Miroslav Kapuscinski
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- Neuropeptides and Animal Physiology 2
- Nerve injury and regeneration 2
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- Genetic Associations and Epidemiology 2
- BRCA gene mutations in cancer 2
- Chronic Lymphocytic Leukemia Research 2
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- Histone Deacetylase Inhibitors Research 2
- Epigenetics and DNA Methylation 2
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- Apelin-related biomedical research 2
- Co-authors
- Stephen HarrapMichael G. McLaughlinHoward J. JacobFadi J. CharcharArthur ShulkesK. J. HardyGrant A. MitchellBrendan T. Innes
- Journals
- Hypertension (3 papers)Journal of Hypertension (1 paper)Bone Marrow Transplantation (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Miroslav Kapuscinski
10 papers receiving 163 citations
Peers
Comparison fields: 5 of 44
- Aging 9
- Cardiology and Cardiovascular Medicine 66
- Cellular and Molecular Neuroscience 40
- Developmental Neuroscience 8
- Endocrinology, Diabetes and Metabolism 27
Countries citing papers authored by Miroslav Kapuscinski
This map shows the geographic impact of Miroslav Kapuscinski'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 Miroslav Kapuscinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miroslav Kapuscinski more than expected).
Fields of papers citing papers by Miroslav Kapuscinski
This network shows the impact of papers produced by Miroslav Kapuscinski. 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 Miroslav Kapuscinski. The network helps show where Miroslav Kapuscinski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Miroslav Kapuscinski, 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 | 2018 | 7 | |
| 2 | 2018 | 5 | |
| 3 | 2015 | 2 | |
| 4 | 2010 | 3 | |
| 5 | 2010 | 4 | |
| 6 | 2007 | 0 | |
| 7 | 1998 | 8 | |
| 8 | 1998 | 14 | |
| 9 | 1998 | 71 | |
| 10 | 1996 | 31 | |
| 11 | 1990 | 22 |
About Miroslav Kapuscinski
Miroslav Kapuscinski is a scholar working on Aging, Genetics, Cellular and Molecular Neuroscience, Microbiology and Pharmacology, having authored 11 papers that have together received 167 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (2 papers), BRCA gene mutations in cancer (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Epigenetics and DNA Methylation (2 papers), Neuropeptides and Animal Physiology (2 papers), Nerve injury and regeneration (2 papers) and Apelin-related biomedical research (2 papers). The work is most often cited by research in Aging (9 citations), Cardiology and Cardiovascular Medicine (66 citations), Cellular and Molecular Neuroscience (40 citations), Developmental Neuroscience (8 citations) and Endocrinology, Diabetes and Metabolism (27 citations). Miroslav Kapuscinski has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Stephen Harrap, Michael G. McLaughlin, Howard J. Jacob, Fadi J. Charchar, Arthur Shulkes, K. J. Hardy, Grant A. Mitchell, Brendan T. Innes, Trevor R. Norman and Faith Kwa. Their work appears in journals such as Hypertension, Journal of Hypertension, Bone Marrow Transplantation, BMC Cancer and Current Molecular Pharmacology.
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.