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.
A technique for radiolabeling DNA restriction endonuclease fragments to high specific activity
198324.0k citationsBert Vogelstein et al.profile →
Countries citing papers authored by Bert Vogelstein
Since
Specialization
Citations
This map shows the geographic impact of Bert Vogelstein'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 Bert Vogelstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bert Vogelstein more than expected).
This network shows the impact of papers produced by Bert Vogelstein. 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 Bert Vogelstein. The network helps show where Bert Vogelstein may publish in the future.
Co-authorship network of co-authors of Bert Vogelstein
This figure shows the co-authorship network connecting the top 25 collaborators of Bert Vogelstein.
A scholar is included among the top collaborators of Bert Vogelstein 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 Bert Vogelstein. Bert Vogelstein is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Llosa, Nicolás J., Michael Cruise, Ada Tam, et al.. (2014). The Vigorous Immune Microenvironment of Microsatellite Instable Colon Cancer Is Balanced by Multiple Counter-Inhibitory Checkpoints. Cancer Discovery. 5(1). 43–51.1112 indexed citations breakdown →
Díaz, Luis A., Richard T. Williams, Jian Wu, et al.. (2012). The molecular evolution of acquired resistance to targeted EGFR blockade in colorectal cancers. Nature. 486(7404). 537–540.1290 indexed citations breakdown →
Yun, Jihye, Carlo Rago, Ian Cheong, et al.. (2009). Glucose Deprivation Contributes to the Development of KRAS Pathway Mutations in Tumor Cells. Science. 325(5947). 1555–1559.724 indexed citations breakdown →
13.
Jones, Siân, Wei-Dong Chen, Giovanni Parmigiani, et al.. (2008). Comparative lesion sequencing provides insights into tumor evolution. Proceedings of the National Academy of Sciences. 105(11). 4283–4288.596 indexed citations breakdown →
Cummins, Jordan M., Yiping He, Rebecca Leary, et al.. (2006). The colorectal microRNAome. Proceedings of the National Academy of Sciences. 103(10). 3687–3692.757 indexed citations breakdown →
16.
Samuels, Yardena, Zhenghe Wang, Alberto Bardelli, et al.. (2004). High Frequency of Mutations of the PIK3CA Gene in Human Cancers. Science. 304(5670). 554–554.2708 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.