Pamela J. Lescault

956 total citations · 1 hit paper
5 papers, 629 citations indexed

About

Pamela J. Lescault is a scholar working on Epidemiology, Parasitology and Infectious Diseases. According to data from OpenAlex, Pamela J. Lescault has authored 5 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Epidemiology, 2 papers in Parasitology and 1 paper in Infectious Diseases. Recurrent topics in Pamela J. Lescault's work include Toxoplasma gondii Research Studies (2 papers), Marine Sponges and Natural Products (1 paper) and Herpesvirus Infections and Treatments (1 paper). Pamela J. Lescault is often cited by papers focused on Toxoplasma gondii Research Studies (2 papers), Marine Sponges and Natural Products (1 paper) and Herpesvirus Infections and Treatments (1 paper). Pamela J. Lescault collaborates with scholars based in United States and Netherlands. Pamela J. Lescault's co-authors include Joseph H. Vineis, Mitchell L. Sogin, Hilary G. Morrison, A. Murat Eren, Julie Réveillaud, Immaculata De Vivo, Gordon S. Huggins, Graham A. Colditz, Susan E. Hankinson and Marike Boezen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Pamela J. Lescault

5 papers receiving 623 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Minimum entropy decomposition: Unsupervised oligotyping for sensitive partitioning of high-throughput marker gene sequences

2014 406 citations A. Murat Eren, Hilary G. Morrison et al. The ISME Journal profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Pamela J. Lescault United States	5	250	208	129	84	72	5	629
Akira Nagai Japan	15	247 1.0×	41 0.2×	42 0.3×	15 0.2×	32 0.4×	45	693
Utz Mueller Australia	13	176 0.7×	33 0.2×	71 0.6×	31 0.4×	38 0.5×	28	692
Michael Collins United States	18	175 0.7×	169 0.8×	67 0.5×	63 0.8×	5 0.1×	42	791
Wei‐Ming Lee Taiwan	15	86 0.3×	41 0.2×	79 0.6×	23 0.3×	138 1.9×	46	538
Huanling Wang China	19	333 1.3×	251 1.2×	161 1.2×	15 0.2×	8 0.1×	111	1.6k
Larbi Bedrani Canada	9	233 0.9×	115 0.6×	134 1.0×	46 0.5×	6 0.1×	13	648
Marie Roumet Switzerland	11	84 0.3×	54 0.3×	163 1.3×	8 0.1×	88 1.2×	35	481
A Diallo France	8	196 0.8×	83 0.4×	77 0.6×	51 0.6×	4 0.1×	15	460
Angela Glassing United States	7	318 1.3×	110 0.5×	59 0.5×	10 0.1×	6 0.1×	7	564

Countries citing papers authored by Pamela J. Lescault

Since Specialization

Citations

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

Fields of papers citing papers by Pamela J. Lescault

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pamela J. Lescault. 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 Pamela J. Lescault. The network helps show where Pamela J. Lescault may publish in the future.

Co-authorship network of co-authors of Pamela J. Lescault

This figure shows the co-authorship network connecting the top 25 collaborators of Pamela J. Lescault. A scholar is included among the top collaborators of Pamela J. Lescault 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 Pamela J. Lescault. Pamela J. Lescault is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Eren, A. Murat, Hilary G. Morrison, Pamela J. Lescault, et al.. (2014). Minimum entropy decomposition: Unsupervised oligotyping for sensitive partitioning of high-throughput marker gene sequences. The ISME Journal. 9(4). 968–979. 406 indexed citations breakdown →

2.

Patil, Veerupaxagouda, et al.. (2012). Disruption of the Expression of a Non-Coding RNA Significantly Impairs Cellular Differentiation in Toxoplasma gondii. International Journal of Molecular Sciences. 14(1). 611–624. 8 indexed citations

3.

Lescault, Pamela J., et al.. (2010). Genomic Data Reveal Toxoplasma gondii Differentiation Mutants Are Also Impaired with Respect to Switching into a Novel Extracellular Tachyzoite State. PLoS ONE. 5(12). e14463–e14463. 30 indexed citations

4.

Cramer, Daniel W., Mark D. Hornstein, Patricia M. McShane, et al.. (2003). Human progesterone receptor polymorphisms and implantation failure during in vitro fertilization. American Journal of Obstetrics and Gynecology. 189(4). 1085–1092. 29 indexed citations

5.

Vivo, Immaculata De, Gordon S. Huggins, Susan E. Hankinson, et al.. (2002). A functional polymorphism in the promoter of the progesterone receptor gene associated with endometrial cancer risk. Proceedings of the National Academy of Sciences. 99(19). 12263–12268. 156 indexed citations

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.

Explore authors with similar magnitude of impact