Przemysław Ślusarczyk

22.3k citations
9 papers · 540 indexed · 1 hit paper · h-index 7

Przemysław Ślusarczyk

9 papers receiving 534 citations

Hit Papers

Interleukin-6 and C-reactive protein, successful aging, a...3222016202620192022100200300

Peers

Przemysław Ślusarczyk
Comparison fields: 5 of 90
  • Geriatrics and Gerontology 68
  • Aging 22
  • Biological Psychiatry 24
  • Neuropsychology and Physiological Psychology 13
  • Physiology 168
Replace H. J. Cohen with:
H. J. Cohen United States
Lana Fani Netherlands
M. Garcia United States
Alper Döventaş Türkiye
Crystal Tze Ying Tan Singapore
Camilla Prete Italy
Cristina Buigues Spain
Nikolaus Buchmann Germany
Cathy C. Lee United States
Przemysław Ślusarczyk relative to H. J. Cohen United States H. J. Cohen's profile →
Citations per field
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H. J. Cohen · 1×
Citations per year

Countries citing papers authored by Przemysław Ślusarczyk

Since Specialization
Citations

This map shows the geographic impact of Przemysław Ślusarczyk'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 Przemysław Ślusarczyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Przemysław Ślusarczyk more than expected).

Fields of papers citing papers by Przemysław Ślusarczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Przemysław Ślusarczyk. 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 Przemysław Ślusarczyk. The network helps show where Przemysław Ślusarczyk may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Przemysław Ślusarczyk, 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 Przemysław Ślusarczyk Line = papers co-authored together Przemysław Ślusarczyk links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 20182
2 201837
3 20186
4 201747
5
Interleukin-6 and C-reactive protein, successful aging, and mortality: the PolSenior studybreakdown →
2016322
6 201640
7 201638
8 201629
9 201419

About Przemysław Ślusarczyk

Przemysław Ślusarczyk is a scholar working on Aging, Geriatrics and Gerontology and Behavioral Neuroscience, having authored 9 papers that have together received 540 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (2 papers), Nutritional Studies and Diet (2 papers), Health disparities and outcomes (2 papers), Stress Responses and Cortisol (1 paper), Sodium Intake and Health (1 paper), Pain Management and Opioid Use (1 paper), Fibromyalgia and Chronic Fatigue Syndrome Research (1 paper) and Adipose Tissue and Metabolism (1 paper). The work is most often cited by research in Geriatrics and Gerontology (68 citations), Aging (22 citations) and Biological Psychiatry (24 citations). Przemysław Ślusarczyk has collaborated with scholars based in Poland, United Kingdom and Israel. Frequent co-authors include Monika Puzianowska‐Kuźnicka, Małgorzata Mossakowska, Magdalena Owczarz, Jerzy Chudek, Katarzyna Wieczorowska–Tobis, Anna Skalska, Marta Jonas, Edward Franek, Paweł Nadrowski and Aleksandra Szybalska. Their work appears in journals such as Journal of Hypertension, Archives of Gerontology and Geriatrics, Archives of Medical Science, BMC Geriatrics and Experimental Gerontology.

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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