E. De Rosa

23 papers receiving 565 citations

Peers

E. De Rosa
Comparison fields: 5 of 93
  • Chemical Health and Safety 30
  • Cancer Research 127
  • Sensory Systems 34
  • Health, Toxicology and Mutagenesis 95
  • Pulmonary and Respiratory Medicine 174
Replace Damiano Carbonari with:
Damiano Carbonari Italy
P Padovani Italy
Robert Gealy United States
Sue McKay Netherlands
Kit A. Keller United States
Ine Kuipers United States
Helori Vanni Domingos Brazil
Brenda V. Dawson United States
Juan Zhu China
Petra Pietarinen-Runtti Finland
E. De Rosa relative to Damiano Carbonari Italy Damiano Carbonari's profile →
Citations per field
00.5×3.8×
Damiano Carbonari · 1×
Citations per year

Countries citing papers authored by E. De Rosa

Since Specialization
Citations

This map shows the geographic impact of E. De Rosa'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 E. De Rosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. De Rosa more than expected).

Fields of papers citing papers by E. De Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. De Rosa. 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 E. De Rosa. The network helps show where E. De Rosa may publish in the future.

Co-authors

The 25 scholars most cited alongside E. De Rosa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with E. De Rosa Line = papers co-authored together E. De Rosa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006136
2 200792
3 200362
4 199643
5 198541
6 198635
7 198733
8 201030
9 199327
10 199324
11 199220
12 198810
13 19857
14
Alergia Alimentar em Crianças numa Consulta de Imunoalergologia
19997
15 20096
16
Effect of somatostatin on the pituitary-thyroid axis.
19835
17 19984
18 19943
19
Macrophage expression of IL-10 is a prognostic factor in non-small cell lung cancer.
20073
20 20042

About E. De Rosa

E. De Rosa is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis, Oncology, Chemical Health and Safety and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 594 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (8 papers), Chemical Safety and Risk Management (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Immune cells in cancer (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Effects and risks of endocrine disrupting chemicals (2 papers), Pesticide Exposure and Toxicity (2 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers). The work is most often cited by research in Chemical Health and Safety (30 citations), Cancer Research (127 citations), Sensory Systems (34 citations), Health, Toxicology and Mutagenesis (95 citations) and Pulmonary and Respiratory Medicine (174 citations). E. De Rosa has collaborated with scholars based in Italy, China and Belgium. Frequent co-authors include Giovanni Battista Bartolucci, Leonardo M. Fabbri, Luigi Perbellini, F Brugnone, Deborah Miotto, Elena Zeni, Piera Boschetto, Alberto Papi, C Mapp and Cristina E. Mapp. Their work appears in journals such as International Archives of Occupational and Environmental Health, European Respiratory Journal, American Journal of Industrial Medicine, Occupational and Environmental Medicine and Thorax.

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.

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