Natalia Khuri

1.0k total citations
32 papers, 685 citations indexed

About

Natalia Khuri is a scholar working on Molecular Biology, Oncology and Artificial Intelligence. According to data from OpenAlex, Natalia Khuri has authored 32 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Oncology and 7 papers in Artificial Intelligence. Recurrent topics in Natalia Khuri's work include Drug Transport and Resistance Mechanisms (8 papers), Computational Drug Discovery Methods (6 papers) and Single-cell and spatial transcriptomics (3 papers). Natalia Khuri is often cited by papers focused on Drug Transport and Resistance Mechanisms (8 papers), Computational Drug Discovery Methods (6 papers) and Single-cell and spatial transcriptomics (3 papers). Natalia Khuri collaborates with scholars based in United States, Japan and Sweden. Natalia Khuri's co-authors include Andrej Săli, Kathleen M. Giacomini, Hao Fan, Avner Schlessinger, Guang Qiang Dong, Matthias Wittwer, Dina Schneidman‐Duhovny, Michaël Nilges, Benjamin Webb and Yannick G. Spill and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Natalia Khuri

30 papers receiving 677 citations

Peers

Natalia Khuri
Jane P. F. Bai United States
Rowan Stringer Switzerland
Stephan Kopp Austria
Thomas J. Vidmar United States
David O. Nettleton United States
Peijuan Zhu United States
Christine M. Bowman United States
Chayan Acharya United States
Jane P. F. Bai United States
Natalia Khuri
Citations per year, relative to Natalia Khuri Natalia Khuri (= 1×) peers Jane P. F. Bai

Countries citing papers authored by Natalia Khuri

Since Specialization
Citations

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

Fields of papers citing papers by Natalia Khuri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalia Khuri

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

All Works

20 of 20 papers shown
1.
Howard, Dianna S., David Foureau, Chan-Ju Lee, et al.. (2024). High-dimensional Immune Profiles and Machine Learning May Predict Acute Myeloid Leukemia Relapse Early following Transplant. The Journal of Immunology. 213(10). 1441–1451.
2.
Grayson, Jason M., et al.. (2023). Multi-Objective Genetic Algorithm for Cluster Analysis of Single-Cell Transcriptomes. Journal of Personalized Medicine. 13(2). 183–183. 2 indexed citations
3.
Khuri, Natalia, et al.. (2022). An evolutionary approach to data valuation. 1–10. 1 indexed citations
4.
Khuri, Natalia, et al.. (2021). Using game theory to guide the classification of inhibitors of human iodide transporters. 916–923. 3 indexed citations
5.
Winter, Michael B., et al.. (2021). Global Protease Activity Profiling Identifies HER2-Driven Proteolysis in Breast Cancer. ACS Chemical Biology. 16(4). 712–723. 6 indexed citations
6.
Khuri, Natalia, et al.. (2021). Classification of drug prescribing information using long short-term memory networks. 1086–1089. 1 indexed citations
7.
Khuri, Natalia, et al.. (2021). A Game-Theoretical Approach for Data Acquisition From Fitness Tracking Devices. 11. 1–6. 1 indexed citations
8.
Zou, Ling, Peter Spanogiannopoulos, Lindsey M. Pieper, et al.. (2020). Bacterial metabolism rescues the inhibition of intestinal drug absorption by food and drug additives. Proceedings of the National Academy of Sciences. 117(27). 16009–16018. 41 indexed citations
9.
Khuri, Natalia, et al.. (2020). Interdisciplinary Minor in Bioinformatics. 407–412. 3 indexed citations
10.
Vora, Bianca, et al.. (2019). Drug–nutrient interactions: discovering prescription drug inhibitors of the thiamine transporter ThTR-2 (SLC19A3). American Journal of Clinical Nutrition. 111(1). 110–121. 24 indexed citations
11.
Ayad, Nadia M.E., et al.. (2019). Challenges in the Regulation of High-Cost Treatments: An Overview From Brazil. Value in Health Regional Issues. 20. 191–195. 1 indexed citations
12.
Heller, Philip, et al.. (2019). A Long-Short Term Memory Network for Detecting CRISPR Arrays. 619–624. 1 indexed citations
13.
Schneidman‐Duhovny, Dina, Natalia Khuri, Guang Qiang Dong, et al.. (2018). Predicting CD4 T-cell epitopes based on antigen cleavage, MHCII presentation, and TCR recognition. PLoS ONE. 13(11). e0206654–e0206654. 24 indexed citations
14.
Khuri, Natalia, et al.. (2018). Creating Digital Collages Inspired by English Texts. 115. 228–233. 1 indexed citations
15.
Khuri, Sami, Miri K. VanHoven, & Natalia Khuri. (2017). Increasing the Capacity of STEM Workforce. 315–320. 9 indexed citations
16.
Khuri, Natalia, Arik A. Zur, Matthias Wittwer, et al.. (2017). Computational Discovery and Experimental Validation of Inhibitors of the Human Intestinal Transporter OATP2B1. Journal of Chemical Information and Modeling. 57(6). 1402–1413. 16 indexed citations
17.
Altman, Russ B., Natalia Khuri, Marc Salit, & Kathleen M. Giacomini. (2015). Unmet needs: Research helps regulators do their jobs. Science Translational Medicine. 7(315). 315ps22–315ps22. 10 indexed citations
18.
Pieper, Ursula, Benjamin Webb, Guang Qiang Dong, et al.. (2013). ModBase, a database of annotated comparative protein structure models and associated resources. Nucleic Acids Research. 42(D1). D336–D346. 220 indexed citations
19.
Schlessinger, Avner, Natalia Khuri, Kathleen M. Giacomini, & Andrej Săli. (2013). Molecular Modeling and Ligand Docking for Solute Carrier (SLC) Transporters. Current Topics in Medicinal Chemistry. 13(7). 843–856. 59 indexed citations
20.
Schlessinger, Avner, Matthias Wittwer, Amber Dahlin, et al.. (2012). High Selectivity of the γ-Aminobutyric Acid Transporter 2 (GAT-2, SLC6A13) Revealed by Structure-based Approach. Journal of Biological Chemistry. 287(45). 37745–37756. 39 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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