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Michał Wysocki

ResearcherPublications, citations & collaboration network

Michał Wysocki is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 172 works, 3,332 citations, an h-index of 32 and an i10-index of 79.

172
Works
3,332
Citations
32
h-index
79
i10-index

How has Michał Wysocki's publication output changed over time?

ScholarIQpublication output · 2008–2020

Output declined50% over the shown period — from 2 works in 2008 to 1 in 2020.

2
1
1
3
2
1
1
2008201320162017201820192020

What are the most-cited papers on Michał Wysocki?

ScholarIQmost cited works
Enhanced Recovery after Bariatric Surgery: Systematic Review and Meta-Analysis
Piotr Małczak, Magdalena Pisarska, Piotr Major, Michał Wysocki, Andrzej Budzyński, Michał Pędziwiatr
Obesity Surgery. 2016299 CitationsOPEN ACCESS
Molecular genetics of the swine major histocompatibility complex, the SLA complex
Joan K. Lunney, Chak‐Sum Ho, Michał Wysocki, Douglas M. Smith
S81563257. 2008200 Citations
Enhanced recovery after surgery protocol in oesophageal cancer surgery: Systematic review and meta-analysis
Magdalena Pisarska, Piotr Małczak, Piotr Major, Michał Wysocki, Andrzej Budzyński, Michał Pędziwiatr
PLoS ONE. 2017105 CitationsOPEN ACCESS
Assessment of the genomic variation in a cattle population by re-sequencing of key animals at low to medium coverage
Sandra Jansen, Bernhard Aigner, Hubert Pausch, Michał Wysocki, Sebastian Eck, Anna Benet‐Pagès, Elisabeth Graf, Thomas Wieland, Tim M. Strom, Thomas Meitinger, Ruedi Fries
S28614077. 201385 CitationsOPEN ACCESS

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Enhanced Recovery after Bariatric Surgery: Systematic Review and Meta-Analysis
Paper
Molecular genetics of the swine major histocompatibility complex, the SLA complex
Paper
Adipose-Derived Mesenchymal Stem Cells Isolated from Patients with Type 2 Diabetes Show Reduced “Stemness” through an Altered Secretome Profile, Impaired Anti-Oxidative Protection, and Mitochondrial Dynamics Deterioration
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Enhanced recovery after surgery protocol in oesophageal cancer surgery: Systematic review and meta-analysis
Paper
Assessment of the genomic variation in a cattle population by re-sequencing of key animals at low to medium coverage
Paper
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