Adam Przybyłkowski

1.4k total citations
73 papers, 891 citations indexed

About

Adam Przybyłkowski is a scholar working on Nutrition and Dietetics, Health, Toxicology and Mutagenesis and Surgery. According to data from OpenAlex, Adam Przybyłkowski has authored 73 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Nutrition and Dietetics, 22 papers in Health, Toxicology and Mutagenesis and 20 papers in Surgery. Recurrent topics in Adam Przybyłkowski's work include Trace Elements in Health (30 papers), Heavy Metal Exposure and Toxicity (21 papers) and Iron Metabolism and Disorders (7 papers). Adam Przybyłkowski is often cited by papers focused on Trace Elements in Health (30 papers), Heavy Metal Exposure and Toxicity (21 papers) and Iron Metabolism and Disorders (7 papers). Adam Przybyłkowski collaborates with scholars based in Poland, Germany and United States. Adam Przybyłkowski's co-authors include Anna Członkowska, Iwona Kurkowska‐Jastrzębska, Andrzej Członkowski, Grażyna Gromadzka, Tomasz Litwin, Agnieszka Ciesielska, Ilona Joniec‐Maciejak, Marta Skowrońska, Jan Bembenek and Grzegorz Chabik and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Brain Research.

In The Last Decade

Adam Przybyłkowski

65 papers receiving 874 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Adam Przybyłkowski Poland 18 358 220 198 191 183 73 891
Francesca Punzo Italy 18 234 0.7× 178 0.8× 105 0.5× 54 0.3× 83 0.5× 30 1.1k
Serena Bucossi Italy 17 640 1.8× 389 1.8× 115 0.6× 100 0.5× 54 0.3× 23 976
Victoria Tapia Chile 21 552 1.5× 132 0.6× 175 0.9× 186 1.0× 116 0.6× 28 1.4k
Zhifeng Qi China 25 168 0.5× 81 0.4× 325 1.6× 486 2.5× 136 0.7× 49 1.4k
F Yoshimasu Japan 12 238 0.7× 87 0.4× 224 1.1× 123 0.6× 74 0.4× 32 945
Yan Chang China 16 220 0.6× 43 0.2× 77 0.4× 63 0.3× 77 0.4× 36 938
Yongmei Zhao China 17 134 0.4× 61 0.3× 81 0.4× 217 1.1× 62 0.3× 27 795
R. Palm Sweden 11 158 0.4× 97 0.4× 276 1.4× 38 0.2× 151 0.8× 20 742
Dae Ki Hong South Korea 15 146 0.4× 55 0.3× 52 0.3× 104 0.5× 104 0.6× 30 573
Kaila S. Srai United Kingdom 14 128 0.4× 19 0.1× 142 0.7× 80 0.4× 88 0.5× 24 880

Countries citing papers authored by Adam Przybyłkowski

Since Specialization
Citations

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

Fields of papers citing papers by Adam Przybyłkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Przybyłkowski

This figure shows the co-authorship network connecting the top 25 collaborators of Adam Przybyłkowski. A scholar is included among the top collaborators of Adam Przybyłkowski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Adam Przybyłkowski. Adam Przybyłkowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Placha, Grzegorz, et al.. (2025). Collagen (rs3134646) and ARHGAP15 (rs4662344) genetic variants may predispose to colonic diverticulosis. Advances in Medical Sciences. 70(2). 231–236. 1 indexed citations
2.
Przybyłkowski, Adam, et al.. (2025). Cross-Sectional Study of Serum Galectin-3 Levels in Patients with Type 2 Diabetes and Colorectal Polyps. International Journal of Molecular Sciences. 26(16). 7662–7662.
3.
Przybyłkowski, Adam, et al.. (2025). Genetics of Gallstones. Genes. 16(3). 256–256.
4.
Szczerbowska‐Boruchowska, Magdalena, et al.. (2024). Effect of primary copper metabolism disturbance on elemental, protein, and lipid composition of the organs in Jackson toxic milk mouse. BioMetals. 38(1). 103–121. 1 indexed citations
5.
Kraj, Leszek, et al.. (2024). Correlation Between Antihypertensive Drugs and Survival Among Patients with Pancreatic Ductal Adenocarcinoma. Cancers. 16(23). 3945–3945. 1 indexed citations
6.
Litwin, Tomasz, et al.. (2024). Brain Magnetic Resonance Imaging in Wilson’s Disease—Significance and Practical Aspects—A Narrative Review. Brain Sciences. 14(7). 727–727. 3 indexed citations
7.
Kowalski, Michał & Adam Przybyłkowski. (2024). Prevention of Bacterial Infection in Biliary and Pancreatic Endoscopy—A Review. Diagnostics. 14(24). 2806–2806. 1 indexed citations
8.
Gromadzka, Grażyna, et al.. (2024). Wilson’s Disease—Crossroads of Genetics, Inflammation and Immunity/Autoimmunity: Clinical and Molecular Issues. International Journal of Molecular Sciences. 25(16). 9034–9034. 10 indexed citations
9.
Przybyłkowski, Adam, et al.. (2023). Endoscopic Treatment of Malignant Hilar Biliary Obstruction. Cancers. 15(24). 5819–5819. 4 indexed citations
10.
Gromadzka, Grażyna, et al.. (2023). Monitoring of Copper in Wilson Disease. Diagnostics. 13(11). 1830–1830. 25 indexed citations
11.
Litwin, Tomasz, Jan Bembenek, Adam Przybyłkowski, et al.. (2023). Copper Deficiency as Wilson’s Disease Overtreatment: A Systematic Review. Diagnostics. 13(14). 2424–2424. 12 indexed citations
12.
Litwin, Tomasz, Adam Przybyłkowski, Jan Bembenek, et al.. (2022). Biomarkers of the central nervous system injury in Wilson’s disease. 38(2). 119–139. 4 indexed citations
13.
Niewada, Maciej, et al.. (2022). Early predictors of liver injury in patients on parenteral nutrition. Clinical Nutrition ESPEN. 51. 319–322. 7 indexed citations
14.
Członkowska, Anna, Jan Bembenek, Iwona Kurkowska‐Jastrzębska, et al.. (2022). Pathognomonic neuroradiological signs in Wilson's disease – Truth or myth?. Parkinsonism & Related Disorders. 107. 105247–105247. 9 indexed citations
15.
Przybyłkowski, Adam, et al.. (2020). Review of parenteral nutrition-associated liver disease. Clinical and Experimental Hepatology. 6(2). 65–73. 20 indexed citations
16.
Członkowska, Anna, et al.. (2019). Gastropathy in patients with Wilson disease. Scandinavian Journal of Gastroenterology. 55(1). 14–17. 10 indexed citations
17.
Mrozikiewicz‐Rakowska, Beata, Joanna Bartkowiak-Wieczorek, Anna Bogacz, et al.. (2017). The MDR1/ABCB1 gene rs 1045642 polymorphism in colorectal cancer. Archives of Medical Science. 16(1). 112–117. 8 indexed citations
18.
Przybyłkowski, Adam, Grażyna Gromadzka, & Anna Członkowska. (2013). Polymorphisms of metal transporter genes DMT1 and ATP7A in Wilson's disease. Journal of Trace Elements in Medicine and Biology. 28(1). 8–12. 17 indexed citations
19.
Kurkowska‐Jastrzębska, Iwona, Tomasz Litwin, Ilona Joniec‐Maciejak, et al.. (2004). Dexamethasone protects against dopaminergic neurons damage in a mouse model of Parkinson's disease. International Immunopharmacology. 4(10-11). 1307–1318. 99 indexed citations
20.
Ciesielska, Agnieszka, Ilona Joniec‐Maciejak, Adam Przybyłkowski, et al.. (2003). Dynamics of expression of the mRNA for cytokines and inducible nitric synthase in a murine model of the Parkinson's disease. Acta Neurobiologiae Experimentalis. 63(2). 117–126. 52 indexed citations

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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