Leonid Chindelevitch
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Genomics and Phylogenetic Studies 15
- Bioinformatics and Genomic Networks 9
- Microbial Metabolic Engineering and Bioproduction 7
- Gene Regulatory Network Analysis 4
-
- Tuberculosis Research and Epidemiology 12
- Co-authors
- Jan Kulveit (1 shared paper)Bonnie Berger (7 shared papers)Alexander John Norman (1 shared paper)George Altman (1 shared paper)Joshua Teperowski Monrad (1 shared paper)Tomáš Gavenčiak (1 shared paper)Yee Whye Teh (1 shared paper)John Salvatier (1 shared paper)
- Journals
- Bioinformatics (5 papers)BMC Bioinformatics (4 papers)Microbial Genomics (3 papers)Nature Communications (2 papers)PLoS Computational Biology (2 papers)
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
Leonid Chindelevitch
46 papers receiving 1.1k citations
Leonid Chindelevitch's Hit Papers
Peers
Comparison fields: 5 of 134
- Modeling and Simulation 453
- Infectious Diseases 309
- Health 73
- Economics and Econometrics 218
- Epidemiology 226
Countries citing papers authored by Leonid Chindelevitch
This map shows the geographic impact of Leonid Chindelevitch'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 Leonid Chindelevitch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonid Chindelevitch more than expected).
Fields of papers citing papers by Leonid Chindelevitch
This network shows the impact of papers produced by Leonid Chindelevitch. 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 Leonid Chindelevitch. The network helps show where Leonid Chindelevitch may publish in the future.
Co-authors
The 25 scholars most cited alongside Leonid Chindelevitch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Inferring the effectiveness of government interventions against COVID-19 Hit paper breakdown → | 2020 | 630 |
| 2 | 2012 | 104 | |
| 3 | 2013 | 42 | |
| 4 | 2016 | 39 | |
| 5 | 2018 | 36 | |
| 6 | 2014 | 34 | |
| 7 | 2012 | 30 | |
| 8 | 2009 | 28 | |
| 9 | 2006 | 21 | |
| 10 | 2008 | 15 | |
| 11 | 2024 | 14 | |
| 12 | 2021 | 13 | |
| 13 | 2019 | 12 | |
| 14 | 2018 | 11 | |
| 15 | 2016 | 11 | |
| 16 | 2015 | 8 | |
| 17 | 2012 | 8 | |
| 18 | 2022 | 8 | |
| 19 | 2021 | 7 | |
| 20 | 2018 | 7 |
About Leonid Chindelevitch
Leonid Chindelevitch is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Genetics and Plant Science, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (15 papers), Tuberculosis Research and Epidemiology (12 papers), Bioinformatics and Genomic Networks (9 papers), Mycobacterium research and diagnosis (8 papers), Microbial Metabolic Engineering and Bioproduction (7 papers), Genome Rearrangement Algorithms (6 papers), Antibiotic Resistance in Bacteria (5 papers) and Gene Regulatory Network Analysis (4 papers). The work is most often cited by research in Modeling and Simulation (453 citations), Infectious Diseases (309 citations), Health (73 citations), Economics and Econometrics (218 citations) and Epidemiology (226 citations). Leonid Chindelevitch has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Jan Kulveit, Bonnie Berger, Alexander John Norman, George Altman, Joshua Teperowski Monrad, Tomáš Gavenčiak, Yee Whye Teh, John Salvatier, Jan Brauner and David Johnston. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, Microbial Genomics, Nature Communications and PLoS Computational Biology.
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.