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.
Accumulation of p53 Tumor Suppressor Gene Protein: An Independent Marker of Prognosis in Breast Cancers
1992638 citationsAnn D. Thor, Dan H. Moore et al.JNCI Journal of the National Cancer Instituteprofile →
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 Joseph Marcus'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 Marcus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Marcus more than expected).
This network shows the impact of papers produced by Joseph Marcus. 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 Marcus. The network helps show where Joseph Marcus may publish in the future.
Co-authorship network of co-authors of Joseph Marcus
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Marcus.
A scholar is included among the top collaborators of Joseph Marcus 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 Marcus. Joseph Marcus is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bacus, S S, C R Zelnick, D Chin, et al.. (1994). Medullary carcinoma is associated with expression of intercellular adhesion molecule-1. Implication to its morphology and its clinical behavior.. PubMed. 145(6). 1337–48.25 indexed citations
11.
Thor, Ann D., Dan H. Moore, S M Edgerton, et al.. (1992). Accumulation of p53 Tumor Suppressor Gene Protein: An Independent Marker of Prognosis in Breast Cancers. JNCI Journal of the National Cancer Institute. 84(11). 845–855.638 indexed citations breakdown →
Lynch, Henry T., T. C. Smyrk, S. J. Lanspa, et al.. (1988). Pathology and genetic markers of colorectal cancer in Lynch syndromes I and II. 3(4). 341–350.4 indexed citations
Lynch, Henry T., Thomas C. Smyrk, S. J. Lanspa, et al.. (1988). Flat Adenomas in a Colon Cancer-Prone Kindred1. JNCI Journal of the National Cancer Institute. 80(4). 278–282.89 indexed citations
17.
Lynch, Henry T., Patrice Watson, S. J. Lanspa, et al.. (1988). Clinical nuances of Lynch syndromes I and II.. PubMed. 279. 177–88.3 indexed citations
18.
Marcus, Joseph, et al.. (1986). Dust Forward Scatter Brightness Enhancement in Previous Apparitions of Halley's Comet. ESASP. 250. 359.3 indexed citations
19.
Marcus, Joseph. (1981). The 'Delta Effect' in Halley's 1910 Light Curve. 31(31). 2–4.2 indexed citations
20.
Marcus, Joseph, et al.. (1980). P Bradfield's Brightness Behavior. 2.1 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.