Peter Haviernik

572 citations
25 papers · 441 indexed · h-index 13
  • Hematology top 10%
    • Acute Myeloid Leukemia Research 4
    • Protease and Inhibitor Mechanisms 3
    • Fungal and yeast genetics research 5
    • Mitochondrial Function and Pathology 4
    • Microbial Metabolic Engineering and Bioproduction 4
    • RNA Interference and Gene Delivery 3
    • Photosynthetic Processes and Mechanisms 3
    • Signaling Pathways in Disease 3

Peter Haviernik

25 papers receiving 432 citations

Peers

Peter Haviernik
Comparison fields: 5 of 63
  • Hematology 89
  • Cancer Research 79
  • Aging 8
  • Immunology 93
  • Molecular Biology 297
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Jinhua Cui United States
Caleb A. Dawson Australia
Jeevisha Bajaj United States
Meropi Athanasiou United States
Patrick A. Ozark United States
D Y Mason United Kingdom
James M. Simone United States
Ching-Man Virbasius United States
Shengrong Lin China
Robert J. Davidson United States
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Citations per field
00.5×1.5×
Jinhua Cui · 1×
Citations per year

Countries citing papers authored by Peter Haviernik

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Peter Haviernik Line = papers co-authored together Peter Haviernik links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20192
2 200960
3 20085
4 200810
5 20085
6 20081
7 200812
8 200538
9 200412
10 200415
11 200310
12 200157
13 200113
14 200128
15 19961
16 199621
17 19962
18 199624
19 199527
20 199518

About Peter Haviernik

Peter Haviernik is a scholar working on Hematology, Cancer Research, Molecular Biology, Genetics and Virology, 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), Mitochondrial Function and Pathology (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), RNA Interference and Gene Delivery (3 papers), Photosynthetic Processes and Mechanisms (3 papers), Signaling Pathways in Disease (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, Yu Chen, Yu‐Chung Yang, Juraj Bies, Nicholas J. Greco, Mary J. Laughlin and R. Patrick Weitzel. 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.

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