T. Rovis
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Oncology top 10%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Epidemiology 26
- Cytomegalovirus and herpesvirus research 19
- Herpesvirus Infections and Treatments 12
- Immunology 19
- Immune Cell Function and Interaction 14
- T-cell and B-cell Immunology 4
- Co-authors
- Stipan Jonjić (38 shared papers)Ofer Mandelboim (14 shared papers)Pinchas Tsukerman (3 shared papers)Rachel Yamin (2 shared papers)Ariella Glasner (2 shared papers)Paola Kučan Brlić (9 shared papers)Noa Stanietsky (1 shared paper)Jonatan Enk (1 shared paper)
In The Last Decade
T. Rovis
45 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 76
- Immunology 750
- Oncology 377
- Epidemiology 391
- Virology 46
- Parasitology 67
Countries citing papers authored by T. Rovis
This map shows the geographic impact of T. Rovis'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 T. Rovis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Rovis more than expected).
Fields of papers citing papers by T. Rovis
This network shows the impact of papers produced by T. Rovis. 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 T. Rovis. The network helps show where T. Rovis may publish in the future.
Co-authors
The 25 scholars most cited alongside T. Rovis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 216 | |
| 2 | 2015 | 209 | |
| 3 | 2018 | 134 | |
| 4 | 2012 | 52 | |
| 5 | 2013 | 49 | |
| 6 | 2016 | 43 | |
| 7 | 2023 | 38 | |
| 8 | 2016 | 36 | |
| 9 | 2013 | 35 | |
| 10 | 2009 | 29 | |
| 11 | 2020 | 28 | |
| 12 | 2018 | 26 | |
| 13 | 2014 | 23 | |
| 14 | 2014 | 20 | |
| 15 | 2017 | 20 | |
| 16 | 2020 | 19 | |
| 17 | 2019 | 18 | |
| 18 | 2021 | 17 | |
| 19 | 2017 | 17 | |
| 20 | 2014 | 17 |
About T. Rovis
T. Rovis is a scholar working on Epidemiology, Immunology, Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (19 papers), Immune Cell Function and Interaction (14 papers), Herpesvirus Infections and Treatments (12 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Glycosylation and Glycoproteins Research (5 papers), CAR-T cell therapy research (5 papers), T-cell and B-cell Immunology (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). The work is most often cited by research in Immunology (750 citations), Oncology (377 citations), Epidemiology (391 citations), Virology (46 citations) and Parasitology (67 citations). T. Rovis has collaborated with scholars based in Croatia, Germany and Israel. Frequent co-authors include Stipan Jonjić, Ofer Mandelboim, Pinchas Tsukerman, Rachel Yamin, Ariella Glasner, Paola Kučan Brlić, Noa Stanietsky, Jonatan Enk, Einat Seidel and Guy Cinamon. Their work appears in journals such as Journal of Virology, Viruses, PLoS Pathogens, Nature Communications and European Journal of Immunology.
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.