Peter Haviernik
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
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- MicroRNA in disease regulation
Papers in
-
- Fungal and yeast genetics research 5
- Microbial Metabolic Engineering and Bioproduction 4
- Mitochondrial Function and Pathology 4
- Signaling Pathways in Disease 3
- Photosynthetic Processes and Mechanisms 3
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- Acute Myeloid Leukemia Research 4
- Co-authors
- Kevin D. Bunting (8 shared papers)Linda Wolff (6 shared papers)Jordan Kolarov (4 shared papers)L Sabová (3 shared papers)Juraj Bies (3 shared papers)Yu Chen (1 shared paper)Yu‐Chung Yang (1 shared paper)R. Patrick Weitzel (3 shared papers)
- Journals
- Blood (5 papers)European Journal of Biochemistry (3 papers)Oncogene (3 papers)Blood Cells Molecules and Diseases (2 papers)Molecular Therapy (1 paper)
- Partner nations
- United StatesSlovakiaUnited Kingdom
In The Last Decade
Peter Haviernik
25 papers receiving 432 citations
Peers
Comparison fields: 5 of 63
- Hematology 89
- Cancer Research 79
- Aging 8
- Immunology 93
- Molecular Biology 297
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 60 | |
| 2 | 2001 | 57 | |
| 3 | 2007 | 44 | |
| 4 | 2005 | 38 | |
| 5 | 2001 | 28 | |
| 6 | 1995 | 27 | |
| 7 | 1996 | 24 | |
| 8 | 1996 | 21 | |
| 9 | 2002 | 20 | |
| 10 | 1995 | 18 | |
| 11 | 2004 | 15 | |
| 12 | 2001 | 13 | |
| 13 | 2004 | 12 | |
| 14 | 2008 | 12 | |
| 15 | 2002 | 11 | |
| 16 | 2008 | 10 | |
| 17 | 2003 | 10 | |
| 18 | 2008 | 5 | |
| 19 | 2008 | 5 | |
| 20 | 2008 | 3 |
About Peter Haviernik
Peter Haviernik is a scholar working on Molecular Biology, Hematology, Oncology, Cancer Research and Immunology, having authored 25 papers that have together received 441 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (5 papers), Acute Myeloid Leukemia Research (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Mitochondrial Function and Pathology (4 papers), Signaling Pathways in Disease (3 papers), Photosynthetic Processes and Mechanisms (3 papers), Cancer-related Molecular Pathways (3 papers) and Protease and Inhibitor Mechanisms (3 papers). The work is most often cited by research in Hematology (89 citations), Cancer Research (79 citations), Aging (8 citations), Immunology (93 citations) and Molecular Biology (297 citations). Peter Haviernik has collaborated with scholars based in United States, Slovakia and United Kingdom. Frequent co-authors include Kevin D. Bunting, Linda Wolff, Jordan Kolarov, L Sabová, Juraj Bies, Yu Chen, Yu‐Chung Yang, R. Patrick Weitzel, Nicholas J. Greco and Mary J. Laughlin. Their work appears in journals such as Blood, European Journal of Biochemistry, Oncogene, Blood Cells Molecules and Diseases and Molecular Therapy.
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.