Jasna Bingulac-Popović
- Immunology
- Hematology top 10%
- Epidemiology
- Genetics
- Hepatology top 10%
- Co-authors
- John H. PostlethwaitMichael A. GatesFelipe FigueroaAkie SatoWilliam S. TalbotStephen L. JohnsonJan KleinIrena Jukić
- Topics
- Blood groups and transfusion (13 papers)Hepatitis B Virus Studies (8 papers)Hepatitis C virus research (7 papers)
- Cited by
- HematologyImmunologyHepatology
- Journals
- SHILAP Revista de lepidopterologíaTransfusionBiomolecules
- Partner nations
- CroatiaUnited StatesGermany
In The Last Decade
Jasna Bingulac-Popović
30 papers receiving 334 citations
Peers
Comparison fields: 5 of 66
- Immunology 141
- Hematology 83
- Epidemiology 57
- Genetics 53
- Hepatology 52
Countries citing papers authored by Jasna Bingulac-Popović
This map shows the geographic impact of Jasna Bingulac-Popović'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 Jasna Bingulac-Popović with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jasna Bingulac-Popović more than expected).
Fields of papers citing papers by Jasna Bingulac-Popović
This network shows the impact of papers produced by Jasna Bingulac-Popović. 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 Jasna Bingulac-Popović. The network helps show where Jasna Bingulac-Popović may publish in the future.
Co-authorship network of co-authors of Jasna Bingulac-Popović
This figure shows the co-authorship network connecting the top 25 collaborators of Jasna Bingulac-Popović. A scholar is included among the top collaborators of Jasna Bingulac-Popović 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 Jasna Bingulac-Popović. Jasna Bingulac-Popović 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 | 6 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | RASPODJELA GLAVNIH ALELA SUSTAVA ABO KRVNIH GRUPA U HRVATSKOJ POPULACIJI | 1 |
| 8 | ABO krvna grupa i psihički poremećaji | 2 |
| 9 | 6 | |
| 10 | DISTRIBUTION OF THE MAIN ABO BLOOD GROUP ALLELES IN CROATIAN POPULATION | 1 |
| 11 | 5 | |
| 12 | 19 | |
| 13 | 8 | |
| 14 | 14 | |
| 15 | 28 | |
| 16 | 3 | |
| 17 | 5 | |
| 18 | Prevalence and clinical significance of hepatitis G virus infection in hemodialysis patients. | 0 |
| 19 | 10 | |
| 20 | 163 |
About Jasna Bingulac-Popović
Jasna Bingulac-Popović is a scholar working on Hematology, Hepatology and Physiology, having authored 35 papers that have together received 338 indexed citations. Recurring topics across this work include Blood groups and transfusion (13 papers), Hepatitis B Virus Studies (8 papers) and Hepatitis C virus research (7 papers). The work is most often cited by research in Hematology (83 citations), Immunology (141 citations) and Hepatology (52 citations). Jasna Bingulac-Popović has collaborated with scholars based in Croatia, United States and Germany. Frequent co-authors include John H. Postlethwait, Michael A. Gates, Felipe Figueroa, Akie Sato, William S. Talbot, Stephen L. Johnson, Jan Klein, Irena Jukić, Tomislav Vuk and Maja Tomičić. Their work appears in journals such as SHILAP Revista de lepidopterología, Transfusion and Biomolecules.
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.