Heinz Gisslinger
- Genetics top 0.02%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 178
- Hemoglobinopathies and Related Disorders 18
- Hematology top 0.02%
- Acute Myeloid Leukemia Research 67
- Chronic Myeloid Leukemia Treatments 65
- Multiple Myeloma Research and Treatments 64
- Rheumatology top 0.1%
- Eosinophilic Disorders and Syndromes 70
- Molecular Biology top 0.5%
- Kruppel-like factors research 51
- Amyloidosis: Diagnosis, Treatment, Outcomes 14
- Internal Medicine top 2%
- Co-authors
- Tiziano BarbuiAlessandro M. VannucchiFrancisco CervantesHeinz LudwigAyalew TefferiGiovanni BarosiJean‐Jacques KiladjianClaire Harrison
- Cited by
- GeneticsHematologyRheumatology
In The Last Decade
Heinz Gisslinger
295 papers receiving 13.0k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Genetics 9.3k
- Hematology 8.3k
- Rheumatology 3.9k
- Molecular Biology 6.8k
- Internal Medicine 224
Countries citing papers authored by Heinz Gisslinger
This map shows the geographic impact of Heinz Gisslinger'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 Heinz Gisslinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heinz Gisslinger more than expected).
Fields of papers citing papers by Heinz Gisslinger
This network shows the impact of papers produced by Heinz Gisslinger. 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 Heinz Gisslinger. The network helps show where Heinz Gisslinger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Heinz Gisslinger, 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 | 2025 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 9 | |
| 6 | 2020 | 4 | |
| 7 | 2018 | 7 | |
| 8 | The 2016 WHO classification and diagnostic criteria for myeloproliferative neoplasms: document summary and in-depth discussionbreakdown → | 2018 | 383 |
| 9 | 2016 | 46 | |
| 10 | 2013 | 24 | |
| 11 | 2009 | 9 | |
| 12 | 2008 | 148 | |
| 13 | Proposals and rationale for revision of the World Health Organization diagnostic criteria for polycythemia vera, essential thrombocythemia, and primary myelofibrosis: recommendations from an ad hoc international expert panelbreakdown → | 2007 | 604 |
| 14 | 2006 | 80 | |
| 15 | 2001 | 23 | |
| 16 | 2000 | 4 | |
| 17 | 2000 | 26 | |
| 18 | 1993 | 3 | |
| 19 | 1990 | 5 | |
| 20 | 1985 | 16 |
About Heinz Gisslinger
Heinz Gisslinger is a scholar working on Genetics, Hematology and Rheumatology, having authored 304 papers that have together received 13.3k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (178 papers), Eosinophilic Disorders and Syndromes (70 papers), Acute Myeloid Leukemia Research (67 papers), Chronic Myeloid Leukemia Treatments (65 papers), Multiple Myeloma Research and Treatments (64 papers), Kruppel-like factors research (51 papers), Hemoglobinopathies and Related Disorders (18 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (14 papers). The work is most often cited by research in Genetics (9.3k citations), Hematology (8.3k citations) and Rheumatology (3.9k citations). Heinz Gisslinger has collaborated with scholars based in Austria, Germany and Italy. Frequent co-authors include Tiziano Barbui, Alessandro M. Vannucchi, Francisco Cervantes, Heinz Ludwig, Ayalew Tefferi, Giovanni Barosi, Jean‐Jacques Kiladjian, Claire Harrison, Guido Finazzi and Francesco Passamonti. Their work appears in journals such as New England Journal of Medicine, The Lancet and Journal of Clinical Investigation.
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.