Uri Obolski

2.9k total citations
79 papers, 1.3k citations indexed

About

Uri Obolski is a scholar working on Epidemiology, Infectious Diseases and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Uri Obolski has authored 79 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Epidemiology, 16 papers in Infectious Diseases and 13 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Uri Obolski's work include COVID-19 epidemiological studies (12 papers), Influenza Virus Research Studies (10 papers) and Pneumonia and Respiratory Infections (9 papers). Uri Obolski is often cited by papers focused on COVID-19 epidemiological studies (12 papers), Influenza Virus Research Studies (10 papers) and Pneumonia and Respiratory Infections (9 papers). Uri Obolski collaborates with scholars based in Israel, United Kingdom and United States. Uri Obolski's co-authors include Lilach Hadany, José Lourenço, Robin N. Thompson, Gideon Y. Stein, Sunetra Gupta, Yoav Ram, Craig Thompson, Eynat Dellus-Gur, Andrea Gori and Ohad Lewin‐Epstein and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Uri Obolski

74 papers receiving 1.3k citations

Peers

Uri Obolski

EPIDE

PHEOH

Krishna Prasad Acharya Nepal

Samit Bhattacharyya India

Ian Miller United States

Sonja Lehtinen United Kingdom

Pia Abel zur Wiesch United States

Fidisoa Rasambainarivo United States

Md. Mazharul Islam Bangladesh

Benjamin L. Rice United States

Chris Jewell United Kingdom

Malavika Rajeev United States

Krishna Prasad Acharya Nepal

Uri Obolski

184 ×0.6

EPIDE

68 ×0.3

50 ×0.2

263 ×1.3

186 ×1.1

PHEOH

Citations per year, relative to Uri Obolski Uri Obolski (= 1×) peers Krishna Prasad Acharya

Countries citing papers authored by Uri Obolski

Since Specialization

Citations

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

Fields of papers citing papers by Uri Obolski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uri Obolski

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

All Works

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20 of 20 papers shown

Goldbourt, Uri, Yael Benyamini, Ran Gilad-Bachrach, et al.. (2025). Machine learning in epidemiology: An introduction, comparison with traditional methods, and a case study of predicting extreme longevity. Annals of Epidemiology. 110. 23–33.

Shomron, Noam, et al.. (2024). Prediction of sustained opioid use in children and adolescents using machine learning. British Journal of Anaesthesia. 133(2). 351–359. 2 indexed citations

Giovanetti, Marta, et al.. (2024). Population at risk of dengue virus transmission has increased due to coupled climate factors and population growth. Communications Earth & Environment. 5(1). 20 indexed citations

Stensrud, Mats Julius, Daniel Nevo, & Uri Obolski. (2024). Distinguishing Immunologic and Behavioral Effects of Vaccination. Epidemiology. 35(2). 154–163. 3 indexed citations

Swarthout, Todd D., Thandie S. Mwalukomo, Arox W. Kamng’ona, et al.. (2024). Clonal Expansion of a Streptococcus pneumoniae Serotype 3 Capsule Variant Sequence Type 700 With Enhanced Vaccine Escape Potential After 13-Valent Pneumococcal Conjugate Vaccine Introduction. The Journal of Infectious Diseases. 230(1). e189–e198. 5 indexed citations

Obolski, Uri, Todd D. Swarthout, Thandie S. Mwalukomo, et al.. (2023). The metabolic, virulence and antimicrobial resistance profiles of colonising Streptococcus pneumoniae shift after PCV13 introduction in urban Malawi. Nature Communications. 14(1). 7477–7477. 9 indexed citations

Giovanetti, Marta, et al.. (2023). Global transmission suitability maps for dengue virus transmitted by Aedes aegypti from 1981 to 2019. Scientific Data. 10(1). 275–275. 27 indexed citations

Chowers, Michal, et al.. (2022). Estimating the impact of cefuroxime versus cefazolin and amoxicillin/clavulanate use on future collateral resistance: a retrospective comparison. Journal of Antimicrobial Chemotherapy. 77(7). 1992–1995. 7 indexed citations

Lourenço, José, Anna McNaughton, Caitlin Pley, et al.. (2022). Polymorphisms predicting phylogeny in hepatitis B virus. Virus Evolution. 9(1). veac116–veac116. 1 indexed citations

10.

Obolski, Uri, et al.. (2022). Modelling COVID-19 vaccine breakthrough infections in highly vaccinated Israel—The effects of waning immunity and third vaccination dose. SHILAP Revista de lepidopterología. 2(11). e0001211–e0001211. 20 indexed citations

11.

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

12.

Obolski, Uri, et al.. (2021). Unnecessary antibiotic treatment of children hospitalised with respiratory syncytial virus (RSV) bronchiolitis: risk factors and prescription patterns. Journal of Global Antimicrobial Resistance. 27. 303–308. 22 indexed citations

13.

Kassem, Eias, et al.. (2021). A game theoretic approach reveals that discretizing clinical information can reduce antibiotic misuse. Nature Communications. 12(1). 1148–1148. 30 indexed citations

14.

Cherny, Stacey S., et al.. (2020). Revealing antibiotic cross-resistance patterns in hospitalized patients through Bayesian network modelling. Journal of Antimicrobial Chemotherapy. 76(1). 239–248. 20 indexed citations

15.

Thompson, Robin N., et al.. (2020). Estimating COVID-19 outbreak risk through air travel. Journal of Travel Medicine. 27(5). 48 indexed citations

16.

Lewin‐Epstein, Ohad, et al.. (2020). Predicting Antibiotic Resistance in Hospitalized Patients by Applying Machine Learning to Electronic Medical Records. Clinical Infectious Diseases. 72(11). e848–e855. 58 indexed citations

17.

Swarthout, Todd D., Claudio Fronterrè, José Lourenço, et al.. (2020). High residual carriage of vaccine-serotype Streptococcus pneumoniae after introduction of pneumococcal conjugate vaccine in Malawi. Nature Communications. 11(1). 2222–2222. 68 indexed citations

18.

Thompson, Robin N., et al.. (2019). Increased frequency of travel in the presence of cross-immunity may act to decrease the chance of a global pandemic. Philosophical Transactions of the Royal Society B Biological Sciences. 374(1775). 20180274–20180274. 24 indexed citations

19.

Khait, Itzhak, Uri Obolski, Arjan Boonman, et al.. (2019). Flowers respond to pollinator sound within minutes by increasing nectar sugar concentration. Ecology Letters. 22(9). 1483–1492. 76 indexed citations

20.

Obolski, Uri, et al.. (2019). MVSE : An R‐package that estimates a climate‐driven mosquito‐borne viral suitability index. Methods in Ecology and Evolution. 10(8). 1357–1370. 18 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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