Angelo De Cata

29 papers receiving 452 citations

Peers

Angelo De Cata
Comparison fields: 5 of 75
  • Endocrine and Autonomic Systems 130
  • Aging 18
  • Biological Psychiatry 19
  • Rheumatology 85
  • Behavioral Neuroscience 16
Replace Tiphaine Mannic with:
Tiphaine Mannic Switzerland
Alexandru Tatomir United States
Chaoming Mao China
Bibiana Moreno-Carranza Mexico
Masaya Takeda Japan
Cristiana Pistono Italy
Zhengmin Ma China
Huali Lin China
Laura Negrotto Argentina
Todd Shawler United States
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Citations per field
00.5×6.3×
Tiphaine Mannic · 1×
Citations per year

Countries citing papers authored by Angelo De Cata

Since Specialization
Citations

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

Fields of papers citing papers by Angelo De Cata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Angelo De Cata, 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 Angelo De Cata Line = papers co-authored together Angelo De Cata links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201043
2 201939
3 201434
4 201033
5
Melatonin and cortisol serum levels in lung cancer patients at different stages of disease.
200532
6 201625
7 200924
8 201622
9 201321
10 201121
11 201021
12 201619
13
Neuroendocrine alterations in lung cancer patients.
200317
14 202017
15
A possible mechanism for altered immune response in the elderly.
201014
16 201613
17 201013
18 201013
19 201411
20 20169

About Angelo De Cata

Angelo De Cata is a scholar working on Endocrine and Autonomic Systems, Immunology, Epidemiology, Rheumatology and Physiology, having authored 30 papers that have together received 470 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (10 papers), Stress Responses and Cortisol (4 papers), Systemic Lupus Erythematosus Research (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Asthma and respiratory diseases (2 papers), Immune Cell Function and Interaction (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers) and Renal Diseases and Glomerulopathies (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (130 citations), Aging (18 citations), Biological Psychiatry (19 citations), Rheumatology (85 citations) and Behavioral Neuroscience (16 citations). Angelo De Cata has collaborated with scholars based in Italy, Netherlands and United Kingdom. Frequent co-authors include Gianluigi Mazzoccoli, Gianluigi Vendemiale, Roberto Tarquini, Rosa Rubino, Mariangela Pia Dagostino, Antonio Greco, Ada Piepoli, Federico Perfetto, Manlio Vinciguerra and Vito D’Alessandro. Their work appears in journals such as Clinical and Experimental Medicine, Oncotarget, Scientific Reports, European Journal of Gastroenterology & Hepatology and Chronobiology International.

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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