Anna Bobrus‐Chociej

481 total citations
27 papers, 348 citations indexed

About

Anna Bobrus‐Chociej is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Hepatology. According to data from OpenAlex, Anna Bobrus‐Chociej has authored 27 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Epidemiology, 8 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Hepatology. Recurrent topics in Anna Bobrus‐Chociej's work include Liver Disease Diagnosis and Treatment (18 papers), Diet, Metabolism, and Disease (8 papers) and Fibroblast Growth Factor Research (5 papers). Anna Bobrus‐Chociej is often cited by papers focused on Liver Disease Diagnosis and Treatment (18 papers), Diet, Metabolism, and Disease (8 papers) and Fibroblast Growth Factor Research (5 papers). Anna Bobrus‐Chociej collaborates with scholars based in Poland and Latvia. Anna Bobrus‐Chociej's co-authors include Dariusz Lebensztejn, Marta Flisiak‐Jackiewicz, Irina Kowalska, Małgorzata Wojtkowska, Eugeniusz Tarasów, Ewa Harasim‐Symbor, Adrian Chabowski, M Kaczmarski, Urszula Daniluk and Rafał Płoski and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nutrition and Acta Paediatrica.

In The Last Decade

Anna Bobrus‐Chociej

23 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Bobrus‐Chociej Poland 9 224 104 96 63 56 27 348
Erika Paolini Italy 10 263 1.2× 101 1.0× 130 1.4× 52 0.8× 43 0.8× 27 407
Marta Flisiak‐Jackiewicz Poland 10 262 1.2× 110 1.1× 76 0.8× 49 0.8× 53 0.9× 22 347
Marine Halbron France 9 295 1.3× 215 2.1× 113 1.2× 73 1.2× 37 0.7× 17 419
Christina‐Maria Flessa Greece 7 202 0.9× 72 0.7× 84 0.9× 36 0.6× 25 0.4× 11 319
Jinghua Wang China 11 204 0.9× 116 1.1× 63 0.7× 68 1.1× 57 1.0× 24 391
Eline H. van den Berg Netherlands 14 370 1.7× 230 2.2× 107 1.1× 56 0.9× 57 1.0× 23 515
Pengbo Wu China 9 311 1.4× 90 0.9× 231 2.4× 56 0.9× 25 0.4× 22 473
Martín Garaycoechea Argentina 8 344 1.5× 159 1.5× 165 1.7× 40 0.6× 41 0.7× 11 438
Jilin Zheng China 12 145 0.6× 74 0.7× 158 1.6× 81 1.3× 102 1.8× 26 462
Juna V. Konomi United States 10 351 1.6× 234 2.3× 70 0.7× 51 0.8× 30 0.5× 13 427

Countries citing papers authored by Anna Bobrus‐Chociej

Since Specialization
Citations

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

Fields of papers citing papers by Anna Bobrus‐Chociej

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Bobrus‐Chociej. 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 Anna Bobrus‐Chociej. The network helps show where Anna Bobrus‐Chociej may publish in the future.

Co-authorship network of co-authors of Anna Bobrus‐Chociej

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Bobrus‐Chociej. A scholar is included among the top collaborators of Anna Bobrus‐Chociej 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 Anna Bobrus‐Chociej. Anna Bobrus‐Chociej 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.
Bobrus‐Chociej, Anna, et al.. (2025). Apoptosis markers in children with metabolic-associated fatty liver disease: a preliminary study. Gastroenterology Review. 20(1). 41–47.
2.
Flisiak‐Jackiewicz, Marta, et al.. (2024). Irisin as a marker of hepatic steatosis in children with metabolic dysfunction–associated steatotic liver disease. Acta Paediatrica. 114(3). 578–585. 1 indexed citations
3.
Flisiak‐Jackiewicz, Marta, et al.. (2024). Uric acid as a potential marker of cardiometabolic risk in children and adolescents with metabolic dysfunction associated steatotic liver disease. Clinical and Experimental Hepatology. 10(3). 188–193.
4.
Flisiak‐Jackiewicz, Marta, et al.. (2024). Biochemical and Anthropometric Indices of Insulin Resistance in Obese and Overweight Children with Metabolic Dysfunction-Associated Fatty Liver Disease. Medical Science Monitor. 30. e943375–e943375. 4 indexed citations
5.
6.
Flisiak‐Jackiewicz, Marta, et al.. (2023). Thrombospondin-2 as a potential noninvasive biomarker of hepatocyte injury but not liver fibrosis in children with MAFLD: A preliminary study. Clinical and Experimental Hepatology. 9(4). 368–374. 1 indexed citations
7.
Bobrus‐Chociej, Anna, et al.. (2022). Can stanniocalcin-2 be regarded as a novel non-invasivebiomarker of advanced liver steatosis in obese children?A preliminary study. SHILAP Revista de lepidopterología. 97(4). 302–307.
8.
Bobrus‐Chociej, Anna, et al.. (2022). Analysis of Sphingolipids in Pediatric Patients with Cholelithiasis—A Preliminary Study. Journal of Clinical Medicine. 11(19). 5613–5613. 6 indexed citations
9.
Bobrus‐Chociej, Anna, et al.. (2022). Chemerin as Potential Biomarker in Pediatric Diseases: A PRISMA-Compliant Study. Biomedicines. 10(3). 591–591. 11 indexed citations
10.
Bobrus‐Chociej, Anna, et al.. (2022). Autoimmune sclerosing cholangitis might be triggered by SARS-CoV-2 infection in a child – a case report. Central European Journal of Immunology. 47(2). 183–187. 3 indexed citations
11.
Bobrus‐Chociej, Anna, et al.. (2021). Celiac Disease in Conjunction with Hereditary Fructose Intolerance as a Rare Cause of Liver Steatosis with Mild Hypertransaminasemia—A Case Report. Pediatric Reports. 13(4). 589–593. 3 indexed citations
12.
13.
Bobrus‐Chociej, Anna, Ewa Harasim‐Symbor, Eugeniusz Tarasów, et al.. (2021). Serum concentration of fatty acids in children with obesity and nonalcoholic fatty liver disease. Nutrition. 94. 111541–111541. 7 indexed citations
14.
Bobrus‐Chociej, Anna, et al.. (2020). The role of chemerin in the pathogenesis of cholelithiasis in children and adolescents. Journal of Paediatrics and Child Health. 57(3). 371–375. 7 indexed citations
15.
Flisiak‐Jackiewicz, Marta, et al.. (2019). Can hepatokines be regarded as novel non-invasive serum biomarkers of intrahepatic lipid content in obese children?. Advances in Medical Sciences. 64(2). 280–284. 20 indexed citations
16.
Bobrus‐Chociej, Anna, Ewa Harasim‐Symbor, Eugeniusz Tarasów, et al.. (2018). Increased serum concentration of ceramides in obese children with nonalcoholic fatty liver disease. Lipids in Health and Disease. 17(1). 216–216. 44 indexed citations
17.
Flisiak‐Jackiewicz, Marta, et al.. (2018). Predictive Role of Interleukin-18 in Liver Steatosis in Obese Children. Canadian Journal of Gastroenterology and Hepatology. 2018. 1–9. 33 indexed citations
18.
Lebensztejn, Dariusz, et al.. (2014). Hepatotoxicity caused by montelukast in a paediatric patient. Gastroenterology Review. 2(2). 121–123. 6 indexed citations
19.
Kaczmarski, M, et al.. (2013). Supplementation with long chain polyunsaturated fatty acids in treatment of atopic dermatitis in children. Advances in Dermatology and Allergology. 2(2). 103–107. 11 indexed citations
20.
Bobrus‐Chociej, Anna, et al.. (2012). [Frequency and causes for hospitalization of children with cholelithiasis - own observations].. PubMed. 15(4). 467–71. 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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