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.
Mutations in the p53 gene occur in diverse human tumour types
19892.4k citationsJanice Nigro, Suzanne J. Baker et al.Natureprofile →
Molecular subclasses of high-grade glioma predict prognosis, delineate a pattern of disease progression, and resemble stages in neurogenesis
20062.3k citationsHeidi Phillips, Samir Kharbanda et al.Cancer Cellprofile →
Chromosome 17 Deletions and p53 Gene Mutations in Colorectal Carcinomas
19891.7k citationsSuzanne J. Baker, Eric R. Fearon et al.Scienceprofile →
Identification of a Chromosome 18q Gene that Is Altered in Colorectal Cancers
19901.4k citationsEric R. Fearon, Kathleen R. Cho et al.Scienceprofile →
Scrambled exons
1991774 citationsJanice Nigro, Kathleen R. Cho et al.Cellprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Janice Nigro'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 Janice Nigro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janice Nigro more than expected).
This network shows the impact of papers produced by Janice Nigro. 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 Janice Nigro. The network helps show where Janice Nigro may publish in the future.
Co-authorship network of co-authors of Janice Nigro
This figure shows the co-authorship network connecting the top 25 collaborators of Janice Nigro.
A scholar is included among the top collaborators of Janice Nigro 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 Janice Nigro. Janice Nigro is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Phillips, Heidi, Samir Kharbanda, Ruihuan Chen, et al.. (2006). Molecular subclasses of high-grade glioma predict prognosis, delineate a pattern of disease progression, and resemble stages in neurogenesis. Cancer Cell. 9(3). 157–173.2311 indexed citations breakdown →
Fearon, Eric R., Kathleen R. Cho, Janice Nigro, et al.. (1990). Identification of a Chromosome 18q Gene that Is Altered in Colorectal Cancers. Science. 247(4938). 49–56.1410 indexed citations breakdown →
16.
Nigro, Janice, Suzanne J. Baker, Antonette C. Preisinger, et al.. (1989). Mutations in the p53 gene occur in diverse human tumour types. Nature. 342(6250). 705–708.2370 indexed citations breakdown →
17.
Baker, Suzanne J., Eric R. Fearon, Janice Nigro, et al.. (1989). Chromosome 17 Deletions and p53 Gene Mutations in Colorectal Carcinomas. Science. 244(4901). 217–221.1664 indexed citations breakdown →
18.
Nigro, Janice, Clifford W. Schweinfest, Aleksandar Rajkovic, et al.. (1987). cDNA cloning and mapping of the human creatine kinase M gene to 19q13.. PubMed. 40(2). 115–25.53 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.