Günther Gastl
- Hematology top 1%
- Chronic Myeloid Leukemia Treatments 21
- Hematopoietic Stem Cell Transplantation 18
- Acute Myeloid Leukemia Research 12
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research 23
- Myeloproliferative Neoplasms: Diagnosis and Treatment 12
- Immunology top 2%
- Immunotherapy and Immune Responses 25
- Immune Cell Function and Interaction 21
- T-cell and B-cell Immunology 14
- Oncology top 2%
- Infectious Diseases top 2%
- Co-authors
- Eberhard GunsiliusDavid NachbaurCornelia Lass‐FlörlAndreas PetzerJohannes ClausenJutta AubergerMichael SteurerGünther Stockhammer
- Cited by
- HematologyGeneticsImmunology
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Günther Gastl
135 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 119
- Hematology 959
- Genetics 650
- Immunology 1.2k
- Oncology 1.3k
- Infectious Diseases 729
Countries citing papers authored by Günther Gastl
This map shows the geographic impact of Günther Gastl'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 Günther Gastl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Günther Gastl more than expected).
Fields of papers citing papers by Günther Gastl
This network shows the impact of papers produced by Günther Gastl. 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 Günther Gastl. The network helps show where Günther Gastl may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Günther Gastl, 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 | 2018 | 3 | |
| 2 | 2013 | 12 | |
| 3 | 2011 | 7 | |
| 4 | 2011 | 13 | |
| 5 | 2010 | 22 | |
| 6 | 2010 | 27 | |
| 7 | 2007 | 176 | |
| 8 | 2004 | 12 | |
| 9 | 2004 | 28 | |
| 10 | 2003 | 3 | |
| 11 | 2002 | 65 | |
| 12 | 2002 | 6 | |
| 13 | 2002 | 18 | |
| 14 | 2001 | 58 | |
| 15 | 2000 | 245 | |
| 16 | 1989 | 17 | |
| 17 | 1988 | 12 | |
| 18 | 1987 | 3 | |
| 19 | 1985 | 61 | |
| 20 | 1985 | 12 |
About Günther Gastl
Günther Gastl is a scholar working on Hematology, Genetics, Immunology, Oncology and Cancer Research, having authored 137 papers that have together received 4.3k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (25 papers), Chronic Lymphocytic Leukemia Research (23 papers), Immune Cell Function and Interaction (21 papers), Chronic Myeloid Leukemia Treatments (21 papers), Hematopoietic Stem Cell Transplantation (18 papers), T-cell and B-cell Immunology (14 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (12 papers) and Acute Myeloid Leukemia Research (12 papers). The work is most often cited by research in Hematology (959 citations), Genetics (650 citations), Immunology (1.2k citations), Oncology (1.3k citations) and Infectious Diseases (729 citations). Günther Gastl has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Eberhard Gunsilius, David Nachbaur, Cornelia Lass‐Flörl, Andreas Petzer, Johannes Clausen, Jutta Auberger, Michael Steurer, Günther Stockhammer, Reinhard Stauder and Andreas Petzer. Their work appears in journals such as Blood, British Journal of Haematology, Annals of Hematology, Immunobiology and International Journal of Cancer.
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.