72 66 59 52 48 20 356
Charles Anello 37 0.5× 38 0.6× 35 0.6× 98 1.9× 45 0.9× 22 344
Bada Yang 54 0.8× 23 0.3× 40 0.7× 8 0.2× 69 1.4× 23 401
N Molony 61 0.8× 43 0.7× 58 1.0× 59 1.1× 48 1.0× 23 297
Jared M. Wasserman 107 1.5× 49 0.7× 70 1.2× 90 1.7× 50 1.0× 11 300
Fuxiang Liang 34 0.5× 70 1.1× 65 1.1× 3 0.1× 57 1.2× 21 310
Erden Goljo 85 1.2× 85 1.3× 19 0.3× 24 0.5× 35 0.7× 14 356
F. Daly 23 0.3× 42 0.6× 6 0.1× 16 0.3× 112 2.3× 19 342
Anna Glechner 17 0.2× 74 1.1× 18 0.3× 3 0.1× 65 1.4× 22 396
Yasir Tarabichi 41 0.6× 46 0.7× 4 0.1× 8 0.2× 58 1.2× 28 350
Mengdong He 25 0.3× 55 0.8× 5 0.1× 3 0.1× 58 1.2× 19 340

Countries citing papers authored by Jessica Daw

Since Specialization
Citations

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

Fields of papers citing papers by Jessica Daw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jessica Daw

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