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.
ROLE OF CHANCE OBSERVATIONS IN CHEMOTHERAPY: VINCA ROSEA*
1958293 citationsJames Noble, C. T. Beer et al.Annals of the New York Academy of Sciencesprofile →
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 J H Cutts'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 J H Cutts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J H Cutts more than expected).
This network shows the impact of papers produced by J H Cutts. 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 J H Cutts. The network helps show where J H Cutts may publish in the future.
Co-authorship network of co-authors of J H Cutts
This figure shows the co-authorship network connecting the top 25 collaborators of J H Cutts.
A scholar is included among the top collaborators of J H Cutts 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 J H Cutts. J H Cutts 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.
Sykuta, Michael E., Peter G. Klein, & J H Cutts. (2007). Cori K-Base: Data Overview. SSRN Electronic Journal.2 indexed citations
2.
Patrick, Timothy B., et al.. (1995). PEP: An Information and Decision Support System for Osteoarthritis Patients. PubMed Central. 984–984.2 indexed citations
Krause, William J., J H Cutts, & C. Roland Leeson. (1977). The postnatal development of the alimentary canal in the opossum. III. Small intestine and colon.. PubMed. 123(Pt 1). 21–45.27 indexed citations
11.
Krause, William J., J H Cutts, & C. Roland Leeson. (1976). The postnatal development of the alimentary canal in the opossum. II. Stomach.. PubMed. 122(Pt 3). 499–519.20 indexed citations
12.
Cutts, J H, C. Roland Leeson, & William J. Krause. (1973). The postnatal development of the liver in a marsupial, Didelphis virginiana. 1. Light microscopy.. PubMed. 115(Pt 1). 191–205.23 indexed citations
13.
Cutts, J H. (1970). Cell separation : methods in hematology. Academic Press eBooks.46 indexed citations
Cutts, J H, et al.. (1968). Regression of estrone-induced mammary tumors in the rat.. PubMed. 28(12). 2413–8.13 indexed citations
16.
Carroll, K. K., J H Cutts, & Edward Murray. (1968). The lipids of Listeria monocytogenes. Canadian Journal of Biochemistry. 46(8). 899–904.48 indexed citations
17.
Cutts, J H. (1964). Estrone-induced Mammary Tumors in the Rat II. Effect of Alterations in the Hormonal Environment on Tumor Induction, Behavior, and Growth. Cancer Research. 24(7). 1124–1130.20 indexed citations
18.
Darte, J. M. M., et al.. (1960). Some biological effects of Vincaleukoblastine, an alkaloid in Vinca rosea Linn in patients with malignant disease.. PubMed. 20. 1032–40.47 indexed citations
19.
Noble, R. L. & J H Cutts. (1959). Mammary tumors of the rat: a review.. PubMed. 19. 1125–39.53 indexed citations
20.
Noble, James, C. T. Beer, & J H Cutts. (1958). ROLE OF CHANCE OBSERVATIONS IN CHEMOTHERAPY: VINCA ROSEA*. Annals of the New York Academy of Sciences. 76(3). 882–894.293 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.