Natalia Khuri

46 total papers · 1.0k total citations
32 papers, 684 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 684 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 Pharmacological Effects and Toxicity Studies (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 Pharmacological Effects and Toxicity Studies (3 papers). Natalia Khuri collaborates with scholars based in United States, Brazil and Israel. Natalia Khuri's co-authors include Andrej Săli, Kathleen M. Giacomini, Hao Fan, Avner Schlessinger, Guang Qiang Dong, Dina Schneidman‐Duhovny, Matthias Wittwer, Michaël Nilges, Benjamin Webb and Seung Joong Kim 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 676 citations

Author Peers

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

Author						Papers	Cites
Natalia Khuri	312	236	121	89	78	32	684
Dallas Bednarczyk	243 0.8×	300 1.3×	137 1.1×	50 0.6×	67 0.9×	24	675
Olafur Gudmundsson	231 0.7×	296 1.3×	99 0.8×	53 0.6×	47 0.6×	24	723
Aina Westrheim Ravna	447 1.4×	183 0.8×	41 0.3×	108 1.2×	24 0.3×	41	707
Heiner Glombik	344 1.1×	312 1.3×	69 0.6×	21 0.2×	38 0.5×	24	713
Eleftheria Tsakalozou	211 0.7×	168 0.7×	92 0.8×	48 0.5×	18 0.2×	47	759
Stephan Kopp	251 0.8×	438 1.9×	156 1.3×	73 0.8×	16 0.2×	24	697
Hilde Bohets	209 0.7×	254 1.1×	72 0.6×	69 0.8×	75 1.0×	18	769
Larissa M. Balogh	247 0.8×	279 1.2×	145 1.2×	21 0.2×	58 0.7×	15	630
Hélène Baubichon-Cortay	435 1.4×	377 1.6×	71 0.6×	23 0.3×	27 0.3×	18	782
Yukiko Nakajima	224 0.7×	265 1.1×	97 0.8×	63 0.7×	27 0.3×	33	787

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

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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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