Joanna Jabłońska

879 total citations
41 papers, 677 citations indexed

About

Joanna Jabłońska is a scholar working on Hepatology, Epidemiology and Pathology and Forensic Medicine. According to data from OpenAlex, Joanna Jabłońska has authored 41 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Hepatology, 21 papers in Epidemiology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Joanna Jabłońska's work include Hepatitis C virus research (18 papers), Liver Disease Diagnosis and Treatment (17 papers) and Hepatitis B Virus Studies (8 papers). Joanna Jabłońska is often cited by papers focused on Hepatitis C virus research (18 papers), Liver Disease Diagnosis and Treatment (17 papers) and Hepatitis B Virus Studies (8 papers). Joanna Jabłońska collaborates with scholars based in Poland, United States and United Kingdom. Joanna Jabłońska's co-authors include Marek Radkowski, Tomasz Laskus, Jeffrey Wilkinson, Debra Adair, Jorge Rakela, Juan F. Gallegos‐Orozco, Bożena Walewska‐Zielecka, Joanna Kubicka, Thomas V. Colby and Agnieszka Pawełczyk and has published in prestigious journals such as Blood, PLoS ONE and Hepatology.

In The Last Decade

Joanna Jabłońska

38 papers receiving 639 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joanna Jabłońska Poland 12 445 370 78 67 57 41 677
William C. Budell United States 7 134 0.3× 153 0.4× 31 0.4× 69 1.0× 146 2.6× 14 472
Benedetta Campana Switzerland 8 234 0.5× 244 0.7× 30 0.4× 38 0.6× 67 1.2× 13 499
Jeffrey Wilkinson United States 15 1.1k 2.4× 893 2.4× 157 2.0× 151 2.3× 63 1.1× 22 1.3k
R. H. Decker United States 16 612 1.4× 599 1.6× 64 0.8× 127 1.9× 116 2.0× 28 922
C Lavarini Italy 15 736 1.7× 781 2.1× 43 0.6× 117 1.7× 135 2.4× 29 1.0k
Ningjie Hu United States 14 27 0.1× 81 0.2× 27 0.3× 155 2.3× 82 1.4× 18 490
Mark Laughlin United States 9 893 2.0× 813 2.2× 131 1.7× 130 1.9× 85 1.5× 12 1.2k
O Crivelli Italy 14 1.1k 2.4× 1.2k 3.2× 48 0.6× 191 2.9× 206 3.6× 28 1.6k
T. H. Bacon United Kingdom 13 62 0.1× 559 1.5× 79 1.0× 127 1.9× 76 1.3× 18 820
Robert Lagier United States 9 344 0.8× 337 0.9× 55 0.7× 86 1.3× 65 1.1× 23 554

Countries citing papers authored by Joanna Jabłońska

Since Specialization
Citations

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

Fields of papers citing papers by Joanna Jabłońska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joanna Jabłońska

This figure shows the co-authorship network connecting the top 25 collaborators of Joanna Jabłońska. A scholar is included among the top collaborators of Joanna Jabłońska 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 Joanna Jabłońska. Joanna Jabłońska 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
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Alster, Piotr, Bartosz Migda, Alicja Wiercińska‐Drapało, et al.. (2024). The associations between common neuroimaging parameters of Progressive Supranuclear Palsy in magnetic resonance imaging and non-specific inflammatory factors – pilot study. Frontiers in Immunology. 15. 1458713–1458713. 7 indexed citations
3.
Jabłońska, Joanna, et al.. (2019). Hepatopathy of unknown etiology – is liver biopsy a good tool in differential diagnosis?. Archives of Medical Science. 15(6). 1462–1467. 12 indexed citations
4.
Jabłońska, Joanna, et al.. (2018). Significance of Heparin-Binding Protein and D-dimers in the Early Diagnosis of Spontaneous Bacterial Peritonitis. Mediators of Inflammation. 2018. 1–6. 21 indexed citations
5.
Jabłońska, Joanna, Marta Popiel, Iwona Bukowska‐Ośko, et al.. (2017). No evidence of West Nile virus infection among Polish patients with encephalitis. Central European Journal of Immunology. 41(4). 383–385. 7 indexed citations
6.
Jabłońska, Joanna, et al.. (2016). Symptomatic co-infection with <i>Babesia microti</i> and <i>Borrelia burgdorferi</i> in patient after international exposure; a challenging case in Poland. Annals of Agricultural and Environmental Medicine. 23(2). 387–389. 9 indexed citations
7.
Jabłońska, Joanna, et al.. (2015). Neuroimaging and genetic correlates of cognitive dysfunction in multiple sclerosis. Psychiatria Polska. 49(5). 897–910. 2 indexed citations
8.
Jesionek‐Kupnicka, Dorota, Monika Prochorec‐Sobieszek, Anna Szumera‐Ciećkiewicz, et al.. (2015). HLA-G and MHC Class II Protein Expression in Diffuse Large B-Cell Lymphoma. Archivum Immunologiae et Therapiae Experimentalis. 64(3). 225–240. 10 indexed citations
9.
Pawełczyk, Agnieszka, et al.. (2013). Detection of hepatitis C virus (HCV) negative strand RNA and NS3 protein in peripheral blood mononuclear cells (PBMC): CD3+, CD14+ and CD19+. Virology Journal. 10(1). 346–346. 42 indexed citations
10.
Abramczyk, Halina, Beata Brożek-Płuska, Jakub Surmacki, Joanna Jabłońska, & Radzisław Kordek. (2011). The label-free Raman imaging of human breast cancer. Journal of Molecular Liquids. 164(1-2). 123–131. 59 indexed citations
11.
Jabłońska, Joanna, Dorota Jesionek‐Kupnicka, Piotr Potemski, et al.. (2010). Comparison of two different immunohistochemical algorithms identifying prognostic subgroups of DLBCL.. PubMed. 61(3). 124–32. 6 indexed citations
12.
13.
Walewska‐Zielecka, Bożena, et al.. (2008). Composition of inflammatory infiltrate and its correlation with HBV/HCV antigen expression. World Journal of Gastroenterology. 14(25). 4040–4040. 13 indexed citations
14.
Jabłońska, Joanna & Jakub Ząbek. (2005). [New markers of autoimmunity against joints and salivary glands in HCV infected patients].. PubMed. 59(2). 439–46. 1 indexed citations
15.
Radkowski, Marek, Juan F. Gallegos‐Orozco, Joanna Jabłońska, et al.. (2005). Persistence of hepatitis C virus in patients successfully treated for chronic hepatitis C. Hepatology. 41(1). 106–114. 234 indexed citations
16.
Adair, Debra, Marek Radkowski, Joanna Jabłońska, et al.. (2005). Differential display analysis of gene expression in brains from hepatitis C-infected patients. AIDS. 19(Suppl 3). S145–S150. 14 indexed citations
17.
Radkowski, Marek, Andrzej Horban, Juan F. Gallegos‐Orozco, et al.. (2005). Evidence for Viral Persistence in Patients Who Test Positive for Anti–Hepatitis C Virus Antibodies and Have Normal Alanine Aminotransferase Levels. The Journal of Infectious Diseases. 191(10). 1730–1733. 40 indexed citations
18.
Kozłowska, Joanna, et al.. (2001). [Biochemical markers of fibrosis in chronic hepatitis and liver cirrhosis of viral origin].. PubMed. 55(4). 451–8. 8 indexed citations
19.
Juszczyk, Jacek, Beata Bolewska, J Cianciara, et al.. (2000). Combination therapy with interferon alpha-2b and ribavirin in naive patients with chronic hepatitis C. Journal of Hepatology. 32. 199–199. 5 indexed citations
20.
Jabłońska, Joanna, et al.. (1990). The influence of carbaryl on the uptake of (3H)-noradrenaline (3H)-NA by rat hypothalamic slices. Archives of Toxicology. 64(5). 417–419. 1 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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