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.
Countries citing papers authored by Joseph G. Mayo
Since
Specialization
Citations
This map shows the geographic impact of Joseph G. Mayo'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 Joseph G. Mayo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph G. Mayo more than expected).
This network shows the impact of papers produced by Joseph G. Mayo. 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 Joseph G. Mayo. The network helps show where Joseph G. Mayo may publish in the future.
Co-authorship network of co-authors of Joseph G. Mayo
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph G. Mayo.
A scholar is included among the top collaborators of Joseph G. Mayo 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 Joseph G. Mayo. Joseph G. Mayo 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.
Mayo, Joseph G.. (2015). Solid Wood.20 indexed citations
Nicoletti, Maria, Paraskevi Giannakakou, Zhirong Zhan, et al.. (2001). Expression of beta-tubulin isotypes in human ovarian carcinoma xenografts and in a sub-panel of human cancer cell lines from the NCI-Anticancer Drug Screen: correlation with sensitivity to microtubule active agents.. PubMed. 7(9). 2912–22.71 indexed citations
5.
Drees, Markus, W. A. Dengler, Thomas Roth, et al.. (1997). Flavopiridol (L86-8275): selective antitumor activity in vitro and activity in vivo for prostate carcinoma cells.. PubMed. 3(2). 273–9.112 indexed citations
Shoemaker, Robert H., Donald J. Dykes, Jacqueline Plowman, et al.. (1991). Practical spontaneous metastasis model for in vivo therapeutic studies using a human melanoma.. PubMed. 51(11). 2837–41.15 indexed citations
Monks, Anne, et al.. (1988). Development of human tumor cell line panels for use in disease-oriented drug screening.. PubMed. 276. 265–86.74 indexed citations
Shoemaker, Robert H., Adi F. Gazdar, Joseph G. Mayo, et al.. (1987). Metastasis models for human tumors in athymic mice: useful models for drug development.. PubMed. 1. 291–9.6 indexed citations
16.
McLemore, Theodore L., Michael C. Alley, Betty J. Abbott, et al.. (1987). Intrabronchial Implantation. CHEST Journal. 91(3). 5s–8s.3 indexed citations
Seal, Ulysses S., Albert W. Erickson, & Joseph G. Mayo. (1970). Drug immobilisation of the Carnivora11. International Zoo Yearbook. 10(1). 157–170.19 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.