Georg Heß
- Hepatology top 0.5%
- Hepatitis C virus research 32
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research 54
- Pathology and Forensic Medicine top 0.5%
- Lymphoma Diagnosis and Treatment 93
- Oncology top 1%
- CAR-T cell therapy research 29
- Viral-associated cancers and disorders 21
- Hematology top 1%
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- Hepatitis B Virus Studies 33
- Liver Disease Diagnosis and Treatment 14
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- Monoclonal and Polyclonal Antibodies Research 14
Georg Heß
186 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Hepatology 1.2k
- Genetics 1.4k
- Pathology and Forensic Medicine 2.1k
- Oncology 2.2k
- Hematology 758
Countries citing papers authored by Georg Heß
This map shows the geographic impact of Georg Heß'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 Georg Heß with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georg Heß more than expected).
Fields of papers citing papers by Georg Heß
This network shows the impact of papers produced by Georg Heß. 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 Georg Heß. The network helps show where Georg Heß may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Georg Heß, 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 | 2024 | 2 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 10 | |
| 5 | 2023 | 17 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 16 | |
| 8 | 2021 | 6 | |
| 9 | 2021 | 3 | |
| 10 | 2019 | 16 | |
| 11 | 2018 | 63 | |
| 12 | 2017 | 18 | |
| 13 | 2017 | 4 | |
| 14 | 2017 | 0 | |
| 15 | Belinostat in Patients With Relapsed or Refractory Peripheral T-Cell Lymphoma: Results of the Pivotal Phase II BELIEF (CLN-19) Studybreakdown → | 2015 | 386 |
| 16 | 2013 | 119 | |
| 17 | 2011 | 86 | |
| 18 | Fator de diferenciação de crescimento 15: um novo biomarcador em pacientes com disfunção diastólica? | 2011 | 28 |
| 19 | 2004 | 196 | |
| 20 | [Immune response to HBsAg, HBcAg and e-antigen in patients with acute hepatitis and HBsAg carriers with and without liver diseases]. | 1976 | 6 |
About Georg Heß
Georg Heß is a scholar working on Pathology and Forensic Medicine, Genetics and Hepatology, having authored 192 papers that have together received 6.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (93 papers), Chronic Lymphocytic Leukemia Research (54 papers), Hepatitis B Virus Studies (33 papers), Hepatitis C virus research (32 papers), CAR-T cell therapy research (29 papers), Viral-associated cancers and disorders (21 papers), Monoclonal and Polyclonal Antibodies Research (14 papers) and Liver Disease Diagnosis and Treatment (14 papers). The work is most often cited by research in Hepatology (1.2k citations), Genetics (1.4k citations) and Pathology and Forensic Medicine (2.1k citations). Georg Heß has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Dietmar Zdunek, Andreas Viardot, Ralf C. Bargou, Hugo A. Katus, Kerstin Kurz, Evangelos Giannitsis, Martin Schüler, Alfred M. Engel, Bertrand Coiffier and Karl‐Hermann Meyer zum Büschenfelde. Their work appears in journals such as Blood, Journal of Clinical Oncology, Journal of Medical Virology, Hepatology and British Journal of Haematology.
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.