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.
Cancer risk from exposure to galactic cosmic rays: implications for space exploration by human beings
2006509 citationsFrancis A. Cucinotta et al.profile →
Heavy ion carcinogenesis and human space exploration
2008431 citationsFrancis A. Cucinotta et al.profile →
Measurements of Energetic Particle Radiation in Transit to Mars on the Mars Science Laboratory
2013428 citationsC. Zeitlin, Donald M. Hassler et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Francis A. Cucinotta
Since
Specialization
Citations
This map shows the geographic impact of Francis A. Cucinotta'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 Francis A. Cucinotta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francis A. Cucinotta more than expected).
Fields of papers citing papers by Francis A. Cucinotta
This network shows the impact of papers produced by Francis A. Cucinotta. 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 Francis A. Cucinotta. The network helps show where Francis A. Cucinotta may publish in the future.
Co-authorship network of co-authors of Francis A. Cucinotta
This figure shows the co-authorship network connecting the top 25 collaborators of Francis A. Cucinotta.
A scholar is included among the top collaborators of Francis A. Cucinotta 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 Francis A. Cucinotta. Francis A. Cucinotta is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Berger, Thomas, et al.. (2010). Depth dose distribution study within a phantom torso after irradiation with a simulated Solar Particle Event at NSRL. 38. 8.1 indexed citations
8.
Kim, Myung‐Hee Y., Matthew J. Hayat, Alan H. Feiveson, & Francis A. Cucinotta. (2008). Propensity and Risk Assessment for Solar Particle Events: Consideration of Integral Fluence at High Proton Energies. 37. 1514.
Nguyen, David H., et al.. (2007). Image-Based Modeling Reveals Dynamic Redistribution of DNA Damage into Nuclear Sub-Domains. PLoS Computational Biology. 3(7).20 indexed citations
Nealy, John E., et al.. (2002). Transport of Space Environment Electrons: A Simplified Rapid-Analysis Computational Procedure. Insecta mundi. 2. 41463.11 indexed citations
16.
Tripathi, R. K., Francis A. Cucinotta, & John Wilson. (1998). Extraction of In-Medium Nucleon-Nucleon Amplitude From Experiment. NASA Technical Reports Server (NASA).3 indexed citations
Wilson, John, et al.. (1997). Galactic and Solar Cosmic Ray Shielding in Deep Space.32 indexed citations
19.
Cucinotta, Francis A.. (1994). Multiple-scattering model for inclusive proton production in heavy ion collisions. NASA Technical Reports Server (NASA).4 indexed citations
20.
Wilson, John, Lawrence W. Townsend, John E. Nealy, et al.. (1989). BRYNTRN: A baryon transport model. NASA STI/Recon Technical Report N. 89. 17562.87 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.