Hallie Dau

42 total papers · 585 total citations
19 papers, 369 citations indexed

About

Hallie Dau is a scholar working on Oncology, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Hallie Dau has authored 19 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 6 papers in Epidemiology and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Hallie Dau's work include Global Cancer Incidence and Screening (7 papers), Cervical Cancer and HPV Research (5 papers) and Mobile Health and mHealth Applications (2 papers). Hallie Dau is often cited by papers focused on Global Cancer Incidence and Screening (7 papers), Cervical Cancer and HPV Research (5 papers) and Mobile Health and mHealth Applications (2 papers). Hallie Dau collaborates with scholars based in Canada, Uganda and United States. Hallie Dau's co-authors include Justine A. Kavle, Cyril Engmann, Mary A. De Vera, Sharlene Gill, Jonathan M. Loree, Eric C. Sayre, Carl J. Brown, Helen McTaggart‐Cowan, Louise Gastonguay and Sarah Gimbel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Public Health Nutrition and BMC Cancer.

In The Last Decade

Hallie Dau

18 papers receiving 363 citations

Author Peers

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

Author						Papers	Cites
Hallie Dau	182	134	88	66	65	19	369
Mary Economou	95 0.5×	77 0.6×	45 0.5×	84 1.3×	31 0.5×	17	376
Azam Majidi	80 0.4×	102 0.8×	74 0.8×	39 0.6×	13 0.2×	15	395
Zegeye Getaneh	60 0.3×	60 0.4×	155 1.8×	29 0.4×	13 0.2×	28	427
Zakia C Nelson	123 0.7×	21 0.2×	96 1.1×	96 1.5×	48 0.7×	11	347
Zhuyue Li	91 0.5×	66 0.5×	20 0.2×	28 0.4×	19 0.3×	21	369
Manami Inoue	148 0.8×	89 0.7×	33 0.4×	131 2.0×	12 0.2×	17	377
Abegail A. Andaya	165 0.9×	46 0.3×	21 0.2×	106 1.6×	22 0.3×	12	387
Haomin Yang	113 0.6×	38 0.3×	24 0.3×	37 0.6×	19 0.3×	28	337
Catherine Cowell	64 0.4×	29 0.2×	67 0.8×	155 2.3×	42 0.6×	21	411
Ivete Dalben	35 0.2×	82 0.6×	26 0.3×	67 1.0×	18 0.3×	24	392

Countries citing papers authored by Hallie Dau

Since Specialization

Citations

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

Fields of papers citing papers by Hallie Dau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hallie Dau

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