Natasha Markuzon

40 total papers · 723 total citations
21 papers, 436 citations indexed

About

Natasha Markuzon is a scholar working on Infectious Diseases, Statistical and Nonlinear Physics and Modeling and Simulation. According to data from OpenAlex, Natasha Markuzon has authored 21 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 5 papers in Statistical and Nonlinear Physics and 5 papers in Modeling and Simulation. Recurrent topics in Natasha Markuzon's work include Complex Network Analysis Techniques (5 papers), Opinion Dynamics and Social Influence (5 papers) and COVID-19 epidemiological studies (5 papers). Natasha Markuzon is often cited by papers focused on Complex Network Analysis Techniques (5 papers), Opinion Dynamics and Social Influence (5 papers) and COVID-19 epidemiological studies (5 papers). Natasha Markuzon collaborates with scholars based in United States, Russia and Switzerland. Natasha Markuzon's co-authors include Corey M. Benedum, Louis Y. Kim, Elfatih A. B. Eltahir, Osama M. E. Seidahmed, Marta C. González, John S. Brownstein, Sumiko R. Mekaru, James M. Wilson, Timothy A. Postlethwaite and Amar Gupta and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Human Molecular Genetics.

In The Last Decade

Natasha Markuzon

20 papers receiving 423 citations

Author Peers

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

Author						Papers	Cites
Natasha Markuzon	132	126	108	95	76	21	436
Elena Petelos	80 0.6×	61 0.5×	62 0.6×	32 0.3×	44 0.6×	30	401
Becky McCall	59 0.4×	48 0.4×	62 0.6×	51 0.5×	31 0.4×	22	439
Yu-Tsen Yeh	64 0.5×	38 0.3×	73 0.7×	25 0.3×	42 0.6×	26	379
Rohit Chitale	84 0.6×	149 1.2×	91 0.8×	20 0.2×	167 2.2×	25	422
Tsung-Shu Joseph Wu	93 0.7×	124 1.0×	92 0.9×	35 0.4×	150 2.0×	32	441
Francesco Sanmarchi	94 0.7×	51 0.4×	65 0.6×	23 0.2×	29 0.4×	48	491
Minghui Li	35 0.3×	93 0.7×	134 1.2×	65 0.7×	38 0.5×	18	445
Kellia Chiu	83 0.6×	20 0.2×	48 0.4×	108 1.1×	71 0.9×	18	483
Diana Cervantes	69 0.5×	163 1.3×	52 0.5×	57 0.6×	25 0.3×	23	477
Yuxin Zhao	45 0.3×	54 0.4×	47 0.4×	175 1.8×	49 0.6×	17	448

Countries citing papers authored by Natasha Markuzon

Since Specialization

Citations

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

Fields of papers citing papers by Natasha Markuzon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natasha Markuzon

This figure shows the co-authorship network connecting the top 25 collaborators of Natasha Markuzon. A scholar is included among the top collaborators of Natasha Markuzon 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 Natasha Markuzon. Natasha Markuzon 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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