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.
Genome-wide analysis of estrogen receptor binding sites
20061.1k citationsJason S. Carroll, Clifford A. Meyer et al.Nature Geneticsprofile →
Transcriptional Maps of 10 Human Chromosomes at 5-Nucleotide Resolution
2005881 citationsJill Cheng, Philipp Kapranov et al.Scienceprofile →
Unbiased Mapping of Transcription Factor Binding Sites along Human Chromosomes 21 and 22 Points to Widespread Regulation of Noncoding RNAs
2004876 citationsSimon Cawley, Stefan Bekiranov et al.Cellprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Victor Sementchenko
Since
Specialization
Citations
This map shows the geographic impact of Victor Sementchenko'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 Victor Sementchenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victor Sementchenko more than expected).
Fields of papers citing papers by Victor Sementchenko
This network shows the impact of papers produced by Victor Sementchenko. 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 Victor Sementchenko. The network helps show where Victor Sementchenko may publish in the future.
Co-authorship network of co-authors of Victor Sementchenko
This figure shows the co-authorship network connecting the top 25 collaborators of Victor Sementchenko.
A scholar is included among the top collaborators of Victor Sementchenko 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 Victor Sementchenko. Victor Sementchenko is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Carroll, Jason S., Clifford A. Meyer, Jun S. Song, et al.. (2006). Genome-wide analysis of estrogen receptor binding sites. Nature Genetics. 38(11). 1289–1297.1078 indexed citations breakdown →
Cheng, Jill, Philipp Kapranov, Jörg Drenkow, et al.. (2005). Transcriptional Maps of 10 Human Chromosomes at 5-Nucleotide Resolution. Science. 308(5725). 1149–1154.881 indexed citations breakdown →
Cawley, Simon, Stefan Bekiranov, Huck‐Hui Ng, et al.. (2004). Unbiased Mapping of Transcription Factor Binding Sites along Human Chromosomes 21 and 22 Points to Widespread Regulation of Noncoding RNAs. Cell. 116(4). 499–509.876 indexed citations breakdown →
Feldman, Ron J., et al.. (2003). Pdef expression in human breast cancer is correlated with invasive potential and altered gene expression.. PubMed. 63(15). 4626–31.95 indexed citations
11.
Kampa, Dione, Philipp Kapranov, Stefan Bekiranov, et al.. (2003). Global mapping of functionally-important and regulatory regions on human chromosomes 21 and 22 reveal novel regulatory networks in the human genome. Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory).1 indexed citations
12.
Feldman, Ron J., Victor Sementchenko, & Dennis K. Watson. (2003). The epithelial-specific Ets factors occupy a unique position in defining epithelial proliferation, differentiation and carcinogenesis.. PubMed. 23(3A). 2125–31.57 indexed citations
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.