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.
Modeling the Effects of Dust on Galactic Spectral Energy Distributions from the Ultraviolet to the Millimeter Band
1998565 citationsL. Silva, G. L. Granato et al.The Astrophysical Journalprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of L. Danese'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 L. Danese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Danese more than expected).
This network shows the impact of papers produced by L. Danese. 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 L. Danese. The network helps show where L. Danese may publish in the future.
Co-authorship network of co-authors of L. Danese
This figure shows the co-authorship network connecting the top 25 collaborators of L. Danese.
A scholar is included among the top collaborators of L. Danese 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 L. Danese. L. Danese is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
González-Nuevo, J., Andrea Lapi, L. Bonavera, et al.. (2017). H-ATLAS/GAMA: magnification bias tomography. Astrophysical constraints above similar to 1 arcmin. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas).20 indexed citations
Bressan, A., P. Panuzzo, L. M. Buson, et al.. (2006). The SPITZER IRS view of stellar populations in Virgo early type galaxies. CERN Bulletin. 381. 12.1 indexed citations
14.
Panuzzo, P., A. Bressan, G. L. Granato, L. Silva, & L. Danese. (2003). Dust and nebular emission. Astronomy and Astrophysics. 409(1). 99–114.72 indexed citations
15.
Franceschini, A., L. Silva, G. L. Granato, A. Bressan, & L. Danese. (1997). Old Massive Ellipticals and S0 in the Hubble Deep Field Vanish from View at $z>1.3$: Possible Solutions of the Enigma. The Astrophysical Journal.1 indexed citations
16.
Mandolesi, N., A. Franceschini, S. Cortiglioni, et al.. (1997). Balloon observations of the diffuse near-IR sky emission. ASPC. 124. 367.1 indexed citations
17.
Danese, L., L. Toffolatti, A. Franceschini, M. Bersanelli, & N. Mandolesi. (1996). SUB--DEGREE ANISOTROPY OBSERVATIONS: GROUND--BASED, BALLOON--BORNE AND SPACE EXPERIMENTS. CERN Bulletin. 33. 257.2 indexed citations
18.
Franceschini, A., L. Toffolatti, P. Mazzei, L. Danese, & G. de Zotti. (1991). Galaxy counts and contributions to the background radiation from 1 μm to 1000 mim.. Astronomy & Astrophysics Supplement Series. 89(2). 285–310.5 indexed citations
19.
Danese, L. & G. de Zotti. (1981). Dipole anisotropy and distortions of the spectrum of the cosmic microwave background. A&A. 94(2).1 indexed citations
20.
Cavaliere, A., L. Danese, & G. de Zotti. (1979). Cosmic distances from X-ray and microwave observations of clusters of galaxies.. A&A. 75(3). 322–325.1 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.