Ester Pernjak Pugel
- Epidemiology top 10%
- Immunology top 10%
- Molecular Biology
- Pathology and Forensic Medicine top 10%
- Pharmacology top 5%
- Co-authors
- Marko ŠkodaRobert DomitrovićOlga CvijanovićStipan JonjićWilliam J. BrittŽeljka Crnčević-OrlićJelena TomacMijo Golemac
- Topics
- Cytomegalovirus and herpesvirus research (10 papers)Peptidase Inhibition and Analysis (5 papers)Immune Cell Function and Interaction (4 papers)
- Cited by
- ImmunologyPharmacologyNeurology
- Partner nations
- CroatiaUnited StatesGermany
In The Last Decade
Ester Pernjak Pugel
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 96
- Epidemiology 436
- Immunology 282
- Molecular Biology 178
- Pathology and Forensic Medicine 164
- Pharmacology 113
Countries citing papers authored by Ester Pernjak Pugel
This map shows the geographic impact of Ester Pernjak Pugel'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 Ester Pernjak Pugel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ester Pernjak Pugel more than expected).
Fields of papers citing papers by Ester Pernjak Pugel
This network shows the impact of papers produced by Ester Pernjak Pugel. 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 Ester Pernjak Pugel. The network helps show where Ester Pernjak Pugel may publish in the future.
Co-authorship network of co-authors of Ester Pernjak Pugel
This figure shows the co-authorship network connecting the top 25 collaborators of Ester Pernjak Pugel. A scholar is included among the top collaborators of Ester Pernjak Pugel 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 Ester Pernjak Pugel. Ester Pernjak Pugel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 39 | |
| 3 | 14 | |
| 4 | 23 | |
| 5 | 66 | |
| 6 | 59 | |
| 7 | 162 | |
| 8 | 112 | |
| 9 | 42 | |
| 10 | 115 | |
| 11 | Pathogenesis of congenital cytomegalovirus infection of the central nervous system | 2 |
| 12 | 17 | |
| 13 | 33 | |
| 14 | 63 | |
| 15 | 73 | |
| 16 | 71 | |
| 17 | 118 | |
| 18 | NK cell activation through the NKG2D ligand mult-1 is selectively prevented by the glycoprotein encoded by mouse cytomegalovirus gene M145 | 4 |
| 19 | 43 | |
| 20 | 5 |
About Ester Pernjak Pugel
Ester Pernjak Pugel is a scholar working on Neurology, Epidemiology and Immunology, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (10 papers), Peptidase Inhibition and Analysis (5 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Immunology (282 citations), Pharmacology (113 citations) and Neurology (105 citations). Ester Pernjak Pugel has collaborated with scholars based in Croatia, United States and Germany. Frequent co-authors include Marko Škoda, Robert Domitrović, Olga Cvijanović, Stipan Jonjić, William J. Britt, Željka Crnčević-Orlić, Jelena Tomac, Mijo Golemac, Astrid Krmpotić and Gordana Blagojević Zagorac. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Journal of Virology.
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.