Friedhelm Bladt
Impact in
- Hepatology top 0.5%
- Liver physiology and pathology
- Developmental Neuroscience top 2%
Papers in
- Hepatology 25
- Liver physiology and pathology 25
- Hepatocellular Carcinoma Treatment and Prognosis 6
- Co-authors
- Carmen BirchmeierDieter RiethmacherAdriano AguzziStefan IsenmannTony PawsonVolker BrinkmannErmanno GherardiClaudia Schmidt
- Journals
- Cancer Research (5 papers)Clinical Cancer Research (4 papers)Nature (4 papers)Journal of Clinical Oncology (4 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Friedhelm Bladt
45 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Hepatology 1.8k
- Developmental Neuroscience 247
- Immunology 969
- Nephrology 293
- Endocrinology 205
Countries citing papers authored by Friedhelm Bladt
This map shows the geographic impact of Friedhelm Bladt'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 Friedhelm Bladt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Friedhelm Bladt more than expected).
Fields of papers citing papers by Friedhelm Bladt
This network shows the impact of papers produced by Friedhelm Bladt. 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 Friedhelm Bladt. The network helps show where Friedhelm Bladt may publish in the future.
Co-authors
The 25 scholars most cited alongside Friedhelm Bladt, 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 | 2025 | 0 | |
| 2 | 2021 | 22 | |
| 3 | 2019 | 67 | |
| 4 | 2016 | 27 | |
| 5 | 2015 | 8 | |
| 6 | 2015 | 2 | |
| 7 | 2015 | 68 | |
| 8 | 2015 | 21 | |
| 9 | 2013 | 114 | |
| 10 | 2013 | 25 | |
| 11 | 2013 | 28 | |
| 12 | 2009 | 124 | |
| 13 | 2006 | 378 | |
| 14 | 2003 | 153 | |
| 15 | 2001 | 295 | |
| 16 | ICOS is essential for effective T-helper-cell responses Hit paper breakdown → | 2001 | 558 |
| 17 | 1998 | 86 | |
| 18 | 1996 | 356 | |
| 19 | Scatter factor/hepatocyte growth factor is essential for liver development Hit paper breakdown → | 1995 | 1145 |
| 20 | 1993 | 20 |
About Friedhelm Bladt
Friedhelm Bladt is a scholar working on Hepatology, Developmental Neuroscience, Cancer Research, Sensory Systems and Oncology, having authored 46 papers that have together received 5.6k indexed citations. Recurring topics across this work include Liver physiology and pathology (25 papers), Cancer, Hypoxia, and Metabolism (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Cancer Mechanisms and Therapy (5 papers), Pancreatic and Hepatic Oncology Research (4 papers), Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (4 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Hepatology (1.8k citations), Developmental Neuroscience (247 citations), Immunology (969 citations), Nephrology (293 citations) and Endocrinology (205 citations). Friedhelm Bladt has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Carmen Birchmeier, Dieter Riethmacher, Adriano Aguzzi, Stefan Isenmann, Tony Pawson, Volker Brinkmann, Ermanno Gherardi, Claudia Schmidt, W Zschiesche and Agostino Tafuri. Their work appears in journals such as Cancer Research, Clinical Cancer Research, Nature, Journal of Clinical Oncology and Proceedings of the National Academy of Sciences.
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.