Yonatan H. Grad

14.8k total citations · 4 hit papers
142 papers, 7.6k citations indexed

About

Yonatan H. Grad is a scholar working on Microbiology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Yonatan H. Grad has authored 142 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Microbiology, 46 papers in Infectious Diseases and 42 papers in Epidemiology. Recurrent topics in Yonatan H. Grad's work include Reproductive tract infections research (51 papers), Bacterial Infections and Vaccines (38 papers) and Syphilis Diagnosis and Treatment (25 papers). Yonatan H. Grad is often cited by papers focused on Reproductive tract infections research (51 papers), Bacterial Infections and Vaccines (38 papers) and Syphilis Diagnosis and Treatment (25 papers). Yonatan H. Grad collaborates with scholars based in United States, United Kingdom and Canada. Yonatan H. Grad's co-authors include Marc Lipsitch, Stephen M. Kissler, Christine Tedijanto, Edward Goldstein, George M. Church, Scott W. Olesen, Gary Ruvkun, John Kim, Gabriel D. Hayes and Daniel B. Larremore and has published in prestigious journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Yonatan H. Grad

138 papers receiving 7.4k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period

2020 1.6k citations Stephen M. Kissler, Christine Tedijanto et al. Science profile →
Model-informed COVID-19 vaccine prioritization strategies by age and serostatus

2021 491 citations Stephen M. Kissler, Marc Lipsitch et al. Science profile →
Identification of many microRNAs that copurify with polyribosomes in mammalian neurons

2003 470 citations Yonatan H. Grad et al. Proceedings of the National Academy of Sciences profile →
Aggregated mobility data could help fight COVID-19

2020 279 citations Caroline O. Buckee, Yonatan H. Grad et al. Science profile →

Author Peers

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

Author						Papers	Cites
Yonatan H. Grad	2.3k	1.9k	1.5k	1.5k	1.4k	142	7.6k
Chih‐Cheng Lai	4.7k 2.1×	818 0.4×	225 0.1×	1.3k 0.8×	2.9k 2.0×	444	12.0k
Esam I. Azhar	4.4k 2.0×	786 0.4×	190 0.1×	2.2k 1.5×	1.1k 0.8×	357	9.5k
Sotirios Tsiodras	4.1k 1.8×	514 0.3×	322 0.2×	1.1k 0.7×	2.3k 1.6×	316	9.7k
Niel Hens	2.8k 1.2×	4.0k 2.1×	764 0.5×	634 0.4×	4.6k 3.2×	382	11.0k
Travis C. Porco	2.4k 1.1×	790 0.4×	1.2k 0.8×	962 0.6×	3.0k 2.1×	357	9.8k
Mark A. Miller	7.4k 3.3×	1.7k 0.9×	520 0.3×	2.6k 1.7×	8.7k 6.0×	254	17.1k
Charles W. Stratton	3.9k 1.7×	476 0.2×	532 0.3×	1.2k 0.8×	2.2k 1.6×	260	8.9k
Robert T. Schooley	3.6k 1.6×	432 0.2×	988 0.6×	1.8k 1.2×	3.0k 2.1×	197	11.3k
Michael Höelscher	9.1k 4.0×	720 0.4×	327 0.2×	1.5k 1.0×	4.6k 3.2×	223	12.6k
Kelvin Kai‐Wang To	12.3k 5.5×	1.5k 0.8×	252 0.2×	2.5k 1.7×	4.3k 3.0×	316	19.2k

Countries citing papers authored by Yonatan H. Grad

Since Specialization

Citations

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

Fields of papers citing papers by Yonatan H. Grad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yonatan H. Grad. 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 Yonatan H. Grad. The network helps show where Yonatan H. Grad may publish in the future.

Co-authorship network of co-authors of Yonatan H. Grad

This figure shows the co-authorship network connecting the top 25 collaborators of Yonatan H. Grad. A scholar is included among the top collaborators of Yonatan H. Grad 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 Yonatan H. Grad. Yonatan H. Grad 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

Kissler, Stephen M., et al.. (2024). Spatiotemporal Trends in Group A Streptococcal Pharyngitis in the United States. Clinical Infectious Diseases. 78(5). 1345–1351. 1 indexed citations

Wilcock, Andrew D., Stephen M. Kissler, Ateev Mehrotra, et al.. (2024). Clinical Risk and Outpatient Therapy Utilization for COVID-19 in the Medicare Population. JAMA Health Forum. 5(1). e235044–e235044. 8 indexed citations

Kissler, Stephen M. & Yonatan H. Grad. (2022). ANTICIPATING RACIAL/ETHNIC MORTALITY DISPLACEMENT FROM COVID-19. American Journal of Epidemiology. 191(8). 1519–1520. 4 indexed citations

Sater, Mohamad, Loren G. Miller, James A. McKinnell, et al.. (2022). Modelling methicillin-resistant Staphylococcus aureus decolonization: interactions between body sites and the impact of site-specific clearance. Journal of The Royal Society Interface. 19(191). 20210916–20210916. 5 indexed citations

Kissler, Stephen M., et al.. (2022). Analysis of multiple bacterial species and antibiotic classes reveals large variation in the association between seasonal antibiotic use and resistance. PLoS Biology. 20(3). e3001579–e3001579. 17 indexed citations

Kevin, C., Jaime E. Hale, Yonatan H. Grad, et al.. (2022). Trends in Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Seroprevalence in Massachusetts Estimated from Newborn Screening Specimens. Clinical Infectious Diseases. 75(1). e105–e113. 3 indexed citations

Kissler, Stephen M., R. Monina Klevens, Michael L. Barnett, & Yonatan H. Grad. (2021). Childhood Respiratory Outpatient Visits Correlate With Socioeconomic Status and Drive Geographic Patterns in Antibiotic Prescribing. The Journal of Infectious Diseases. 223(12). 2029–2037. 5 indexed citations

Olesen, Scott W., Marc Lipsitch, & Yonatan H. Grad. (2020). The role of “spillover” in antibiotic resistance. Proceedings of the National Academy of Sciences. 117(46). 29063–29068. 27 indexed citations

Kissler, Stephen M., Christine Tedijanto, Edward Goldstein, Yonatan H. Grad, & Marc Lipsitch. (2020). Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period. Science. 368(6493). 860–868. 1642 indexed citations breakdown →

10.

Volz, Erik, Carsten Wiuf, Yonatan H. Grad, et al.. (2020). Identification of Hidden Population Structure in Time-Scaled Phylogenies. Systematic Biology. 69(5). 884–896. 18 indexed citations

11.

Kissler, Stephen M., R. Monina Klevens, Michael L. Barnett, & Yonatan H. Grad. (2020). Distinguishing the Roles of Antibiotic Stewardship and Reductions in Outpatient Visits in Generating a 5-Year Decline in Antibiotic Prescribing. Clinical Infectious Diseases. 72(9). 1568–1576. 9 indexed citations

12.

Kahn, Rebecca, Lee Kennedy‐Shaffer, Yonatan H. Grad, James M. Robins, & Marc Lipsitch. (2020). Potential Biases Arising From Epidemic Dynamics in Observational Seroprotection Studies. American Journal of Epidemiology. 190(2). 328–335. 10 indexed citations

13.

Vegvari, Carolin, Yonatan H. Grad, Peter J White, et al.. (2020). Using rapid point-of-care tests to inform antibiotic choice to mitigate drug resistance in gonorrhoea. Eurosurveillance. 25(43). 8 indexed citations

14.

Wang, Ying, Raquel Ferrer‐Espada, Yan Baglo, et al.. (2019). Photoinactivation of Neisseria gonorrhoeae: A Paradigm-Changing Approach for Combating Antibiotic-Resistant Gonococcal Infection. The Journal of Infectious Diseases. 220(5). 873–881. 29 indexed citations

15.

Wadsworth, Crista B., Mohamad Sater, Roby P. Bhattacharyya, & Yonatan H. Grad. (2019). Impact of Species Diversity on the Design of RNA-Based Diagnostics for Antibiotic Resistance in Neisseria gonorrhoeae. Antimicrobial Agents and Chemotherapy. 63(8). 21 indexed citations

16.

Arnold, Brian, Michael U. Gutmann, Yonatan H. Grad, et al.. (2018). Weak Epistasis May Drive Adaptation in Recombining Bacteria. Genetics. 208(3). 1247–1260. 37 indexed citations

17.

Tedijanto, Christine, Scott W. Olesen, Yonatan H. Grad, & Marc Lipsitch. (2018). Estimating the proportion of bystander selection for antibiotic resistance among potentially pathogenic bacterial flora. Proceedings of the National Academy of Sciences. 115(51). E11988–E11995. 127 indexed citations

18.

Olesen, Scott W., Elizabeth Torrone, John R. Papp, et al.. (2018). Azithromycin Susceptibility Among Neisseria gonorrhoeae Isolates and Seasonal Macrolide Use. The Journal of Infectious Diseases. 219(4). 619–623. 33 indexed citations

19.

Kanjilal, Sanjat, Mohamad Sater, Georgia Lagoudas, et al.. (2017). Trends in Antibiotic Susceptibility in Staphylococcus aureus in Boston, Massachusetts, from 2000 to 2014. Journal of Clinical Microbiology. 56(1). 37 indexed citations

20.

Peak, Corey M., Lauren M. Childs, Yonatan H. Grad, & Caroline O. Buckee. (2017). Comparing nonpharmaceutical interventions for containing emerging epidemics. Proceedings of the National Academy of Sciences. 114(15). 4023–4028. 156 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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