Ilya Kashnitsky
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 3
- Health top 5%
- Health disparities and outcomes 12
- Demography top 2%
- Insurance, Mortality, Demography, Risk Management 11
- Regional Socio-Economic Development Trends 4
- Migration, Aging, and Tourism Studies 3
- General Health Professions top 5%
- Global Health Care Issues 12
- Employment and Welfare Studies 4
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- Urban, Neighborhood, and Segregation Studies 2
- Co-authors
- José Manuel AburtoJennifer B. DowdJonas SchöleyRidhi KashyapMelinda MillsLuyin ZhangCharles RahalTrifon I. Missov
- Journals
- Proceedings of the National Academy of Sciences (1 paper)International Journal of Epidemiology (2 papers)World Development (1 paper)
- Partner nations
- DenmarkRussiaNetherlands
In The Last Decade
Ilya Kashnitsky
22 papers receiving 736 citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Modeling and Simulation 151
- Health 221
- Demography 183
- General Health Professions 306
- Health, Toxicology and Mutagenesis 95
Countries citing papers authored by Ilya Kashnitsky
This map shows the geographic impact of Ilya Kashnitsky'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 Ilya Kashnitsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ilya Kashnitsky more than expected).
Fields of papers citing papers by Ilya Kashnitsky
This network shows the impact of papers produced by Ilya Kashnitsky. 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 Ilya Kashnitsky. The network helps show where Ilya Kashnitsky may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ilya Kashnitsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2022 | 115 | |
| 4 | Life expectancy changes since COVID-19breakdown → | 2022 | 138 |
| 5 | 2022 | 6 | |
| 6 | 2022 | 10 | |
| 7 | Quantifying impacts of the COVID-19 pandemic through life-expectancy losses: a population-level study of 29 countriesbreakdown → | 2021 | 217 |
| 8 | 2021 | 51 | |
| 9 | 2020 | 3 | |
| 10 | 2020 | 46 | |
| 11 | 2020 | 37 | |
| 12 | 2020 | 16 | |
| 13 | 2020 | 1 | |
| 14 | Demography and the Coronavirus Pandemic | 2020 | 6 |
| 15 | 2019 | 7 | |
| 16 | 2018 | 16 | |
| 17 | 2017 | 23 | |
| 18 | 2016 | 48 | |
| 19 | 2014 | 11 | |
| 20 | 2013 | 4 |
About Ilya Kashnitsky
Ilya Kashnitsky is a scholar working on Health, Demography and Modeling and Simulation, having authored 25 papers that have together received 795 indexed citations. Recurring topics across this work include Global Health Care Issues (12 papers), Health disparities and outcomes (12 papers), Insurance, Mortality, Demography, Risk Management (11 papers), Regional Socio-Economic Development Trends (4 papers), Employment and Welfare Studies (4 papers), COVID-19 epidemiological studies (3 papers), Migration, Aging, and Tourism Studies (3 papers) and Urban, Neighborhood, and Segregation Studies (2 papers). The work is most often cited by research in Modeling and Simulation (151 citations), Health (221 citations) and Demography (183 citations). Ilya Kashnitsky has collaborated with scholars based in Denmark, Russia and Netherlands. Frequent co-authors include José Manuel Aburto, Jennifer B. Dowd, Jonas Schöley, Ridhi Kashyap, Melinda Mills, Luyin Zhang, Charles Rahal, Trifon I. Missov, James W. Vaupel and Virginia Zarulli. Their work appears in journals such as Proceedings of the National Academy of Sciences, International Journal of Epidemiology and World Development.
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.