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.
This map shows the geographic impact of Sherri Chubb'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 Sherri Chubb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sherri Chubb more than expected).
This network shows the impact of papers produced by Sherri Chubb. 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 Sherri Chubb. The network helps show where Sherri Chubb may publish in the future.
Co-authorship network of co-authors of Sherri Chubb
This figure shows the co-authorship network connecting the top 25 collaborators of Sherri Chubb.
A scholar is included among the top collaborators of Sherri Chubb 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 Sherri Chubb. Sherri Chubb is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Chen, Rong, Sherri Chubb, Ute Hoch, et al.. (2008). SNS-032, a novel inhibitor of cyclin-dependent kinases 2, 7 and 9, blocks transcription of cyclin D1 and Mcl-1, causing cell death in mantle cell lymphoma cell lines. Cancer Research. 68. 756–756.1 indexed citations
Gandhi, Varsha, Shin Mineishi, Ping Huang, et al.. (1995). Cytotoxicity, metabolism, and mechanisms of action of 2',2'-difluorodeoxyguanosine in Chinese hamster ovary cells.. PubMed. 55(7). 1517–24.31 indexed citations
6.
Gandhi, Varsha, Shin Mineishi, Peng Huang, et al.. (1995). Difluorodeoxyguanosine: cytotoxicity, metabolism, and actions on DNA synthesis in human leukemia cells.. PubMed. 22(4 Suppl 11). 61–7.34 indexed citations
Heinemann, Volker, Sherri Chubb, Arindam Sen, et al.. (1992). Cellular elimination of 2',2'-difluorodeoxycytidine 5'-triphosphate: a mechanism of self-potentiation.. PubMed. 52(3). 533–9.276 indexed citations
Plunkett, William & Sherri Chubb. (1985). Toxicity, metabolism and incorporation into DNA and RNA of arabinosyl-2-fluoroadenine (F-araA). Proceedings of the American Association for Cancer Research. 26.8 indexed citations
16.
Plunkett, William, Verena Hug, Michael J. Keating, & Sherri Chubb. (1980). Quantitation of 1-beta-D-arabinofuranosylcytosine 5'-triphosphate in the leukemic cells from bone marrow and peripheral blood of patients receiving 1-beta-D-arabinofuranosylcytosine therapy.. PubMed. 40(3). 588–91.70 indexed citations
Plunkett, William, et al.. (1979). Comparison of the action of 9-β-D-arabinofuranosyl-2-fluoroadenine (F-ARA-A) with 9-β-D-Arabinofuranosyladenine (ARA-A) in CCRF-CEM cells 9-β-Arabinofuranosyladenine (ARA-A) in CCRF-CEM cells. Proceedings of the American Association for Cancer Research. 20.1 indexed citations
19.
Plunkett, William, et al.. (1979). Biochemical basis of the increased activity of 9-beta-D-arabinofuranosyladenine in the presence of inhibitors of adenosine deaminase.. PubMed. 39(9). 3655–60.14 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.