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 Clark Gm'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 Clark Gm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clark Gm more than expected).
This network shows the impact of papers produced by Clark Gm. 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 Clark Gm. The network helps show where Clark Gm may publish in the future.
Co-authorship network of co-authors of Clark Gm
This figure shows the co-authorship network connecting the top 25 collaborators of Clark Gm.
A scholar is included among the top collaborators of Clark Gm 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 Clark Gm. Clark Gm is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
14 of 14 papers shown
1.
Bagwell, C. Bruce, Clark Gm, F. Spyratos, et al.. (2001). Multivariate analyses of flow cytometric S-phase and ploidy as node-negative breast cancer prognostic factors : an international and multi-center study. Breast Cancer Research and Treatment. 69(3). 260–260.1 indexed citations
Fitzgibbons, Patrick L., Donald L. Weaver, AD Thor, et al.. (2000). Prognostic factors in breast cancer. College of American Pathologists Consensus Statement 1999.. Archives of Pathology & Laboratory Medicine. 124(7). 966–78.808 indexed citations breakdown →
Papa, Vincenzo, Biancamaria Gliozzo, Clark Gm, et al.. (1993). Insulin-like growth factor-I receptors are overexpressed and predict a low risk in human breast cancer.. PubMed. 53(16). 3736–40.193 indexed citations
9.
Gray, R, et al.. (1992). Prognostic potential of DNA flow cytometry measurements in node-negative breast cancer patients: preliminary analysis of an intergroup study (INT 0076).. PubMed. 167–72.16 indexed citations
Wang, Dong‐Yu, et al.. (1986). Identification of women at high risk of breast cancer.. PubMed. 7 Suppl. S5–10.16 indexed citations
12.
Wl, McGuire, et al.. (1986). Role of steroid hormone receptors as prognostic factors in primary breast cancer.. PubMed. 19–23.83 indexed citations
13.
Jw, Moore, et al.. (1984). Oestrogens and the etiology and clinical course of breast cancer.. PubMed. 385–95.2 indexed citations
14.
Gm, Clark, et al.. (1983). The importance of estrogen and progesterone receptor in primary breast cancer.. PubMed. 132E. 183–90.18 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.