Lucia Iannotta

408 citations
13 papers · 288 indexed · h-index 9
Topics
Parkinson's Disease Mechanisms and Treatments (4 papers)Cholesterol and Lipid Metabolism (3 papers)Cellular transport and secretion (3 papers)
Partner nations
ItalyUnited StatesFrance

In The Last Decade

Lucia Iannotta

12 papers receiving 284 citations

Peers

Lucia Iannotta
Comparison fields: 5 of 51
  • Physiology 138
  • Molecular Biology 105
  • Endocrinology, Diabetes and Metabolism 91
  • Epidemiology 55
  • Neurology 45
Replace Manon Leclerc with:
Manon Leclerc Canada
Muhammad-Al-Mustafa Ismail Sweden
Lydia J. Davis United States
Angelika Więckowska‐Gacek Poland
Faye E. Mendelson United States
T. Peeyush Kumar India
Laís S. S. Ferreira Brazil
Anup Bhusal South Korea
Ching‐Tien Lee Taiwan
Helena Zander Wodschow Denmark
Lucia Iannotta relative to Manon Leclerc Canada Manon Leclerc's profile →
Citations per field
00.5×7.2×
Manon Leclerc · 1×
Citations per year

Countries citing papers authored by Lucia Iannotta

Since Specialization
Citations

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

Fields of papers citing papers by Lucia Iannotta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucia Iannotta

This figure shows the co-authorship network connecting the top 25 collaborators of Lucia Iannotta. A scholar is included among the top collaborators of Lucia Iannotta 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 Lucia Iannotta. Lucia Iannotta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 0
2 2
3 3
4 7
5 10
6 38
7 18
8 30
9 15
10 33
11 25
12 41
13 66

About Lucia Iannotta

Lucia Iannotta is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Neurology, having authored 13 papers that have together received 288 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (4 papers), Cholesterol and Lipid Metabolism (3 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Biological Psychiatry (29 citations), Endocrinology, Diabetes and Metabolism (91 citations) and Physiology (138 citations). Lucia Iannotta has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Maria Stefania Spagnuolo, Luisa Cigliano, Susanna Iossa, Raffaella Crescenzo, Arianna Mazzoli, Rosa Cancelliere, Elisa Greggio, Giovanna Liverini, Paolo Bergamo and Chiara Cupidi. Their work appears in journals such as Brain Research, International Journal of Molecular Sciences and Journal of Cellular Physiology.

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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