Ν. Fabris

3.5k citations
97 papers · 2.7k indexed · h-index 30

Ν. Fabris

95 papers receiving 2.5k citations

Peers

Ν. Fabris
Comparison fields: 5 of 116
  • Behavioral Neuroscience 249
  • Aging 103
  • Endocrinology, Diabetes and Metabolism 619
  • Immunology 745
  • Nutrition and Dietetics 509
Replace Mario Muzzioli with:
Mario Muzzioli Italy
R. Goberna Spain
Michael R. Adams United States
Francine Z. Marques Australia
Christina Alves Peixoto Brazil
Graeme I. Lancaster Australia
Christelle Veyrat‐Durebex Switzerland
Hong Ji United States
Klara Sjögren Sweden
Toshiyuki Yasui Japan
Ν. Fabris relative to Mario Muzzioli Italy Mario Muzzioli's profile →
Citations per field
00.5×8.3×
Mario Muzzioli · 1×
Citations per year

Countries citing papers authored by Ν. Fabris

Since Specialization
Citations

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

Fields of papers citing papers by Ν. Fabris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ν. Fabris. 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 Ν. Fabris. The network helps show where Ν. Fabris may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 1995100
2 199589
3 19946
4 199317
5 199212
6 19926
7 19927
8 199216
9 19925
10 19917
11 199111
12
Plasticity of neuroendocrine-immune interactions during aging.
19916
13 199030
14 19907
15 199038
16 19901
17 199023
18 19908
19 19817
20
Hormones and the immunological capacity. 3. The immunodeficiency disease of the hypopituitary Snell-Bagg dwarf mouse.
197191

About Ν. Fabris

Ν. Fabris is a scholar working on Behavioral Neuroscience, Aging, Immunology, Endocrine and Autonomic Systems and Endocrinology, Diabetes and Metabolism, having authored 97 papers that have together received 2.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), Growth Hormone and Insulin-like Growth Factors (12 papers), Reproductive System and Pregnancy (11 papers), Trace Elements in Health (11 papers), Diabetes and associated disorders (7 papers), Stress Responses and Cortisol (7 papers), T-cell and B-cell Immunology (7 papers) and Neuropeptides and Animal Physiology (6 papers). The work is most often cited by research in Behavioral Neuroscience (249 citations), Aging (103 citations), Endocrinology, Diabetes and Metabolism (619 citations), Immunology (745 citations) and Nutrition and Dietetics (509 citations). Ν. Fabris has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include Eugenio Mocchegiani, Walter Pierpaoli, E. Sorkin, Mauro Provinciali, Mario Muzzioli, Carlo Baroni, L. Piantanelli, Federico Licastro, Giuseppina Di Stefano and Claudio Franceschi. Their work appears in journals such as Annals of the New York Academy of Sciences, Archives of Gerontology and Geriatrics, Mechanisms of Ageing and Development, Cellular and Molecular Life Sciences and Journal of Intellectual Disability Research.

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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