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.
Lung cancer identification by the analysis of breath by means of an array of non-selective gas sensors
2003513 citationsCorrado Di Natale, Antonella Macagnano et al.Biosensors and Bioelectronicsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of C Roscioni'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 C Roscioni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C Roscioni more than expected).
This network shows the impact of papers produced by C Roscioni. 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 C Roscioni. The network helps show where C Roscioni may publish in the future.
Co-authorship network of co-authors of C Roscioni
This figure shows the co-authorship network connecting the top 25 collaborators of C Roscioni.
A scholar is included among the top collaborators of C Roscioni 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 C Roscioni. C Roscioni is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
D’Amico, A., Corrado Di Natale, Roberto Paolesse, et al.. (2007). Olfactory systems for medical applications. Sensors and Actuators B Chemical. 130(1). 458–465.121 indexed citations
7.
Natale, Corrado Di, Roberto Paolesse, Giorgio Pennazza, et al.. (2005). Identification of schizophrenic patients by examination of body odor using gas chromatography-mass spectrometry and a cross-selective gas sensor array.. PubMed. 11(8). CR366–75.21 indexed citations
8.
Natale, Corrado Di, Antonella Macagnano, Eugenio Martinelli, et al.. (2003). Lung cancer identification by the analysis of breath by means of an array of non-selective gas sensors. Biosensors and Bioelectronics. 18(10). 1209–1218.513 indexed citations breakdown →
9.
Roscioni, C, et al.. (1988). [Bacterial agents responsible for urinary tract infections. III. A clinico-statistical contribution].. PubMed. 126(3). 207–15.1 indexed citations
10.
Roscioni, C, et al.. (1982). [Analgesic, antipyretic and anti-rheumatic activity of 2 preparations evaluated in a multicenter clinical trial].. PubMed. 103(5). 535–54.1 indexed citations
11.
Roscioni, C, et al.. (1968). [On the possibility of using odors as a diagnostic test of disease (preliminary note)].. PubMed. 28(4). 457–61.4 indexed citations
12.
D’Agostino, Norma Mammone, et al.. (1966). [On a case of diffuse pulmonary fibrosis secondary to saw dust pneumoconiosis].. PubMed. 35(9). 796–800.1 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.