Marcin Pajkowski
Impact in
- Surgery top 10%
- Lipoproteins and Cardiovascular Health
- Cholesterol and Lipid Metabolism
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- Cardiovascular Health and Risk Factors
- Lipid metabolism and disorders
Papers in
- Surgery 9
- Lipoproteins and Cardiovascular Health 9
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- Nitric Oxide and Endothelin Effects 2
- Sarcoidosis and Beryllium Toxicity Research 1
- Co-authors
- Krzysztof Chlebus (6 shared papers)Marcin Gruchała (4 shared papers)Maria Dudziak (1 shared paper)Marcin Hellmann (3 shared papers)Marcin Fijałkowski (1 shared paper)Magdalena Chmara (3 shared papers)Tomasz Bandurski (1 shared paper)Bartosz Wasąg (1 shared paper)
- Journals
- The Lancet (2 papers)American Heart Journal (1 paper)Atherosclerosis (1 paper)The Lancet Diabetes & Endocrinology (1 paper)Microvascular Research (1 paper)
- Partner nations
- PolandUnited StatesNetherlands
In The Last Decade
Marcin Pajkowski
9 papers receiving 317 citations
Marcin Pajkowski's Hit Papers
Peers
Comparison fields: 5 of 34
- Surgery 288
- Cardiology and Cardiovascular Medicine 22
- Health Informatics 2
- Biological Psychiatry 1
- Clinical Biochemistry 3
Countries citing papers authored by Marcin Pajkowski
This map shows the geographic impact of Marcin Pajkowski'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 Marcin Pajkowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcin Pajkowski more than expected).
Fields of papers citing papers by Marcin Pajkowski
This network shows the impact of papers produced by Marcin Pajkowski. 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 Marcin Pajkowski. The network helps show where Marcin Pajkowski may publish in the future.
Co-authors
The 23 scholars most cited alongside Marcin Pajkowski, 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 | Global perspective of familial hypercholesterolaemia: a cross-sectional study from the EAS Familial Hypercholesterolaemia Studies Collaboration (FHSC) Hit paper breakdown → | 2021 | 232 |
| 2 | 2023 | 45 | |
| 3 | 2016 | 21 | |
| 4 | 2018 | 11 | |
| 5 | 2021 | 11 | |
| 6 | 2024 | 7 | |
| 7 | 2020 | 2 | |
| 8 | 2019 | 1 | |
| 9 | 2021 | 1 | |
| 10 | 2025 | 0 |
About Marcin Pajkowski
Marcin Pajkowski is a scholar working on Surgery, Physiology, Cardiology and Cardiovascular Medicine, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 10 papers that have together received 331 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (9 papers), Nitric Oxide and Endothelin Effects (2 papers), Cardiovascular Health and Disease Prevention (1 paper) and Sarcoidosis and Beryllium Toxicity Research (1 paper). The work is most often cited by research in Surgery (288 citations), Cardiology and Cardiovascular Medicine (22 citations), Health Informatics (2 citations), Biological Psychiatry (1 citation) and Clinical Biochemistry (3 citations). Marcin Pajkowski has collaborated with scholars based in Poland, United States and Netherlands. Frequent co-authors include Krzysztof Chlebus, Marcin Gruchała, Maria Dudziak, Marcin Hellmann, Marcin Fijałkowski, Magdalena Chmara, Tomasz Bandurski, Bartosz Wasąg, Marta Futema and Janusz Limon. Their work appears in journals such as The Lancet, American Heart Journal, Atherosclerosis, The Lancet Diabetes & Endocrinology and Microvascular Research.
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.