Ilya Kashnitsky
- General Health Professions top 5%
- Health top 5%
- Demography top 2%
- Modeling and Simulation top 2%
- Economics and Econometrics top 10%
- Co-authors
- José Manuel AburtoJennifer B. DowdJonas SchöleyRidhi KashyapMelinda MillsLuyin ZhangCharles RahalTrifon I. Missov
- Topics
- Global Health Care Issues (12 papers)Health disparities and outcomes (12 papers)Insurance, Mortality, Demography, Risk Management (11 papers)
- Journals
- Proceedings of the National Academy of SciencesInternational Journal of EpidemiologyWorld Development
- Partner nations
- DenmarkRussiaNetherlands
In The Last Decade
Ilya Kashnitsky
22 papers receiving 736 citations
Hit Papers
Peers
Comparison fields: 5 of 107
- General Health Professions 306
- Health 221
- Demography 183
- Modeling and Simulation 151
- Economics and Econometrics 147
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 of co-authors of Ilya Kashnitsky
This figure shows the co-authorship network connecting the top 25 collaborators of Ilya Kashnitsky. A scholar is included among the top collaborators of Ilya Kashnitsky 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 Ilya Kashnitsky. Ilya Kashnitsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 115 | |
| 4 | Life expectancy changes since COVID-19breakdown → | 138 |
| 5 | 6 | |
| 6 | 10 | |
| 7 | Quantifying impacts of the COVID-19 pandemic through life-expectancy losses: a population-level study of 29 countriesbreakdown → | 217 |
| 8 | 51 | |
| 9 | 3 | |
| 10 | 46 | |
| 11 | 37 | |
| 12 | 16 | |
| 13 | 1 | |
| 14 | Demography and the Coronavirus Pandemic | 6 |
| 15 | 7 | |
| 16 | 16 | |
| 17 | 23 | |
| 18 | 48 | |
| 19 | 11 | |
| 20 | 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) and Insurance, Mortality, Demography, Risk Management (11 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.