Neta S. Zuckerman

5.0k total citations · 1 hit paper
73 papers, 2.0k citations indexed

About

Neta S. Zuckerman is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Neta S. Zuckerman has authored 73 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Infectious Diseases, 17 papers in Epidemiology and 14 papers in Molecular Biology. Recurrent topics in Neta S. Zuckerman's work include SARS-CoV-2 and COVID-19 Research (32 papers), SARS-CoV-2 detection and testing (18 papers) and COVID-19 Clinical Research Studies (9 papers). Neta S. Zuckerman is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (32 papers), SARS-CoV-2 detection and testing (18 papers) and COVID-19 Clinical Research Studies (9 papers). Neta S. Zuckerman collaborates with scholars based in Israel, United States and United Kingdom. Neta S. Zuckerman's co-authors include Michal Mandelboim, Yaniv Lustig, Gili Regev‐Yochay, Victoria Indenbaum, Yitshak Kreiss, Sharon Amit, Marc Lipsitch, Tal Gonen, E G Levin and Carmit Rubin and has published in prestigious journals such as New England Journal of Medicine, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Neta S. Zuckerman

65 papers receiving 1.9k citations

Hit Papers

Covid-19 Breakthrough Infections in Vaccinated Health Car... 2021 2026 2022 2024 2021 250 500 750

Peers

Neta S. Zuckerman
Comparison fields: 5 of 107
  • Infectious Diseases 1.2k
  • Molecular Biology 389
  • Immunology 332
  • Health 259
  • Modeling and Simulation 202
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Citations per field, relative to Neta S. Zuckerman
Neta S. Zuckerman · 1×
Citations per year, relative to Neta S. Zuckerman
Neta S. Zuckerman · 1×

Countries citing papers authored by Neta S. Zuckerman

Since Specialization
Citations

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

Fields of papers citing papers by Neta S. Zuckerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neta S. Zuckerman. 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 Neta S. Zuckerman. The network helps show where Neta S. Zuckerman may publish in the future.

Co-authorship network of co-authors of Neta S. Zuckerman

This figure shows the co-authorship network connecting the top 25 collaborators of Neta S. Zuckerman. A scholar is included among the top collaborators of Neta S. Zuckerman 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 Neta S. Zuckerman. Neta S. Zuckerman 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
# Work Indexed citations
1 0
2 4
3 16
4 2
5 1
6 0
7 5
8 11
9 4
10 4
11 20
12 1
13 3
14 42
15 3
16 31
17 2
18 142
19 50
20 87

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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2026