Monika Pazgan−Simon
- Epidemiology
- Infectious Diseases top 10%
- Hepatology top 5%
- Molecular Biology
- Neurology
- Co-authors
- Krzysztof SimonJolanta Zuwała−JagiełłoMaria WarwasMichał KuklaAnastasios KoulaouzidisDominika MaciejewskaMariusz KaczmarczykIgor Łoniewski
- Topics
- Liver Disease Diagnosis and Treatment (18 papers)Hepatitis C virus research (11 papers)COVID-19 Clinical Research Studies (8 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaPLoS ONE
In The Last Decade
Monika Pazgan−Simon
49 papers receiving 484 citations
Peers
Comparison fields: 5 of 84
- Epidemiology 193
- Infectious Diseases 152
- Hepatology 136
- Molecular Biology 69
- Neurology 60
Countries citing papers authored by Monika Pazgan−Simon
This map shows the geographic impact of Monika Pazgan−Simon'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 Monika Pazgan−Simon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monika Pazgan−Simon more than expected).
Fields of papers citing papers by Monika Pazgan−Simon
This network shows the impact of papers produced by Monika Pazgan−Simon. 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 Monika Pazgan−Simon. The network helps show where Monika Pazgan−Simon may publish in the future.
Co-authorship network of co-authors of Monika Pazgan−Simon
This figure shows the co-authorship network connecting the top 25 collaborators of Monika Pazgan−Simon. A scholar is included among the top collaborators of Monika Pazgan−Simon 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 Monika Pazgan−Simon. Monika Pazgan−Simon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 16 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 27 | |
| 9 | 3 | |
| 10 | 81 | |
| 11 | 16 | |
| 12 | 10 | |
| 13 | 11 | |
| 14 | 10 | |
| 15 | 6 | |
| 16 | 2 | |
| 17 | 7 | |
| 18 | 4 | |
| 19 | [Fluorescence of age in serum in detecting liver cirrhosis and hepatocellular carcinoma among patients with anti-HCV antibodies]. | 4 |
| 20 | Advanced Glycation Endproducts in Serum of Patients with Chronic Hepatitis and Liver Cirrhosis | 3 |
About Monika Pazgan−Simon
Monika Pazgan−Simon is a scholar working on Hepatology, Epidemiology and Clinical Biochemistry, having authored 52 papers that have together received 500 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (18 papers), Hepatitis C virus research (11 papers) and COVID-19 Clinical Research Studies (8 papers). The work is most often cited by research in Hepatology (136 citations), Infectious Diseases (152 citations) and Epidemiology (193 citations). Monika Pazgan−Simon has collaborated with scholars based in Poland, Spain and Germany. Frequent co-authors include Krzysztof Simon, Jolanta Zuwała−Jagiełło, Maria Warwas, Michał Kukla, Anastasios Koulaouzidis, Dominika Maciejewska, Mariusz Kaczmarczyk, Igor Łoniewski, Katarzyna Kotfis and Ewa Stachowska. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.
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.