Sylvia M. LaCourse

102 total papers · 1.7k total citations
62 papers, 538 citations indexed

About

Sylvia M. LaCourse is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Sylvia M. LaCourse has authored 62 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Infectious Diseases, 42 papers in Epidemiology and 22 papers in Surgery. Recurrent topics in Sylvia M. LaCourse's work include Tuberculosis Research and Epidemiology (42 papers), Pneumocystis jirovecii pneumonia detection and treatment (29 papers) and Diagnosis and treatment of tuberculosis (19 papers). Sylvia M. LaCourse is often cited by papers focused on Tuberculosis Research and Epidemiology (42 papers), Pneumocystis jirovecii pneumonia detection and treatment (29 papers) and Diagnosis and treatment of tuberculosis (19 papers). Sylvia M. LaCourse collaborates with scholars based in United States, Kenya and South Africa. Sylvia M. LaCourse's co-authors include Grace John‐Stewart, Lisa M. Cranmer, Barbra A. Richardson, John Kinuthia, Daniel Matemo, Elizabeth Maleche‐Obimbo, Kristina M. Adams Waldorf, Mina C. Hosseinipour, David Horné and Dalton Wamalwa and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Sylvia M. LaCourse

54 papers receiving 526 citations

Author Peers

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

Author						Papers	Cites
Sylvia M. LaCourse	404	316	194	55	47	62	538
Vandana Kulkarni	335 0.8×	204 0.6×	125 0.6×	42 0.8×	54 1.1×	51	610
Harvinder Kaur	225 0.6×	158 0.5×	104 0.5×	43 0.8×	54 1.1×	78	583
Elisa López‐Varela	340 0.8×	297 0.9×	113 0.6×	28 0.5×	35 0.7×	50	509
Cristina Epalza	369 0.9×	224 0.7×	110 0.6×	127 2.3×	25 0.5×	40	615
Morten Bjerregaard-Andersen	335 0.8×	261 0.8×	140 0.7×	37 0.7×	167 3.6×	31	577
Yohannes Zenebe	187 0.5×	289 0.9×	73 0.4×	26 0.5×	20 0.4×	26	489
Tara Harris	195 0.5×	199 0.6×	81 0.4×	24 0.4×	25 0.5×	24	481
Karine Astruc	135 0.3×	139 0.4×	115 0.6×	42 0.8×	17 0.4×	40	595
Sanjeev Nair	421 1.0×	299 0.9×	229 1.2×	25 0.5×	26 0.6×	31	510
Alberto García‐Salido	151 0.4×	122 0.4×	149 0.8×	36 0.7×	23 0.5×	68	501

Countries citing papers authored by Sylvia M. LaCourse

Since Specialization

Citations

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

Fields of papers citing papers by Sylvia M. LaCourse

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sylvia M. LaCourse. 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 Sylvia M. LaCourse. The network helps show where Sylvia M. LaCourse may publish in the future.

Co-authorship network of co-authors of Sylvia M. LaCourse

This figure shows the co-authorship network connecting the top 25 collaborators of Sylvia M. LaCourse. A scholar is included among the top collaborators of Sylvia M. LaCourse 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 Sylvia M. LaCourse. Sylvia M. LaCourse 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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