Leah Briscoe

1.2k total citations · 1 hit paper
8 papers, 570 citations indexed

About

Leah Briscoe is a scholar working on Molecular Biology, Ecology and Biomedical Engineering. According to data from OpenAlex, Leah Briscoe has authored 8 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Ecology and 2 papers in Biomedical Engineering. Recurrent topics in Leah Briscoe's work include Gut microbiota and health (4 papers), Single-cell and spatial transcriptomics (2 papers) and Advanced Chemical Sensor Technologies (2 papers). Leah Briscoe is often cited by papers focused on Gut microbiota and health (4 papers), Single-cell and spatial transcriptomics (2 papers) and Advanced Chemical Sensor Technologies (2 papers). Leah Briscoe collaborates with scholars based in United States, Israel and Australia. Leah Briscoe's co-authors include Eran Halperin, Ori Furman, Liat Shenhav, Itzhak Mizrahi, Michael Thompson, Itsik Pe’er, Tyler Joseph, David Bogumil, Justin D. Silverman and Nandita R. Garud and has published in prestigious journals such as Nature Communications, Nature Methods and Genome biology.

In The Last Decade

Leah Briscoe

8 papers receiving 567 citations

Hit Papers

FEAST: fast expectation-maximization for microbial source... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leah Briscoe United States 7 271 149 98 81 48 8 570
Ori Furman Israel 5 318 1.2× 174 1.2× 69 0.7× 92 1.1× 49 1.0× 6 659
Tyler Joseph United States 8 257 0.9× 175 1.2× 54 0.6× 82 1.0× 49 1.0× 13 565
Ksenia Arkhipova United Kingdom 8 291 1.1× 407 2.7× 92 0.9× 94 1.2× 48 1.0× 14 652
Guanhua Deng China 10 258 1.0× 193 1.3× 67 0.7× 65 0.8× 22 0.5× 25 710
Sarah J. Spencer United States 10 266 1.0× 160 1.1× 41 0.4× 86 1.1× 22 0.5× 12 560
Pawel Sierocinski United Kingdom 9 199 0.7× 256 1.7× 72 0.7× 142 1.8× 44 0.9× 13 505
Neelam M. Nathani India 11 142 0.5× 91 0.6× 44 0.4× 73 0.9× 26 0.5× 44 406
Arghavan Alisoltani United States 13 215 0.8× 92 0.6× 108 1.1× 42 0.5× 24 0.5× 30 435
F. A. Bastiaan von Meijenfeldt Netherlands 12 361 1.3× 419 2.8× 80 0.8× 102 1.3× 22 0.5× 21 733
Fred J. Genthner United States 14 143 0.5× 156 1.0× 70 0.7× 55 0.7× 41 0.9× 28 453

Countries citing papers authored by Leah Briscoe

Since Specialization
Citations

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

Fields of papers citing papers by Leah Briscoe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leah Briscoe

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

All Works

8 of 8 papers shown
1.
Briscoe, Leah, Eran Halperin, & Nandita R. Garud. (2023). SNV-FEAST: microbial source tracking with single nucleotide variants. Genome biology. 24(1). 101–101. 4 indexed citations
2.
Briscoe, Leah, Brunilda Balliu, Sriram Sankararaman, Eran Halperin, & Nandita R. Garud. (2022). Evaluating supervised and unsupervised background noise correction in human gut microbiome data. PLoS Computational Biology. 18(2). e1009838–e1009838. 8 indexed citations
3.
Singh, Gulshan, Yeneneh Haileselassie, Leah Briscoe, et al.. (2021). The effect of gastric acid suppression on probiotic colonization in a double blinded randomized clinical trial. Clinical Nutrition ESPEN. 47. 70–77. 20 indexed citations
4.
Mandric, Igor, Arunabha Majumdar, Kangcheng Hou, et al.. (2020). Optimized design of single-cell RNA sequencing experiments for cell-type-specific eQTL analysis. Nature Communications. 11(1). 5504–5504. 36 indexed citations
5.
Shenhav, Liat, Michael Thompson, Tyler Joseph, et al.. (2019). FEAST: fast expectation-maximization for microbial source tracking. Nature Methods. 16(7). 627–632. 388 indexed citations breakdown →
6.
Shenhav, Liat, Ori Furman, Leah Briscoe, et al.. (2019). Modeling the temporal dynamics of the gut microbial community in adults and infants. PLoS Computational Biology. 15(6). e1006960–e1006960. 37 indexed citations
7.
López, David, Dennis Montoya, Larry Lam, et al.. (2017). SaVanT: a web-based tool for the sample-level visualization of molecular signatures in gene expression profiles. BMC Genomics. 18(1). 824–824. 33 indexed citations
8.
Meyer, Sofie E. De, Leah Briscoe, Pilar Martínez‐Hidalgo, et al.. (2016). Symbiotic Burkholderia Species Show Diverse Arrangements of nif/fix and nod Genes and Lack Typical High-Affinity Cytochrome cbb3 Oxidase Genes. Molecular Plant-Microbe Interactions. 29(8). 609–619. 44 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.

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