David Haschka
Impact in
- Hematology top 1%
- Iron Metabolism and Disorders
- Erythropoietin and Anemia Treatment
- Genetics top 2%
- Hemoglobinopathies and Related Disorders
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 28
- Iron Metabolism and Disorders 26
- Erythropoietin and Anemia Treatment 4
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- Trace Elements in Health 15
- Vitamin C and Antioxidants Research 3
- Child Nutrition and Water Access 3
- Co-authors
- Günter Weiß (38 shared papers)Manfred Nairz (20 shared papers)Egon Demetz (12 shared papers)Alexander Hoffmann (7 shared papers)Igor Theurl (16 shared papers)Piotr Tymoszuk (14 shared papers)Stefanie Dichtl (11 shared papers)Markus Seifert (13 shared papers)
- Journals
- Blood (2 papers)European Journal of Immunology (2 papers)Metallomics (2 papers)Frontiers in Cellular and Infection Microbiology (2 papers)JCI Insight (2 papers)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
David Haschka
38 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 108
- Hematology 752
- Genetics 471
- Nutrition and Dietetics 371
- Endocrinology 52
- Immunology 164
Countries citing papers authored by David Haschka
This map shows the geographic impact of David Haschka'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 David Haschka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Haschka more than expected).
Fields of papers citing papers by David Haschka
This network shows the impact of papers produced by David Haschka. 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 David Haschka. The network helps show where David Haschka may publish in the future.
Co-authors
The 25 scholars most cited alongside David Haschka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 271 | |
| 2 | 2017 | 163 | |
| 3 | 2020 | 142 | |
| 4 | 2014 | 122 | |
| 5 | 2018 | 95 | |
| 6 | 2015 | 89 | |
| 7 | 2017 | 58 | |
| 8 | 2015 | 57 | |
| 9 | 2016 | 55 | |
| 10 | 2017 | 53 | |
| 11 | 2017 | 39 | |
| 12 | 2020 | 39 | |
| 13 | 2019 | 34 | |
| 14 | 2014 | 34 | |
| 15 | 2017 | 31 | |
| 16 | 2018 | 30 | |
| 17 | 2015 | 27 | |
| 18 | 2015 | 27 | |
| 19 | 2019 | 24 | |
| 20 | 2021 | 24 |
About David Haschka
David Haschka is a scholar working on Hematology, Nutrition and Dietetics, Genetics, Nephrology and Molecular Biology, having authored 42 papers that have together received 1.6k indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (26 papers), Trace Elements in Health (15 papers), Hemoglobinopathies and Related Disorders (11 papers), Gout, Hyperuricemia, Uric Acid (4 papers), Erythropoietin and Anemia Treatment (4 papers), Vitamin C and Antioxidants Research (3 papers), Child Nutrition and Water Access (3 papers) and Kruppel-like factors research (2 papers). The work is most often cited by research in Hematology (752 citations), Genetics (471 citations), Nutrition and Dietetics (371 citations), Endocrinology (52 citations) and Immunology (164 citations). David Haschka has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Günter Weiß, Manfred Nairz, Egon Demetz, Alexander Hoffmann, Igor Theurl, Piotr Tymoszuk, Stefanie Dichtl, Markus Seifert, Andrea Schroll and Verena Petzer. Their work appears in journals such as Blood, European Journal of Immunology, Metallomics, Frontiers in Cellular and Infection Microbiology and JCI Insight.
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.