Ilya Kashnitsky

1.8k total citations · 2 hit papers
25 papers, 795 citations indexed

About

Ilya Kashnitsky is a scholar working on Demography, General Health Professions and Health. According to data from OpenAlex, Ilya Kashnitsky has authored 25 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Demography, 14 papers in General Health Professions and 12 papers in Health. Recurrent topics in Ilya Kashnitsky's work include Global Health Care Issues (12 papers), Health disparities and outcomes (12 papers) and Insurance, Mortality, Demography, Risk Management (11 papers). Ilya Kashnitsky is often cited by papers focused on Global Health Care Issues (12 papers), Health disparities and outcomes (12 papers) and Insurance, Mortality, Demography, Risk Management (11 papers). Ilya Kashnitsky collaborates with scholars based in Denmark, Russia and Netherlands. Ilya Kashnitsky's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, International Journal of Epidemiology and World Development.

In The Last Decade

Ilya Kashnitsky

22 papers receiving 736 citations

Hit Papers

Quantifying impacts of th... 2021 2026 2022 2024 2021 2022 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ilya Kashnitsky Denmark 12 306 221 183 151 147 25 795
Tim Riffe Germany 11 304 1.0× 236 1.1× 199 1.1× 116 0.8× 89 0.6× 33 692
Bernardo Lanza Queiroz Brazil 16 429 1.4× 248 1.1× 202 1.1× 61 0.4× 111 0.8× 100 941
Magali Barbiéri France 17 484 1.6× 290 1.3× 270 1.5× 67 0.4× 118 0.8× 79 1.2k
Theresa Andrasfay United States 12 306 1.0× 256 1.2× 53 0.3× 105 0.7× 92 0.6× 23 719
Maria Brandén Sweden 16 174 0.6× 168 0.8× 239 1.3× 188 1.2× 115 0.8× 43 969
José Manuel Aburto Denmark 17 758 2.5× 607 2.7× 457 2.5× 120 0.8× 146 1.0× 53 1.3k
Eleonora Mussino Sweden 17 234 0.8× 153 0.7× 341 1.9× 160 1.1× 106 0.7× 71 1.1k
Ariel Karlinsky Israel 7 206 0.7× 130 0.6× 36 0.2× 240 1.6× 109 0.7× 9 888
Liliana Andriano United Kingdom 7 139 0.5× 128 0.6× 37 0.2× 337 2.2× 209 1.4× 11 715
Catia Nicodemo United Kingdom 13 212 0.7× 90 0.4× 37 0.2× 58 0.4× 148 1.0× 74 603

Countries citing papers authored by Ilya Kashnitsky

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
2.
Strozza, Cosmo, et al.. (2024). Mortality inequalities at retirement age between migrants and non-migrants in Denmark and Sweden. Demographic Research. 50. 473–502. 2 indexed citations
3.
Levin, Andrew, Nana Owusu‐Boaitey, Bailey K. Fosdick, et al.. (2022). Assessing the burden of COVID-19 in developing countries: systematic review, meta-analysis and public policy implications. BMJ Global Health. 7(5). e008477–e008477. 115 indexed citations
4.
Schöley, Jonas, José Manuel Aburto, Ilya Kashnitsky, et al.. (2022). Life expectancy changes since COVID-19. Nature Human Behaviour. 6(12). 1649–1659. 138 indexed citations breakdown →
5.
Bergeron-Boucher, Marie-Pier, et al.. (2022). Probability of males to outlive females: an international comparison from 1751 to 2020. BMJ Open. 12(8). e059964–e059964. 6 indexed citations
6.
Aburto, José Manuel, Jonas Schöley, Ilya Kashnitsky, & Ridhi Kashyap. (2022). Life expectancy declines in Russia during the COVID-19 pandemic in 2020. International Journal of Epidemiology. 51(5). 1695–1697. 10 indexed citations
7.
Zarulli, Virginia, Ilya Kashnitsky, & James W. Vaupel. (2021). Death rates at specific life stages mold the sex gap in life expectancy. Proceedings of the National Academy of Sciences. 118(20). 51 indexed citations
8.
Aburto, José Manuel, Jonas Schöley, Ilya Kashnitsky, et al.. (2021). Quantifying impacts of the COVID-19 pandemic through life-expectancy losses: a population-level study of 29 countries. International Journal of Epidemiology. 51(1). 63–74. 217 indexed citations breakdown →
9.
Vaupel, James W., Marie-Pier Bergeron-Boucher, & Ilya Kashnitsky. (2021). Outsurvival as a measure of the inequality of lifespans between two populations. Demographic Research. 44. 853–864. 13 indexed citations
10.
Kashnitsky, Ilya, Joop de Beer, & Leo van Wissen. (2020). Unequally ageing regions of Europe: Exploring the role of urbanization. Population Studies. 75(2). 221–237. 16 indexed citations
11.
Kashnitsky, Ilya & José Manuel Aburto. (2020). The pandemic threatens aged rural regions most. RePEc: Research Papers in Economics. 3 indexed citations
12.
Kashnitsky, Ilya & José Manuel Aburto. (2020). COVID-19 in unequally ageing European regions. World Development. 136. 105170–105170. 37 indexed citations
13.
Verhagen, Mark D., David M. Brazel, Jennifer B. Dowd, Ilya Kashnitsky, & Melinda Mills. (2020). Forecasting spatial, socioeconomic and demographic variation in COVID-19 health care demand in England and Wales. BMC Medicine. 18(1). 203–203. 46 indexed citations
15.
Balbo, Nicoletta, Ilya Kashnitsky, Alessia Melegaro, et al.. (2020). Demography and the Coronavirus Pandemic. Data Archiving and Networked Services (DANS). 6 indexed citations
16.
Kashnitsky, Ilya & José Manuel Aburto. (2019). Geofaceting: Aligning small-multiples for regions in a spatially meaningful way. Demographic Research. 41. 477–490. 7 indexed citations
17.
Kashnitsky, Ilya. (2018). Russian periphery is dying in movement: a cohort assessment of internal youth migration in Central Russia. GeoJournal. 85(1). 173–185. 16 indexed citations
18.
Kashnitsky, Ilya, Joop de Beer, & Leo van Wissen. (2017). Decomposition of regional convergence in population aging across Europe. Genus. 73(1). 2–2. 23 indexed citations
19.
Kashnitsky, Ilya, et al.. (2016). Interregional Migration of Youths in Russia: A Comprehensive Analysis of Demographic Statistics. Voprosy Obrazovaniya/ Educational Studies Moscow. 169–203. 48 indexed citations
20.
Kashnitsky, Ilya. (2013). Migration of Youths in Russia: Impact on Sex-age Structures. Mediterranean Journal of Social Sciences. 4 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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