Amit Huppert

7.2k total citations · 4 hit papers
73 papers, 4.1k citations indexed

About

Amit Huppert is a scholar working on Infectious Diseases, Modeling and Simulation and Health. According to data from OpenAlex, Amit Huppert has authored 73 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Infectious Diseases, 22 papers in Modeling and Simulation and 20 papers in Health. Recurrent topics in Amit Huppert's work include SARS-CoV-2 and COVID-19 Research (30 papers), COVID-19 epidemiological studies (22 papers) and Vaccine Coverage and Hesitancy (20 papers). Amit Huppert is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (30 papers), COVID-19 epidemiological studies (22 papers) and Vaccine Coverage and Hesitancy (20 papers). Amit Huppert collaborates with scholars based in Israel, United States and Australia. Amit Huppert's co-authors include Lewi Stone, Bernd Blasius, Guy Katriel, Laurence S. Freedman, Yair Goldberg, Micha Mandel, Sharon Alroy‐Preis, Nachman Ash, Yinon M. Bar‐On and Ron Milo and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Amit Huppert

70 papers receiving 4.0k citations

Hit Papers

Complex dynamics and phase synchronization in spatially e... 1999 2026 2008 2017 1999 2021 2022 2021 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Amit Huppert Israel 27 1.9k 943 621 593 543 73 4.1k
Nicolas Hengartner United States 31 1.2k 0.7× 1.2k 1.2× 252 0.4× 382 0.6× 216 0.4× 133 4.3k
James E. Truscott United Kingdom 31 548 0.3× 540 0.6× 272 0.4× 700 1.2× 200 0.4× 72 3.1k
David J. D. Earn Canada 40 1.4k 0.7× 3.4k 3.6× 503 0.8× 2.2k 3.8× 192 0.4× 104 7.7k
Shweta Bansal United States 30 733 0.4× 1.5k 1.6× 219 0.4× 942 1.6× 54 0.1× 118 3.9k
Tom Britton Sweden 28 731 0.4× 2.0k 2.1× 173 0.3× 1.3k 2.2× 138 0.3× 112 7.5k
León Danon United Kingdom 28 918 0.5× 891 0.9× 171 0.3× 325 0.5× 536 1.0× 77 5.8k
Yanni Xiao China 39 1.7k 0.9× 3.7k 4.0× 171 0.3× 3.2k 5.4× 191 0.4× 180 6.4k
Sanyi Tang China 44 1.4k 0.7× 3.4k 3.6× 117 0.2× 4.1k 7.0× 491 0.9× 240 7.4k
Aaron A. King United States 34 714 0.4× 995 1.1× 145 0.2× 1.0k 1.7× 71 0.1× 89 5.0k
Weiming Wang China 36 1.2k 0.6× 3.4k 3.7× 105 0.2× 3.8k 6.5× 730 1.3× 200 6.8k

Countries citing papers authored by Amit Huppert

Since Specialization
Citations

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

Fields of papers citing papers by Amit Huppert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Huppert

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Huppert. A scholar is included among the top collaborators of Amit Huppert 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 Amit Huppert. Amit Huppert 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.
Ziv, Arnona, et al.. (2025). Hybrid and vaccination immunity against severe COVID-19 in the post-pandemic era—a retrospective cohort study. Clinical Microbiology and Infection. 31(8). 1371–1377.
2.
Yaari, Rami, Ronen Fluss, Yael Hershkovitz, et al.. (2024). Age-dependent seasonality in the incidence of stroke: A 21-year population-based study. European Stroke Journal. 9(2). 460–467.
3.
Goldberg, Yair, Ofra Amir, Micha Mandel, et al.. (2023). Measuring vaccine protection when the population is mostly vaccinated. Journal of Clinical Epidemiology. 163. 111–116. 2 indexed citations
4.
Goldberg, Yair & Amit Huppert. (2023). To boost or not to boost: navigating post-pandemic COVID-19 vaccination. The Lancet Respiratory Medicine. 11(12). 1039–1041. 2 indexed citations
5.
Goldberg, Yair, Micha Mandel, Ronen Fluss, et al.. (2022). Similarity of Protection Conferred by Previous SARS-CoV-2 Infection and by BNT162b2 Vaccine: A 3-Month Nationwide Experience From Israel. American Journal of Epidemiology. 191(8). 1420–1428. 25 indexed citations
6.
Gavish, Nir, Rami Yaari, Amit Huppert, & Guy Katriel. (2022). Population-level implications of the Israeli booster campaign to curtail COVID-19 resurgence. Science Translational Medicine. 14(647). eabn9836–eabn9836. 37 indexed citations
7.
Amir, Ofra, Yair Goldberg, Micha Mandel, et al.. (2022). Initial protection against SARS-CoV-2 omicron lineage infection in children and adolescents by BNT162b2 in Israel: an observational study. The Lancet Infectious Diseases. 23(1). 67–73. 12 indexed citations
8.
Amit, Sharon, et al.. (2022). Viral load dynamics of SARS-CoV-2 Delta and Omicron variants following multiple vaccine doses and previous infection. Nature Communications. 13(1). 6706–6706. 29 indexed citations
9.
Dattner, Itai, Reuven Gal, Yair Goldberg, et al.. (2022). The role of statisticians in the response to COVID-19 in Israel: a holistic point of view. Israel Journal of Health Policy Research. 11(1). 22–22. 5 indexed citations
10.
Huppert, Amit, et al.. (2021). An accurate model for SARS-CoV-2 pooled RT-PCR test errors. Royal Society Open Science. 8(11). 210704–210704. 3 indexed citations
11.
Meltzer, Eyal, Gill Smollan, Amit Huppert, et al.. (2019). Universal screening for Clostridioides difficile in a tertiary hospital: risk factors for carriage and clinical disease. Clinical Microbiology and Infection. 25(9). 1127–1132. 22 indexed citations
12.
Sasmal, Sourav Kumar, Indrajit Ghosh, Amit Huppert, & Joydev Chattopadhyay. (2018). Modeling the Spread of Zika Virus in a Stage-Structured Population: Effect of Sexual Transmission. Bulletin of Mathematical Biology. 80(11). 3038–3067. 23 indexed citations
13.
Berchenko, Yakir, Yossi Manor, Laurence S. Freedman, et al.. (2017). Estimation of polio infection prevalence from environmental surveillance data. Science Translational Medicine. 9(383). 54 indexed citations
14.
Huppert, Amit, et al.. (2014). Spatio-Temporal Synchrony of Influenza in Cities across Israel: The “Israel Is One City” Hypothesis. PLoS ONE. 9(3). e91909–e91909. 6 indexed citations
15.
Huppert, Amit & Guy Katriel. (2013). Mathematical modelling and prediction in infectious disease epidemiology. Clinical Microbiology and Infection. 19(11). 999–1005. 164 indexed citations
16.
Roll, Uri, Rami Yaari, Guy Katriel, et al.. (2011). Onset of a pandemic: characterizing the initial phase of the swine flu (H1N1) epidemic in Israel. BMC Infectious Diseases. 11(1). 92–92. 20 indexed citations
17.
Stone, Lewi, et al.. (2007). Seasonal dynamics of recurrent epidemics. Nature. 446(7135). 533–536. 211 indexed citations
18.
Huppert, Amit, et al.. (2007). Seasonal dynamics and thresholds governing recurrent epidemics. Journal of Mathematical Biology. 56(6). 827–839. 44 indexed citations
19.
Huppert, Amit, Bernd Blasius, & Lewi Stone. (2002). A Model of Phytoplankton Blooms. The American Naturalist. 159(2). 156–171. 123 indexed citations
20.
Huppert, Amit & Lewi Stone. (1998). Chaos in the Pacific's Coral Reef Bleaching Cycle. The American Naturalist. 152(3). 447–459. 35 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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