Philip Lau

32 total papers · 720 total citations
23 papers, 573 citations indexed

About

Philip Lau is a scholar working on Epidemiology, Pharmacology and Pathology and Forensic Medicine. According to data from OpenAlex, Philip Lau has authored 23 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 7 papers in Pharmacology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Philip Lau's work include Substance Abuse Treatment and Outcomes (15 papers), Cannabis and Cannabinoid Research (7 papers) and Alcohol Consumption and Health Effects (6 papers). Philip Lau is often cited by papers focused on Substance Abuse Treatment and Outcomes (15 papers), Cannabis and Cannabinoid Research (7 papers) and Alcohol Consumption and Health Effects (6 papers). Philip Lau collaborates with scholars based in United States and Canada. Philip Lau's co-authors include Cindy L. Ehlers, David A. Gilder, Kirk C. Wilhelmsen, Wendy S. Slutske, Ian R. Gizer, Evelyn Phillips, Tamara L. Wall, Linda A. Corey, Cassandra Vieten and José R. Criado and has published in prestigious journals such as American Journal of Psychiatry, Annals of the New York Academy of Sciences and Drug and Alcohol Dependence.

In The Last Decade

Philip Lau

22 papers receiving 555 citations

Author Peers

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

Author						Papers	Cites
Philip Lau	267	144	140	121	112	23	573
C. O'Brien	368 1.4×	79 0.5×	216 1.5×	134 1.1×	52 0.5×	11	676
William D. Dundon	320 1.2×	111 0.8×	148 1.1×	102 0.8×	97 0.9×	14	611
Katherine Papafotiou	206 0.8×	356 2.5×	110 0.8×	66 0.5×	83 0.7×	17	613
Gerardo Flórez	175 0.7×	119 0.8×	143 1.0×	217 1.8×	48 0.4×	48	638
Carmen S. van der Zwaluw	226 0.8×	44 0.3×	151 1.1×	254 2.1×	63 0.6×	19	648
Kenneth M. Dürsteler‐MacFarland	217 0.8×	89 0.6×	157 1.1×	85 0.7×	38 0.3×	37	603
Aaron C. Lim	165 0.6×	68 0.5×	129 0.9×	70 0.6×	62 0.6×	39	512
Jennifer G. Plebani	242 0.9×	86 0.6×	185 1.3×	80 0.7×	38 0.3×	16	509
Mercè Balcells‐Oliveró	167 0.6×	305 2.1×	115 0.8×	98 0.8×	38 0.3×	43	546
Tam T. Nguyen‐Louie	186 0.7×	117 0.8×	120 0.9×	97 0.8×	33 0.3×	22	604

Countries citing papers authored by Philip Lau

Since Specialization

Citations

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

Fields of papers citing papers by Philip Lau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Lau

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