Yonatan H. Grad
- Infectious Diseases top 0.5%
- Modeling and Simulation top 0.05%
- Microbiology top 0.1%
- Molecular Biology top 5%
- Epidemiology top 2%
- Co-authors
- Marc LipsitchStephen M. KisslerChristine TedijantoEdward GoldsteinGeorge M. ChurchScott W. OlesenGary RuvkunGabriel D. Hayes
- Topics
- Reproductive tract infections research (51 papers)Bacterial Infections and Vaccines (38 papers)Syphilis Diagnosis and Treatment (25 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Yonatan H. Grad
138 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 186
- Infectious Diseases 2.3k
- Modeling and Simulation 1.9k
- Microbiology 1.5k
- Molecular Biology 1.5k
- Epidemiology 1.4k
Countries citing papers authored by Yonatan H. Grad
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 17 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic periodbreakdown → | 1642 |
| 9 | 18 | |
| 10 | 9 | |
| 11 | 10 | |
| 12 | 27 | |
| 13 | 21 | |
| 14 | 29 | |
| 15 | 65 | |
| 16 | 33 | |
| 17 | 37 | |
| 18 | 127 | |
| 19 | 37 | |
| 20 | 156 |
About Yonatan H. Grad
Yonatan H. Grad is a scholar working on Microbiology, Applied Microbiology and Biotechnology and Modeling and Simulation, having authored 142 papers that have together received 7.6k indexed citations. Recurring topics across this work include Reproductive tract infections research (51 papers), Bacterial Infections and Vaccines (38 papers) and Syphilis Diagnosis and Treatment (25 papers). The work is most often cited by research in Modeling and Simulation (1.9k citations), Microbiology (1.5k citations) and Applied Microbiology and Biotechnology (321 citations). Yonatan H. Grad has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Marc Lipsitch, Stephen M. Kissler, Christine Tedijanto, Edward Goldstein, George M. Church, Scott W. Olesen, Gary Ruvkun, Gabriel D. Hayes, John Kim and Daniel B. Larremore. Their work appears in journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.