Liat Shenhav

2.2k total citations · 1 hit paper
23 papers, 1.1k citations indexed

About

Liat Shenhav is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Liat Shenhav has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Epidemiology. Recurrent topics in Liat Shenhav's work include Gut microbiota and health (9 papers), Genetic Associations and Epidemiology (3 papers) and Epigenetics and DNA Methylation (3 papers). Liat Shenhav is often cited by papers focused on Gut microbiota and health (9 papers), Genetic Associations and Epidemiology (3 papers) and Epigenetics and DNA Methylation (3 papers). Liat Shenhav collaborates with scholars based in United States, Israel and Canada. Liat Shenhav's co-authors include Eran Halperin, Ori Furman, Itzhak Mizrahi, Itsik Pe’er, Tyler Joseph, Leah Briscoe, Michael Thompson, David Bogumil, David Zeevi and Elior Rahmani and has published in prestigious journals such as Science, Nature Communications and Nature Biotechnology.

In The Last Decade

Liat Shenhav

22 papers receiving 1.1k 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.

FEAST: fast expectation-maximization for microbial source tracking

2019 388 citations Liat Shenhav, Michael Thompson et al. Nature Methods profile →

Peers

Countries citing papers authored by Liat Shenhav

Since Specialization

Citations

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

Fields of papers citing papers by Liat Shenhav

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liat Shenhav

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Human milk as a microbial pacemaker 2025 ·Cell Host & Microbe ·Liat Shenhav, Meghan B. Azad, Michael A. Silverman	1
2	Personalized mood prediction from patterns of behavior collected with smartphones 2024 ·npj Digital Medicine ·Brunilda Balliu, Chris Douglas, (unknown), Liat Shenhav, Yue Wu, (unknown), William Kaiser, (unknown), Jennifer Kim, Sandeep Deverasetty, Inna Arnaudova, Robert D. Gibbons, Eliza Congdon, Michelle G. Craske, Nelson B. Freimer, Eran Halperin, Sriram Sankararaman, Jonathan Flint	15
3	Serum and CSF metabolomics analysis shows Mediterranean Ketogenic Diet mitigates risk factors of Alzheimer’s disease 2024 ·PubMed ·(unknown), Richa Batra, Bryan J. Neth, Cameron Martino, Liat Shenhav, Anru R. Zhang, Pixu Shi, Naama Karu, Kevin Huynh, Peter J. Meikle, (unknown), Amanda Hazel Dilmore, Kaj Blennow, Henrik Zetterberg, Colette Blach, Pieter C. Dorrestein, Rob Knight, Suzanne Craft, Rima Kaddurah‐Daouk, Jan Krumsiek	14
4	TEMPTED: time-informed dimensionality reduction for longitudinal microbiome studies 2024 ·Genome biology ·Pixu Shi, Cameron Martino, (unknown), Stefan Janssen, Gregory A. Buck, Myrna G. Serrano, Kouros Owzar, Rob Knight, Liat Shenhav, Anru R. Zhang	2
5	Microdiversity of the vaginal microbiome is associated with preterm birth 2023 ·Nature Communications ·Jingqiu Liao, Liat Shenhav, (unknown), Myrna G. Serrano, Bin Zhu, Gregory A. Buck, Tal Korem	31
6	Contamination source modeling with SCRuB improves cancer phenotype prediction from microbiome data 2023 ·Nature Biotechnology ·(unknown), Heekuk Park, (unknown), (unknown), Tanya Sezin, Yue Clare Lou, Brian Firek, Michael J. Morowitz, Jillian F. Banfield, Angela M. Christiano, Itsik Pe’er, Anne‐Catrin Uhlemann, Liat Shenhav, Tal Korem	31
7	Quantifying Replicability and Consistency in Systematic Reviews 2022 ·Statistics in Biopharmaceutical Research ·Iman Jaljuli, Yoav Benjamini, Liat Shenhav, Orestis A. Panagiotou, Ruth Heller	4
8	Using Community Ecology Theory and Computational Microbiome Methods To Study Human Milk as a Biological System 2022 ·mSystems ·Liat Shenhav, Meghan B. Azad	10
9	Compositionally Aware Phylogenetic Beta-Diversity Measures Better Resolve Microbiomes Associated with Phenotype 2022 ·mSystems ·Cameron Martino, Daniel McDonald, Kalen Cantrell, Amanda Hazel Dilmore, Yoshiki Vázquez‐Baeza, Liat Shenhav, Justin P. Shaffer, Gibraan Rahman, George Armstrong, Celeste Allaband, Se Jin Song, Rob Knight	12
10	Resource conservation manifests in the genetic code 2020 ·Science ·Liat Shenhav, David Zeevi	35
11	Stochasticity constrained by deterministic effects of diet and age drive rumen microbiome assembly dynamics 2020 ·Nature Communications ·Ori Furman, Liat Shenhav, Goor Sasson, Fotini Kokou, Hen Honig, Shamay Jacoby, Tomer Hertz, Otto X. Cordero, Eran Halperin, Itzhak Mizrahi	150
12	Compositional Lotka-Volterra describes microbial dynamics in the simplex 2020 ·PLoS Computational Biology ·Tyler Joseph, Liat Shenhav, João B. Xavier, Eran Halperin, Itsik Pe’er	40
13	Context-aware dimensionality reduction deconvolutes gut microbial community dynamics 2020 ·Nature Biotechnology ·Cameron Martino, Liat Shenhav, Clarisse Marotz, George Armstrong, Daniel McDonald, Yoshiki Vázquez‐Baeza, James T. Morton, Lingjing Jiang, Maria Gloria Domínguez-Bello, Austin D. Swafford, Eran Halperin, Rob Knight	51
14	Re-examining the robustness of voice features in predicting depression: Compared with baseline of confounders 2019 ·PLoS ONE ·Wei Pan, Jonathan Flint, Liat Shenhav, Tianli Liu, (unknown), Bin Hu, Tingshao Zhu	28
15	FEAST: fast expectation-maximization for microbial source tracking breakdown → 2019 ·Nature Methods ·Liat Shenhav, Michael Thompson, Tyler Joseph, Leah Briscoe, Ori Furman, David Bogumil, Itzhak Mizrahi, Itsik Pe’er, Eran Halperin	388
16	Modeling the temporal dynamics of the gut microbial community in adults and infants 2019 ·PLoS Computational Biology ·Liat Shenhav, Ori Furman, Leah Briscoe, Michael Thompson, Justin D. Silverman, Itzhak Mizrahi, Eran Halperin	37
17	BayesCCE: a Bayesian framework for estimating cell-type composition from DNA methylation without the need for methylation reference 2018 ·Genome biology ·Elior Rahmani, Regev Schweiger, Liat Shenhav, (unknown), Ira Hofer, Eilon Gabel, Eleazar Eskin, Eran Halperin	36
18	Using Stochastic Approximation Techniques to Efficiently Construct Confidence Intervals for Heritability 2018 ·Journal of Computational Biology ·Regev Schweiger, Eyal Fisher, Elior Rahmani, Liat Shenhav, Saharon Rosset, Eran Halperin	7
19	Genome-wide methylation data mirror ancestry information 2017 ·Epigenetics & Chromatin ·Elior Rahmani, Liat Shenhav, Regev Schweiger, Paul Yousefi, Karen Huen, Brenda Eskenazi, Celeste Eng, Scott Huntsman, Donglei Hu, Joshua Galanter, Sam S. Oh, Mélanie Waldenberger, Konstantin Strauch, Harald Grallert, Thomas Meitinger, Christian Gieger, Nina Holland, Esteban G. Burchard, Noah Zaitlen, Eran Halperin	84
20	Efficacy of Corneal Collagen Cross-Linking for the Treatment of Keratoconus 2016 ·Cornea ·(unknown), Shay Keren, Amir Rosenblatt, (unknown), Liat Shenhav, David Varssano	84

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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