Deepika E. Slawek

37 total papers · 807 total citations
25 papers, 573 citations indexed

About

Deepika E. Slawek is a scholar working on Pharmacology, Epidemiology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Deepika E. Slawek has authored 25 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pharmacology, 9 papers in Epidemiology and 8 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Deepika E. Slawek's work include Cannabis and Cannabinoid Research (13 papers), Prenatal Substance Exposure Effects (6 papers) and Homelessness and Social Issues (5 papers). Deepika E. Slawek is often cited by papers focused on Cannabis and Cannabinoid Research (13 papers), Prenatal Substance Exposure Effects (6 papers) and Homelessness and Social Issues (5 papers). Deepika E. Slawek collaborates with scholars based in United States, South Africa and United Kingdom. Deepika E. Slawek's co-authors include Kanoelani Pilobello, Lara K. Mahal, Chinazo O. Cunningham, Julia H. Arnsten, Chenshu Zhang, Nancy Sohler, Jonathan Ross, Frances R. Levin, Haruka Minami and Matthew J. Akiyama and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Annals of Internal Medicine and JAMA Internal Medicine.

In The Last Decade

Deepika E. Slawek

22 papers receiving 565 citations

Author Peers

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

Author						Papers	Cites
Deepika E. Slawek	397	177	155	134	63	25	573
Yanbin Pan	354 0.9×	70 0.4×	198 1.3×	98 0.7×	87 1.4×	28	663
Raafat Fahim	393 1.0×	81 0.5×	119 0.8×	123 0.9×	108 1.7×	21	677
Alan Doyle	208 0.5×	38 0.2×	39 0.3×	55 0.4×	53 0.8×	35	594
Katherine L. Schaefer	349 0.9×	31 0.2×	26 0.2×	57 0.4×	47 0.7×	20	687
Jean‐Philippe Meyer	384 1.0×	27 0.2×	159 1.0×	29 0.2×	40 0.6×	25	639
Pascal Kessler	404 1.0×	113 0.6×	73 0.5×	94 0.7×	22 0.3×	40	679
Peter Tyrer	143 0.4×	123 0.7×	27 0.2×	121 0.9×	40 0.6×	23	560
T. O’Brien	202 0.5×	31 0.2×	120 0.8×	31 0.2×	96 1.5×	37	648
James I. Dunlop	416 1.0×	99 0.6×	29 0.2×	98 0.7×	81 1.3×	23	694
Aarti Raja	252 0.6×	137 0.8×	54 0.3×	206 1.5×	61 1.0×	20	685

Countries citing papers authored by Deepika E. Slawek

Since Specialization

Citations

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

Fields of papers citing papers by Deepika E. Slawek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deepika E. Slawek. 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 Deepika E. Slawek. The network helps show where Deepika E. Slawek may publish in the future.

Co-authorship network of co-authors of Deepika E. Slawek

This figure shows the co-authorship network connecting the top 25 collaborators of Deepika E. Slawek. A scholar is included among the top collaborators of Deepika E. Slawek 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 Deepika E. Slawek. Deepika E. Slawek 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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