Peter Haviernik
Impact in
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
Papers in
-
- Hematopoietic Stem Cell Transplantation 4
- Acute Myeloid Leukemia Research 2
- Platelet Disorders and Treatments 2
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- T-cell and Retrovirus Studies 3
- Co-authors
- Kevin D. Bunting (8 shared papers)Linda Wolff (6 shared papers)Yu‐Chung Yang (2 shared papers)Yu Chen (1 shared paper)Jordan Kolarov (3 shared papers)Juraj Bies (3 shared papers)Nicholas J. Greco (4 shared papers)Mary J. Laughlin (4 shared papers)
- Journals
- Blood (5 papers)Oncogene (3 papers)European Journal of Biochemistry (2 papers)Blood Cells Molecules and Diseases (2 papers)Genetics (1 paper)
- Partner nations
- United StatesSlovakiaUnited Kingdom
In The Last Decade
Peter Haviernik
24 papers receiving 443 citations
Peers
Comparison fields: 5 of 52
- Hematology 90
- Aging 10
- Immunology 83
- Cancer Research 45
- Molecular Biology 186
Countries citing papers authored by Peter Haviernik
This map shows the geographic impact of Peter Haviernik'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 Peter Haviernik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Haviernik more than expected).
Fields of papers citing papers by Peter Haviernik
This network shows the impact of papers produced by Peter Haviernik. 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 Peter Haviernik. The network helps show where Peter Haviernik may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Haviernik, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 66 | |
| 2 | 2001 | 59 | |
| 3 | 2007 | 47 | |
| 4 | 2005 | 40 | |
| 5 | 1995 | 31 | |
| 6 | 1996 | 28 | |
| 7 | 2001 | 28 | |
| 8 | 2002 | 24 | |
| 9 | 1996 | 21 | |
| 10 | 2004 | 20 | |
| 11 | 2001 | 13 | |
| 12 | 2008 | 13 | |
| 13 | 2002 | 12 | |
| 14 | 2004 | 12 | |
| 15 | 2003 | 10 | |
| 16 | 2008 | 10 | |
| 17 | 2008 | 6 | |
| 18 | 2008 | 5 | |
| 19 | 2008 | 3 | |
| 20 | 1996 | 2 |
About Peter Haviernik
Peter Haviernik is a scholar working on Hematology, Immunology, Cancer Research, Molecular Biology and Oncology, having authored 24 papers that have together received 456 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), Cancer-related Molecular Pathways (3 papers), T-cell and Retrovirus Studies (3 papers), Signaling Pathways in Disease (2 papers), Protease and Inhibitor Mechanisms (2 papers), Acute Myeloid Leukemia Research (2 papers) and Platelet Disorders and Treatments (2 papers). The work is most often cited by research in Hematology (90 citations), Aging (10 citations), Immunology (83 citations), Cancer Research (45 citations) and Molecular Biology (186 citations). Peter Haviernik has collaborated with scholars based in United States, Slovakia and United Kingdom. Frequent co-authors include Kevin D. Bunting, Linda Wolff, Yu‐Chung Yang, Yu Chen, Jordan Kolarov, Juraj Bies, Nicholas J. Greco, Mary J. Laughlin, Richard Patrick Weitzel and Suzanne Kadereit. Their work appears in journals such as Blood, Oncogene, European Journal of Biochemistry, Blood Cells Molecules and Diseases and Genetics.
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.