Jennifer Deane

22 total papers · 807 total citations
10 papers, 573 citations indexed

About

Jennifer Deane is a scholar working on Oncology, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jennifer Deane has authored 10 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Pediatrics, Perinatology and Child Health and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jennifer Deane's work include Cancer survivorship and care (6 papers), Childhood Cancer Survivors' Quality of Life (6 papers) and Palliative Care and End-of-Life Issues (5 papers). Jennifer Deane is often cited by papers focused on Cancer survivorship and care (6 papers), Childhood Cancer Survivors' Quality of Life (6 papers) and Palliative Care and End-of-Life Issues (5 papers). Jennifer Deane collaborates with scholars based in United Kingdom, United States and Taiwan. Jennifer Deane's co-authors include Judith Owens, Gahan Fallone, Mohamed A. Thaha, Ania Korszun, Rebecca Roylance, Trudie Chalder, Liam Bourke, Morvwen Duncan, Kamaldeep Bhui and Elisavet Moschopoulou and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Frontiers in Psychology and Sleep Medicine Reviews.

In The Last Decade

Jennifer Deane

9 papers receiving 553 citations

Author Peers

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

Author						Papers	Cites
Jennifer Deane	324	192	119	97	94	10	573
Sara Matteson-Rusby	436 1.3×	243 1.3×	165 1.4×	109 1.1×	140 1.5×	7	672
Katsuhiko Kawaminami	208 0.6×	107 0.6×	52 0.4×	66 0.7×	55 0.6×	11	552
Florence Blais	381 1.2×	259 1.3×	51 0.4×	21 0.2×	65 0.7×	7	511
Aude Caplette‐Gingras	294 0.9×	118 0.6×	227 1.9×	150 1.5×	28 0.3×	12	529
James Stevenson	216 0.7×	125 0.7×	11 0.1×	158 1.6×	192 2.0×	8	697
Mary I. Huang	281 0.9×	211 1.1×	8 0.1×	72 0.7×	62 0.7×	12	685
Ian K. Villalta	185 0.6×	66 0.3×	51 0.4×	24 0.2×	31 0.3×	11	574
Anitra D.M. Koopman	185 0.6×	67 0.3×	44 0.4×	33 0.3×	19 0.2×	19	579
Melissa Johnson	101 0.3×	92 0.5×	58 0.5×	32 0.3×	92 1.0×	15	507
Catherine Vena	193 0.6×	64 0.3×	201 1.7×	150 1.5×	18 0.2×	13	496

Countries citing papers authored by Jennifer Deane

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer Deane

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Deane

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