Marcin Pajkowski

425 citations
7 papers · 39 · h-index 3

Impact in

Papers in

    • Lipoproteins and Cardiovascular Health 6
    • Coronary Interventions and Diagnostics 1
    • Cancer, Lipids, and Metabolism 4

Marcin Pajkowski

6 papers receiving 39 citations

Peers

Marcin Pajkowski
Comparison fields: 5 of 32
  • Endocrinology, Diabetes and Metabolism 12
  • Surgery 28
  • Cancer Research 9
  • Cardiology and Cardiovascular Medicine 10
  • Critical Care and Intensive Care Medicine 2
Replace Xiangfeng Lu with:
Xiangfeng Lu China
Natàlia Andreychuk Spain
Jesús Galiana Spain
Kathrine Aglen Seeberg Norway
Janneke Wittekoek Netherlands
Erik P.A. van Iperen Netherlands
Rosaura Figueras Spain
Virginie Loizeau France
Matija Cevc Slovenia
T. V. Supryadkina Russia
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Citations per field
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Xiangfeng Lu · 1×
Citations per year

Countries citing papers authored by Marcin Pajkowski

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 21 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.

Border = papers with Marcin Pajkowski Line = papers co-authored together Marcin Pajkowski links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 201620
2 20219
3 20186
4 20202
5 20211
6 20191
7 20250

About Marcin Pajkowski

Marcin Pajkowski is a scholar working on Surgery, Cancer Research, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 7 papers that have together received 39 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (6 papers), Cancer, Lipids, and Metabolism (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Atherosclerosis and Cardiovascular Diseases (1 paper), Aortic Thrombus and Embolism (1 paper), Coronary Interventions and Diagnostics (1 paper), Genetic factors in colorectal cancer (1 paper) and Health Systems, Economic Evaluations, Quality of Life (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (12 citations), Surgery (28 citations), Cancer Research (9 citations), Cardiology and Cardiovascular Medicine (10 citations) and Critical Care and Intensive Care Medicine (2 citations). Marcin Pajkowski has collaborated with scholars based in Poland, Netherlands and United States. Frequent co-authors include Krzysztof Chlebus, Marcin Hellmann, Marta Futema, Marcin Fijałkowski, Andrzej Rynkiewicz, Rafał Gałąska, Bartosz Wasąg, Magdalena Chmara, Janusz Limon and Tomasz Bandurski. Their work appears in journals such as Microvascular Research, American Heart Journal, Atherosclerosis, Polskie Archiwum Medycyny Wewnętrznej and Kardiologia Polska.

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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