Philippe Laramée

54 total papers · 1.0k total citations
35 papers, 677 citations indexed

About

Philippe Laramée is a scholar working on Epidemiology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Philippe Laramée has authored 35 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 14 papers in Pathology and Forensic Medicine and 8 papers in Oncology. Recurrent topics in Philippe Laramée's work include Substance Abuse Treatment and Outcomes (16 papers), Alcohol Consumption and Health Effects (14 papers) and Health Systems, Economic Evaluations, Quality of Life (6 papers). Philippe Laramée is often cited by papers focused on Substance Abuse Treatment and Outcomes (16 papers), Alcohol Consumption and Health Effects (14 papers) and Health Systems, Economic Evaluations, Quality of Life (6 papers). Philippe Laramée collaborates with scholars based in France, United Kingdom and Canada. Philippe Laramée's co-authors include Jean‐Bernard Daeppen, Jürgen Rehm, David Wonderling, S.A. Leonard, C. François, Abdallah Al‐Mohammad, Jonathan Mant, Dirk J. Gouma, Marco J. Bruno and Marcel G.W. Dijkgraaf and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and Gastroenterology.

In The Last Decade

Philippe Laramée

34 papers receiving 664 citations

Author Peers

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

Author						Papers	Cites
Philippe Laramée	239	228	184	151	88	35	677
Claudio Barbiellini Amidei	149 0.6×	96 0.4×	99 0.5×	106 0.7×	49 0.6×	43	724
Lisa Glass	392 1.6×	218 1.0×	122 0.7×	76 0.5×	41 0.5×	18	704
Kun Sei Lee	100 0.4×	131 0.6×	49 0.3×	115 0.8×	85 1.0×	42	592
Bertram Häussler	95 0.4×	252 1.1×	121 0.7×	60 0.4×	83 0.9×	56	686
Susan Spillane	158 0.7×	50 0.2×	122 0.7×	67 0.4×	121 1.4×	23	701
David E. Milov	180 0.8×	166 0.7×	52 0.3×	39 0.3×	102 1.2×	27	658
Qian Cai	55 0.2×	166 0.7×	125 0.7×	185 1.2×	51 0.6×	34	742
Dasha Cherepanov	58 0.2×	128 0.6×	96 0.5×	49 0.3×	81 0.9×	32	764
Robert Szulkin	58 0.2×	97 0.4×	95 0.5×	70 0.5×	66 0.8×	24	606
Niklas Schmedt	119 0.5×	58 0.3×	59 0.3×	64 0.4×	44 0.5×	43	684

Countries citing papers authored by Philippe Laramée

Since Specialization

Citations

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

Fields of papers citing papers by Philippe Laramée

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe Laramée

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