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.
The causal link between human papillomavirus and invasive cervical cancer: A population‐based case‐control study in colombia and spain
1992464 citationsN Muñoz, F. Xavier Bosch et al.International Journal of 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 N Muñoz'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 N Muñoz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N Muñoz more than expected).
This network shows the impact of papers produced by N Muñoz. 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 N Muñoz. The network helps show where N Muñoz may publish in the future.
Co-authorship network of co-authors of N Muñoz
This figure shows the co-authorship network connecting the top 25 collaborators of N Muñoz.
A scholar is included among the top collaborators of N Muñoz 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 N Muñoz. N Muñoz 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.
Bosch, F. Xavier, Silvia de Sanjosé, Xavier Castellsagué, et al.. (2006). Epidemiology of human papillomavirus infections and associations with cervical cancer: new opportunities for prevention.. 19–39.11 indexed citations
Connolly, Denise C., David L. Greenspan, Rong Wu, et al.. (2000). Loss of fhit expression in invasive cervical carcinomas and intraepithelial lesions associated with invasive disease.. PubMed. 6(9). 3505–10.52 indexed citations
4.
Sanjosé, Sílvia de, F. Xavier Bosch, N Muñoz, & K. V. Shah. (1997). Social differences in sexual behaviour and cervical cancer.. PubMed. 309–17.71 indexed citations
Castelletto, R, et al.. (1995). Alcohol, tobacco, diet, mate drinking, and esophageal cancer in Argentina.. PubMed. 3(7). 557–64.87 indexed citations
10.
Sierra, Rosa A., Anne Chinnock, Hiroshi Ohshima, et al.. (1994). In vivo nitrosoproline formation and other risk factors in Costa Rican children from high- and low-risk areas for gastric cancer.. PubMed. 2(6). 563–8.16 indexed citations
Benamouzig, Robert, Véronique Ezratty, & N Muñoz. (1994). [Etiological factors and mechanisms of epidermoid cancer of the esophagus. 2: Pathology, cellular and molecular mechanisms associated with tumoral development].. PubMed. 18(1). 26–32.2 indexed citations
Muñoz, N, F. Xavier Bosch, Sílvia de Sanjosé, et al.. (1993). El virus del papiloma humano en la etiología del cancer cervicouterino. 115(4). 301–309.8 indexed citations
Muñoz, N, F. Xavier Bosch, Silvia de Sanjosé, et al.. (1992). The causal link between human papillomavirus and invasive cervical cancer: A population‐based case‐control study in colombia and spain. International Journal of Cancer. 52(5). 743–749.464 indexed citations breakdown →
Muñoz, N, et al.. (1988). Prospects for epidemiological studies on hepatocellular cancer as a model for assessing viral and chemical interactions.. PubMed. 427–38.22 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.