Juraj Bies

1.3k citations
44 papers · 981 · h-index 19

Impact in

Papers in

    • Ubiquitin and proteasome pathways 10
    • Epigenetics and DNA Methylation 7
    • Cancer-related gene regulation 4
    • Acute Myeloid Leukemia Research 18

Juraj Bies

42 papers receiving 972 citations

Peers

Juraj Bies
Comparison fields: 5 of 63
  • Hematology 274
  • Cancer Research 172
  • Molecular Biology 782
  • Oncology 307
  • Immunology 168
Replace Adrian Schwarzer with:
Adrian Schwarzer Germany
Anna Kilbey United Kingdom
Carolina Abramovich Canada
Masamitsu Negishi Japan
Taiju Utsugisawa Japan
Archibald S. Perkins United States
Matthew P. McCormack Australia
Dennis K. Watson United States
Elke Raderschall United States
Sabine Herblot Canada
Juraj Bies relative to Adrian Schwarzer Germany Adrian Schwarzer's profile →
Citations per field
00.5×1.7×
Adrian Schwarzer · 1×
Citations per year

Countries citing papers authored by Juraj Bies

Since Specialization
Citations

This map shows the geographic impact of Juraj Bies'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 Juraj Bies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juraj Bies more than expected).

Fields of papers citing papers by Juraj Bies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juraj Bies. 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 Juraj Bies. The network helps show where Juraj Bies may publish in the future.

Co-authors

The 25 scholars most cited alongside Juraj Bies, 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 Juraj Bies Line = papers co-authored together Juraj Bies links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002153
2 201067
3 200157
4 199756
5 200754
6 200449
7 200640
8
B-Myb prevents growth arrest associated with terminal differentiation of monocytic cells.
199639
9 201238
10
Only late, nonmitotic stages of granulocyte differentiation in 32Dcl3 cells are blocked by ectopic expression of murine c-myb and its truncated forms.
199536
11 200331
12 200128
13
Acceleration of apoptosis in transforming growth factor beta 1-treated M1 cells ectopically expressing B-myb.
199528
14 201028
15 200025
16 199924
17 201221
18 201220
19 201319
20 200717

About Juraj Bies

Juraj Bies is a scholar working on Molecular Biology, Hematology, Oncology, Genetics and Genetics, having authored 44 papers that have together received 981 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (18 papers), Ubiquitin and proteasome pathways (10 papers), Cancer-related Molecular Pathways (8 papers), Epigenetics and DNA Methylation (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), Virus-based gene therapy research (6 papers), Cancer-related gene regulation (4 papers) and Peptidase Inhibition and Analysis (4 papers). The work is most often cited by research in Hematology (274 citations), Cancer Research (172 citations), Molecular Biology (782 citations), Oncology (307 citations) and Immunology (168 citations). Juraj Bies has collaborated with scholars based in United States, Slovakia and Canada. Frequent co-authors include Linda Wolff, Ján Markus, Richard Koller, Thomas A. Paul, Donald Small, Marek Šramko, Martina E. Schmidt, Peter D. Aplan, Peter Haviernik and Tomohiko Tamura. Their work appears in journals such as Blood, Journal of Biological Chemistry, Blood Cells Molecules and Diseases, Oncogene and Virology.

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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