Maciej Jabłkowski

2.0k total citations
46 papers, 519 citations indexed

About

Maciej Jabłkowski is a scholar working on Epidemiology, Hepatology and Molecular Biology. According to data from OpenAlex, Maciej Jabłkowski has authored 46 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Epidemiology, 22 papers in Hepatology and 10 papers in Molecular Biology. Recurrent topics in Maciej Jabłkowski's work include Hepatitis C virus research (19 papers), Liver Disease Diagnosis and Treatment (17 papers) and Hepatitis B Virus Studies (14 papers). Maciej Jabłkowski is often cited by papers focused on Hepatitis C virus research (19 papers), Liver Disease Diagnosis and Treatment (17 papers) and Hepatitis B Virus Studies (14 papers). Maciej Jabłkowski collaborates with scholars based in Poland, United States and Canada. Maciej Jabłkowski's co-authors include Janusz Szemraj, Piotr Czarny, Agata Binienda, Sylwia Ziółkowska, Jolanta Białkowska, Robert Flisiak, Jenny Heathcote, R. Crabbé, Andrzej Horban and Piétro Scalfaro and has published in prestigious journals such as Hepatology, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Maciej Jabłkowski

42 papers receiving 508 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maciej Jabłkowski Poland 9 294 234 156 61 60 46 519
Yuta Wakui Japan 13 276 0.9× 199 0.9× 88 0.6× 60 1.0× 47 0.8× 23 467
Tsutomu Tamai Japan 14 269 0.9× 172 0.7× 98 0.6× 41 0.7× 94 1.6× 37 508
Atsuhiro Morita Japan 10 265 0.9× 258 1.1× 117 0.8× 38 0.6× 44 0.7× 13 600
Francesco Santopaolo Italy 15 317 1.1× 255 1.1× 206 1.3× 87 1.4× 41 0.7× 44 616
Claire Faulkner United States 10 515 1.8× 217 0.9× 241 1.5× 132 2.2× 128 2.1× 17 691
Yoshihiro Kanbara Japan 13 436 1.5× 297 1.3× 144 0.9× 53 0.9× 119 2.0× 30 739
Apinya Leerapun Thailand 10 253 0.9× 152 0.6× 113 0.7× 36 0.6× 143 2.4× 35 483
Yosuke Aihara Japan 15 340 1.2× 218 0.9× 137 0.9× 34 0.6× 149 2.5× 28 584
Mariam Ziayee United States 2 513 1.7× 356 1.5× 88 0.6× 31 0.5× 151 2.5× 3 635
Kazuyuki Ohata Japan 9 538 1.8× 382 1.6× 101 0.6× 26 0.4× 103 1.7× 16 766

Countries citing papers authored by Maciej Jabłkowski

Since Specialization
Citations

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

Fields of papers citing papers by Maciej Jabłkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maciej Jabłkowski

This figure shows the co-authorship network connecting the top 25 collaborators of Maciej Jabłkowski. A scholar is included among the top collaborators of Maciej Jabłkowski 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 Maciej Jabłkowski. Maciej Jabłkowski 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.
2.
Kasielska‐Trojan, Anna, et al.. (2024). Understanding Covid-19: Digit ratios and duration of oxygen therapy in hospitalized Covid-19 patients. Early Human Development. 189. 105940–105940. 3 indexed citations
3.
Fung, Scott, Calvin Q. Pan, Grace Lai–Hung Wong, et al.. (2023). Atherosclerotic cardiovascular disease risk profile of patients with chronic hepatitis B treated with tenofovir alafenamide or tenofovir disoproxil fumarate for 96 weeks. Alimentary Pharmacology & Therapeutics. 59(2). 217–229. 7 indexed citations
4.
Ziółkowska, Sylwia, Marcin Kosmalski, Janusz Szemraj, et al.. (2023). Single-Nucleotide Polymorphisms in Base-Excision Repair-Related Genes Involved in the Risk of an Occurrence of Non-Alcoholic Fatty Liver Disease. International Journal of Molecular Sciences. 24(14). 11307–11307. 4 indexed citations
5.
Uruska, Aleksandra, et al.. (2023). Indirect insulin resistance markers are associated with non-alcoholic fatty liver disease in type 1 diabetes. Polskie Archiwum Medycyny Wewnętrznej. 133(5). 7 indexed citations
6.
Kasielska‐Trojan, Anna, John T. Manning, Maciej Jabłkowski, et al.. (2022). Right–left digit ratios, a novel form of asymmetry: Patterns of instability in children and relationships to platelet counts and hospitalization in adults with COVID-19. Frontiers in Public Health. 10. 995025–995025. 1 indexed citations
7.
Kasielska‐Trojan, Anna, John T. Manning, Maciej Jabłkowski, et al.. (2022). Digit ratios and their asymmetries as risk factors of developmental instability and hospitalization for COVID-19. Scientific Reports. 12(1). 4573–4573. 3 indexed citations
8.
Poliwczak, Adam Rafał, et al.. (2020). Cardiovascular risk assessment by electrocardiographic Holter monitoring in patients with chronic hepatitis C. Archives of Medical Science. 16(5). 1031–1039. 4 indexed citations
9.
10.
Czarny, Piotr, Anna Merecz-Sadowska, Maciej Jabłkowski, et al.. (2017). The Influence of Hepatitis C Virus Therapy on the DNA Base Excision Repair System of Peripheral Blood Mononuclear Cells. DNA and Cell Biology. 36(7). 535–540. 4 indexed citations
11.
Krupa, Renata, Piotr Czarny, Paulina Wigner, et al.. (2017). The Relationship Between Single-Nucleotide Polymorphisms, the Expression of DNA Damage Response Genes, and Hepatocellular Carcinoma in a Polish Population. DNA and Cell Biology. 36(8). 693–708. 19 indexed citations
12.
Woźniacka, Anna, et al.. (2015). Morbus Behçet – a rare disease in Central Europe. Archives of Medical Science. 6(6). 1189–1196. 6 indexed citations
13.
Białkowska, Jolanta, et al.. (2011). Hepatitis and the polyglandular autoimmune syndrome, type 1. Archives of Medical Science. 3(3). 536–539. 8 indexed citations
14.
Thompson, Amber, M. Diago, Graham R. Foster, et al.. (2010). 53 RELATION BETWEEN SUSTAINED VIROLOGIC RESPONSE AND INSULIN RESISTANCE IN PATIENTS WITH GENOTYPE 1 OR 2/3 CHRONIC HEPATITIS C. Journal of Hepatology. 52. S25–S25. 1 indexed citations
15.
Strzelczyk, Janusz, et al.. (2009). Primary perivascular epithelioid cell tumor (PEComa) of the liver: Report of a case. Surgery Today. 39(10). 916–921. 26 indexed citations
16.
Pawełczyk, Tomasz, Agnieszka Pawełczyk, Jolanta Białkowska, et al.. (2009). [Cognitive disturbances observed in chronic hepatitis C patients during pegylated interferon alpha and ribavirin therapy].. PubMed. 42(6). 925–41. 4 indexed citations
17.
Jabłkowski, Maciej, et al.. (2005). A comparative study of P53/MDM2 genes alterations and P53/MDM2 proteins immunoreactivity in liver cirrhosis and hepatocellular carcinoma.. PubMed. 24(1). 117–25. 19 indexed citations
18.
Jabłkowski, Maciej, et al.. (2004). [Cancer antigen 125 as a marker of ascites in patients with liver cirrhosis].. PubMed. 17 Suppl 1. 149–52. 1 indexed citations
19.
Jabłkowski, Maciej, et al.. (2004). Herpes simplex encephalitis: a case report.. PubMed. 10(8). CS41–5. 2 indexed citations
20.
Sidorkiewicz, M, et al.. (2003). A competitor DNA template for the molecular quantification of the hepatitis B virus.. PubMed. 8(3). 799–808. 2 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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