Tujana Boldanova
Impact in
- Hepatology top 2%
- Hepatitis C virus research
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
Papers in
-
- Hepatitis C virus research 6
- Hepatocellular Carcinoma Treatment and Prognosis 2
-
- Cancer Genomics and Diagnostics 4
- Co-authors
- Markus H. HeimLuigi TerraccianoStefan WielandMatthias S. MatterSalvatore PiscuoglioAleksei SuslovLuca QuagliataCharlotte K.Y. Ng
- Journals
- Hepatology (2 papers)Swiss Medical Weekly (2 papers)Molecular Oncology (1 paper)Journal of Hepatology (1 paper)International Journal of Cardiology (1 paper)
- Partner nations
- SwitzerlandGermanyItaly
In The Last Decade
Tujana Boldanova
20 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Hepatology 419
- Cancer Research 577
- Cardiology and Cardiovascular Medicine 353
- Oncology 335
- Immunology 215
Countries citing papers authored by Tujana Boldanova
This map shows the geographic impact of Tujana Boldanova'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 Tujana Boldanova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tujana Boldanova more than expected).
Fields of papers citing papers by Tujana Boldanova
This network shows the impact of papers produced by Tujana Boldanova. 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 Tujana Boldanova. The network helps show where Tujana Boldanova may publish in the future.
Co-authors
The 25 scholars most cited alongside Tujana Boldanova, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 7 | |
| 2 | 2020 | 34 | |
| 3 | 2019 | 41 | |
| 4 | 2019 | 27 | |
| 5 | 2018 | 75 | |
| 6 | 2018 | 134 | |
| 7 | Organoid Models of Human Liver Cancers Derived from Tumor Needle Biopsies Hit paper breakdown → | 2018 | 339 |
| 8 | 2017 | 45 | |
| 9 | 2016 | 54 | |
| 10 | 2016 | 56 | |
| 11 | 2015 | 12 | |
| 12 | 2015 | 71 | |
| 13 | 2014 | 13 | |
| 14 | 2014 | 52 | |
| 15 | 2013 | 373 | |
| 16 | 2013 | 7 | |
| 17 | 2009 | 53 | |
| 18 | 2009 | 316 | |
| 19 | 2009 | 18 | |
| 20 | 2007 | 42 |
About Tujana Boldanova
Tujana Boldanova is a scholar working on Hepatology, Cancer Research, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Clinical Biochemistry, having authored 20 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hepatitis C virus research (6 papers), Cancer Genomics and Diagnostics (4 papers), Heart Failure Treatment and Management (3 papers), interferon and immune responses (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Ferroptosis and cancer prognosis (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Hepatology (419 citations), Cancer Research (577 citations), Cardiology and Cardiovascular Medicine (353 citations), Oncology (335 citations) and Immunology (215 citations). Tujana Boldanova has collaborated with scholars based in Switzerland, Germany and Italy. Frequent co-authors include Markus H. Heim, Luigi Terracciano, Stefan Wieland, Matthias S. Matter, Salvatore Piscuoglio, Aleksei Suslov, Luca Quagliata, Charlotte K.Y. Ng, Diego Calabrese and Markus Noveanu. Their work appears in journals such as Hepatology, Swiss Medical Weekly, Molecular Oncology, Journal of Hepatology and International Journal of Cardiology.
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.