Maciej Jabłkowski
- Epidemiology top 10%
- Hepatology top 5%
- Molecular Biology
- Physiology
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Janusz SzemrajPiotr CzarnyAgata BiniendaSylwia ZiółkowskaJolanta BiałkowskaRobert FlisiakJenny HeathcoteR. Crabbé
- Topics
- Hepatitis C virus research (19 papers)Liver Disease Diagnosis and Treatment (17 papers)Hepatitis B Virus Studies (14 papers)
- Partner nations
- PolandUnited StatesCanada
In The Last Decade
Maciej Jabłkowski
42 papers receiving 508 citations
Peers
Comparison fields: 5 of 74
- Epidemiology 294
- Hepatology 234
- Molecular Biology 156
- Physiology 61
- Endocrinology, Diabetes and Metabolism 60
Countries citing papers authored by Maciej Jabłkowski
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 19 | |
| 12 | 6 | |
| 13 | 8 | |
| 14 | 1 | |
| 15 | 26 | |
| 16 | [Cognitive disturbances observed in chronic hepatitis C patients during pegylated interferon alpha and ribavirin therapy]. | 4 |
| 17 | A comparative study of P53/MDM2 genes alterations and P53/MDM2 proteins immunoreactivity in liver cirrhosis and hepatocellular carcinoma. | 19 |
| 18 | [Cancer antigen 125 as a marker of ascites in patients with liver cirrhosis]. | 1 |
| 19 | Herpes simplex encephalitis: a case report. | 2 |
| 20 | A competitor DNA template for the molecular quantification of the hepatitis B virus. | 2 |
About Maciej Jabłkowski
Maciej Jabłkowski is a scholar working on Hepatology, Epidemiology and Developmental Biology, having authored 46 papers that have together received 519 indexed citations. Recurring topics across this work include Hepatitis C virus research (19 papers), Liver Disease Diagnosis and Treatment (17 papers) and Hepatitis B Virus Studies (14 papers). The work is most often cited by research in Hepatology (234 citations), Epidemiology (294 citations) and Endocrinology, Diabetes and Metabolism (60 citations). Maciej Jabłkowski has collaborated with scholars based in Poland, United States and Canada. Frequent co-authors include Janusz Szemraj, Piotr Czarny, Agata Binienda, Sylwia Ziółkowska, Jolanta Białkowska, Robert Flisiak, Jenny Heathcote, R. Crabbé, Andrzej Horban and Piétro Scalfaro. Their work appears in journals such as Hepatology, Scientific Reports and International Journal of Molecular Sciences.
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.