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.
p53-Mediated Activation of miRNA34 Candidate Tumor-Suppressor Genes
2007918 citationsGuido T. Bommer, Isabelle Gerin et al.Current Biologyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Robert Love'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 Robert Love with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Love more than expected).
This network shows the impact of papers produced by Robert Love. 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 Robert Love. The network helps show where Robert Love may publish in the future.
Co-authorship network of co-authors of Robert Love
This figure shows the co-authorship network connecting the top 25 collaborators of Robert Love.
A scholar is included among the top collaborators of Robert Love 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 Robert Love. Robert Love is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Love, Robert. (2007). Linux System Programming: Talking Directly to the Kernel and C Library.13 indexed citations
2.
Bommer, Guido T., Isabelle Gerin, Ying Feng, et al.. (2007). p53-Mediated Activation of miRNA34 Candidate Tumor-Suppressor Genes. Current Biology. 17(15). 1298–1307.918 indexed citations breakdown →
3.
Love, Robert. (2005). Get on the D-BUS. Linux journal. 2005(130). 3.10 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.