Matan Levine-Tiefenbrun

953 citations
4 papers · 494 indexed · 1 hit paper · h-index 4
Topics
SARS-CoV-2 detection and testing (3 papers)SARS-CoV-2 and COVID-19 Research (3 papers)COVID-19 Clinical Research Studies (2 papers)
Partner nations
Israel

In The Last Decade

Matan Levine-Tiefenbrun

4 papers receiving 486 citations

Hit Papers

Initial report of decreased SARS-CoV-2 viral load after i...20212026202220242021100200300

Peers

Matan Levine-Tiefenbrun
Comparison fields: 5 of 64
  • Infectious Diseases 414
  • Modeling and Simulation 159
  • Health 144
  • Epidemiology 42
  • Molecular Biology 36
Replace Licita Schreiber with:
Licita Schreiber Israel
Asad Zaidi United Kingdom
Francisco Cázares de León Mexico
Yuka Jinnai United States
Ruth Studley United Kingdom
Galit Perez Israel
Heriberto García-Escorza Chile
Fabio Paredes Chile
Roberto Dias de Oliveira Brazil
Ali Nizar Latif Qatar
Matan Levine-Tiefenbrun relative to Licita Schreiber Israel Licita Schreiber's profile →
Citations per field
00.5×2.7×
Licita Schreiber · 1×
Citations per year

Countries citing papers authored by Matan Levine-Tiefenbrun

Since Specialization
Citations

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

Fields of papers citing papers by Matan Levine-Tiefenbrun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matan Levine-Tiefenbrun. 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 Matan Levine-Tiefenbrun. The network helps show where Matan Levine-Tiefenbrun may publish in the future.

Co-authorship network of co-authors of Matan Levine-Tiefenbrun

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

All Works

About Matan Levine-Tiefenbrun

Matan Levine-Tiefenbrun is a scholar working on Modeling and Simulation, Infectious Diseases and Health, having authored 4 papers that have together received 494 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Modeling and Simulation (159 citations), Infectious Diseases (414 citations) and Health (144 citations). Matan Levine-Tiefenbrun has collaborated with scholars based in Israel. Frequent co-authors include Esma Herzel, Sivan Gazit, Idan Yelin, Roy Kishony, Jacob Kuint, Tal Patalon, Gabriel Chodick, Rachel Katz, Amir Ben‐Tov and Licita Schreiber. Their work appears in journals such as Nature Medicine, Nature Communications and Journal of Molecular Diagnostics.

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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