Deepa Weerasekera

37 total papers · 16.8k total citations
12 papers, 253 citations indexed

About

Deepa Weerasekera is a scholar working on Physiology, Health and Speech and Hearing. According to data from OpenAlex, Deepa Weerasekera has authored 12 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 4 papers in Health and 2 papers in Speech and Hearing. Recurrent topics in Deepa Weerasekera's work include Smoking Behavior and Cessation (11 papers), Health disparities and outcomes (4 papers) and Global Public Health Policies and Epidemiology (2 papers). Deepa Weerasekera is often cited by papers focused on Smoking Behavior and Cessation (11 papers), Health disparities and outcomes (4 papers) and Global Public Health Policies and Epidemiology (2 papers). Deepa Weerasekera collaborates with scholars based in New Zealand and Australia. Deepa Weerasekera's co-authors include Richard Edwards, Robert Templeton, Niki Stefanogiannis, Nick Wilson, George Thomson, Heather Gifford, Li‐Chia Yeh, Judy Li, Tony Blakely and Ron Borland and has published in prestigious journals such as BMC Public Health, Tobacco Control and Nicotine & Tobacco Research.

In The Last Decade

Deepa Weerasekera

12 papers receiving 240 citations

Author Peers

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

Author						Papers	Cites
Deepa Weerasekera	167	83	50	38	33	12	253
Antoni Baena	217 1.3×	78 0.9×	90 1.8×	47 1.2×	47 1.4×	20	296
Kerstin Schotte	170 1.0×	89 1.1×	54 1.1×	25 0.7×	19 0.6×	14	309
Dona Upson	121 0.7×	86 1.0×	66 1.3×	13 0.3×	26 0.8×	13	311
Chung-won Lee	195 1.2×	65 0.8×	74 1.5×	25 0.7×	57 1.7×	7	317
Yuan Jiang	167 1.0×	54 0.7×	54 1.1×	37 1.0×	52 1.6×	18	276
Mark Wallace‐Bell	182 1.1×	72 0.9×	77 1.5×	44 1.2×	54 1.6×	19	284
Lucy McCullough	153 0.9×	52 0.6×	88 1.8×	33 0.9×	20 0.6×	11	259
Genevieve Sansone	206 1.2×	71 0.9×	36 0.7×	33 0.9×	77 2.3×	16	330
Adam Lester‐George	217 1.3×	71 0.9×	109 2.2×	54 1.4×	69 2.1×	13	305
Natalie Sansone	225 1.3×	98 1.2×	52 1.0×	25 0.7×	67 2.0×	6	330

Countries citing papers authored by Deepa Weerasekera

Since Specialization

Citations

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

Fields of papers citing papers by Deepa Weerasekera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepa Weerasekera

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