F. Pakesch
Impact in
- Hematology top 10%
- Platelet Disorders and Treatments
- Blood groups and transfusion
-
- Hemoglobinopathies and Related Disorders
Papers in
-
- Platelet Disorders and Treatments 4
- Blood groups and transfusion 3
- Hemophilia Treatment and Research 2
-
- Erythrocyte Function and Pathophysiology 5
- Co-authors
- H Braunsteiner (43 shared papers)K Fellinger (20 shared papers)H Vetter (1 shared paper)E Mannheimer (1 shared paper)A Neumayr (4 shared papers)G. Grabner (2 shared papers)O Thalhammer (1 shared paper)Heinrich von Hayek (2 shared papers)
- Journals
- Journal of Molecular Medicine (14 papers)Acta Haematologica (8 papers)Blood (7 papers)Annals of Hematology (1 paper)Endocrinology (1 paper)
- Partner nations
- AustriaUnited States
In The Last Decade
F. Pakesch
37 papers receiving 433 citations
Peers
Comparison fields: 5 of 91
- Hematology 122
- Genetics 66
- Cell Biology 80
- Immunology 87
- Immunology and Allergy 21
Countries citing papers authored by F. Pakesch
This map shows the geographic impact of F. Pakesch'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 F. Pakesch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Pakesch more than expected).
Fields of papers citing papers by F. Pakesch
This network shows the impact of papers produced by F. Pakesch. 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 F. Pakesch. The network helps show where F. Pakesch may publish in the future.
Co-authors
The 12 scholars most cited alongside F. Pakesch, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1953 | 71 | |
| 2 | 1956 | 60 | |
| 3 | [Hemopoietic complications of hydantoin therapy of epilepsy]. | 1952 | 58 |
| 4 | 1953 | 48 | |
| 5 | 1955 | 48 | |
| 6 | 1954 | 30 | |
| 7 | 1956 | 29 | |
| 8 | 1957 | 29 | |
| 9 | 1952 | 24 | |
| 10 | 1953 | 20 | |
| 11 | 1958 | 13 | |
| 12 | 1953 | 13 | |
| 13 | 1957 | 12 | |
| 14 | 1953 | 12 | |
| 15 | 1960 | 11 | |
| 16 | 1954 | 10 | |
| 17 | 1958 | 10 | |
| 18 | 1955 | 8 | |
| 19 | [Electron microscopic studies on the morphology of Toxoplasma gondii and the nature of the Sabin-Feldman color test]. | 1957 | 5 |
| 20 | 1956 | 5 |
About F. Pakesch
F. Pakesch is a scholar working on Hematology, Physiology, Immunology, Molecular Biology and Cell Biology, having authored 48 papers that have together received 554 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (5 papers), Platelet Disorders and Treatments (4 papers), Blood groups and transfusion (3 papers), Blood disorders and treatments (3 papers), Hemophilia Treatment and Research (2 papers), Electron and X-Ray Spectroscopy Techniques (2 papers), Hematological disorders and diagnostics (2 papers) and Blood properties and coagulation (2 papers). The work is most often cited by research in Hematology (122 citations), Genetics (66 citations), Cell Biology (80 citations), Immunology (87 citations) and Immunology and Allergy (21 citations). F. Pakesch has collaborated with scholars based in Austria and United States. Frequent co-authors include H Braunsteiner, K Fellinger, H Vetter, E Mannheimer, A Neumayr, G. Grabner, O Thalhammer, Heinrich von Hayek, Eva Oswald and H. E. Kolder. Their work appears in journals such as Journal of Molecular Medicine, Acta Haematologica, Blood, Annals of Hematology and Endocrinology.
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.