Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Activity and tissue-specific expression of the transcription factor NF-E1 multigene family.
1990569 citationsMasayuki Yamamoto, H Beug et al.Genes & Developmentprofile →
Avian leukemia viruses interaction with their target cells in vivo and in vitro
1978369 citationsThomas Graf, H BeugBiochimica et Biophysica Acta (BBA) - Reviews on Cancerprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of H Beug'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 H Beug with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H Beug more than expected).
This network shows the impact of papers produced by H Beug. 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 H Beug. The network helps show where H Beug may publish in the future.
Co-authorship network of co-authors of H Beug
This figure shows the co-authorship network connecting the top 25 collaborators of H Beug.
A scholar is included among the top collaborators of H Beug based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with H Beug. H Beug is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Quang, Christine Tran, et al.. (1995). Spi-1 and mutant p53 regulate different aspects of the proliferation and differentiation control of primary erythroid progenitors.. PubMed. 11(7). 1229–39.12 indexed citations
4.
Vennström, Björn, et al.. (1994). Retroviral capture of c-erbB proto-oncogene sequences: rapid evolution of distinct viral genomes carrying mutant v-erbB genes with different transforming capacities.. PubMed. 9(5). 1307–20.6 indexed citations
Beug, H, et al.. (1993). Mutational analysis of the role of the carboxy-terminal region of the v-erbB protein in erythroid cell transformation.. PubMed. 8(5). 1317–27.13 indexed citations
Larsen, Jill E., Stefan Meyer, Peter Steinlein, H Beug, & M J Hayman. (1993). Transformation of chicken bone marrow cells by the v-ski oncogene.. PubMed. 8(12). 3221–8.16 indexed citations
9.
Schroeder, Christian, Leonie Gibson, & H Beug. (1992). The v-erbA oncogene requires cooperation with tyrosine kinases to arrest erythroid differentiation induced by ligand-activated endogenous c-erbA and retinoic acid receptor.. PubMed. 7(2). 203–16.33 indexed citations
10.
Schroeder, Christian, Leonie Gibson, Martin Zenke, & H Beug. (1992). Modulation of normal erythroid differentiation by the endogenous thyroid hormone and retinoic acid receptors: a possible target for v-erbA oncogene action.. PubMed. 7(2). 217–27.66 indexed citations
11.
Boehmelt, Guido, et al.. (1991). Expression of v-rel in a replication competent virus: transformation and biochemical characterization.. PubMed. 6(9). 1657–66.20 indexed citations
Scotting, Paul J., et al.. (1987). Common site of mutation in the erbB gene of avian erythroblastosis virus mutants that are temperature sensitive for transformation.. PubMed. 1(3). 265–78.8 indexed citations
Graf, Thomas & H Beug. (1978). Avian leukemia viruses interaction with their target cells in vivo and in vitro. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 516(3). 269–299.369 indexed citations breakdown →
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.