E Rolandi

87 papers receiving 912 citations

Peers

E Rolandi
Comparison fields: 5 of 110
  • Neuropsychology and Physiological Psychology 53
  • Behavioral Neuroscience 67
  • Health 113
  • Endocrine and Autonomic Systems 78
  • Endocrinology, Diabetes and Metabolism 186
Replace J. B. Ruidavets with:
J. B. Ruidavets France
Mikael Thinggaard Denmark
Amber Watts United States
Jeffrey Ma United States
Sarah‐Naomi James United Kingdom
Hyun‐Sik Kang South Korea
Andrea L. Metti United States
Philippos Gourzis Greece
Yong Jia China
Jennifer L. Young United States
E Rolandi relative to J. B. Ruidavets France J. B. Ruidavets's profile →
Citations per field
00.5×3.5×
J. B. Ruidavets · 1×
Citations per year

Countries citing papers authored by E Rolandi

Since Specialization
Citations

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

Fields of papers citing papers by E Rolandi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20242
4 20234
5 20231
6 202115
7 20212
8 202160
9 202065
10 201722
11 201716
12 19981
13 199316
14 199111
15 199135
16 198912
17 19883
18 19874
19 19864
20 198415

About E Rolandi

E Rolandi is a scholar working on Neuropsychology and Physiological Psychology, Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience, Health and Cellular and Molecular Neuroscience, having authored 92 papers that have together received 958 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (15 papers), Growth Hormone and Insulin-like Growth Factors (11 papers), Dementia and Cognitive Impairment Research (10 papers), Neuropeptides and Animal Physiology (8 papers), Technology Use by Older Adults (8 papers), Health disparities and outcomes (7 papers), Diet and metabolism studies (6 papers) and Receptor Mechanisms and Signaling (5 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (53 citations), Behavioral Neuroscience (67 citations), Health (113 citations), Endocrine and Autonomic Systems (78 citations) and Endocrinology, Diabetes and Metabolism (186 citations). E Rolandi has collaborated with scholars based in Italy, Switzerland and France. Frequent co-authors include T Barreca, R. Franceschini, A. Cataldi, Antonio Guaita, Georgia Casanova, Roberta Vaccaro, Daniele Zaccaria, Roberto Franceschini, G Corsini and M. Colombo. Their work appears in journals such as European Journal of Clinical Pharmacology, Biomedicine & Pharmacotherapy, Alzheimer s & Dementia, European Journal of Endocrinology and Aging Clinical and Experimental 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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