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.
Comparative Genomic Hybridization for Molecular Cytogenetic Analysis of Solid Tumors
19922.5k citationsAnne Kallioniemi, Olli Kallioniemi et al.profile →
Optimizing comparative genomic hybridization for analysis of DNA sequence copy number changes in solid tumors
1994894 citationsOlli Kallioniemi, Anne Kallioniemi et al.Genes Chromosomes and Cancerprofile →
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 Fred Waldman'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 Fred Waldman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred Waldman more than expected).
This network shows the impact of papers produced by Fred Waldman. 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 Fred Waldman. The network helps show where Fred Waldman may publish in the future.
Co-authorship network of co-authors of Fred Waldman
This figure shows the co-authorship network connecting the top 25 collaborators of Fred Waldman.
A scholar is included among the top collaborators of Fred Waldman 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 Fred Waldman. Fred Waldman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lianes, P., Elizabeth Charytonowicz, Carlos Cordon‐Cardo, et al.. (1998). Biomarker study of primary nonmetastatic versus metastatic invasive bladder cancer. National Cancer Institute Bladder Tumor Marker Network.. PubMed. 4(5). 1267–71.20 indexed citations
8.
Wagner, U., Lukas Bubendorf, Thomas C. Gasser, et al.. (1997). Chromosome 8p deletions are associated with invasive tumor growth in urinary bladder cancer.. Europe PMC (PubMed Central). 151(3). 753–9.88 indexed citations
9.
Xie, Jingwu, Ronald L. Johnson, Xiaoli Zhang, et al.. (1997). Mutations of the PATCHED gene in several types of sporadic extracutaneous tumors.. PubMed. 57(12). 2369–72.246 indexed citations
Sarkis, A. S., Elizabeth Charytonowicz, Carlos Cordon‐Cardo, et al.. (1994). Blood group antigen expression in bladder tumors: An immunohistochemical study of superficial bladder lesions. Journal of Experimental & Clinical Cancer Research. 13(2). 139–144.5 indexed citations
Kallioniemi, Olli, Anne Kallioniemi, Jim Piper, et al.. (1994). Optimizing comparative genomic hybridization for analysis of DNA sequence copy number changes in solid tumors. Genes Chromosomes and Cancer. 10(4). 231–243.894 indexed citations breakdown →
14.
Sauter, Guido, Holger Moch, David A. Moore, et al.. (1993). Heterogeneity of erbB-2 gene amplification in bladder cancer.. PubMed. 53(10 Suppl). 2199–203.161 indexed citations
15.
Waldman, Fred, Peter R. Carroll, Michael B. Cohen, et al.. (1993). 5-Bromodeoxyuridine incorporation and PCNA expression as measures of cell proliferation in transitional cell carcinoma of the urinary bladder.. PubMed. 6(1). 20–4.20 indexed citations
Christov, Konstantin, Karen Chew, Britt‐Marie Ljung, et al.. (1991). Proliferation of normal breast epithelial cells as shown by in vivo labeling with bromodeoxyuridine.. PubMed. 138(6). 1371–7.25 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.