Maria T. Caserta

484 citations
17 papers · 359 indexed · h-index 11
Topics
Alzheimer's disease research and treatments (3 papers)Neuroscience and Neuropharmacology Research (3 papers)Dementia and Cognitive Impairment Research (3 papers)
Partner nations
United StatesItaly

In The Last Decade

Maria T. Caserta

17 papers receiving 344 citations

Peers

Maria T. Caserta
Comparison fields: 5 of 69
  • Cellular and Molecular Neuroscience 112
  • Molecular Biology 99
  • Physiology 91
  • Surgery 67
  • Anesthesiology and Pain Medicine 59
Replace Changsheng Li with:
Changsheng Li China
Daniela Mohr Germany
Carola Vogel Germany
Ewa Papuć Poland
Lorraine Yurkewicz United States
Małgorzata Borczyk Poland
Andy Brooks United States
Kliment Gatzinsky Sweden
Pauline Vercruysse Germany
Kwo Wei David Ho United States
Maria T. Caserta relative to Changsheng Li China Changsheng Li's profile →
Citations per field
00.5×1.7×
Changsheng Li · 1×
Citations per year

Countries citing papers authored by Maria T. Caserta

Since Specialization
Citations

This map shows the geographic impact of Maria T. Caserta'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 Maria T. Caserta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria T. Caserta more than expected).

Fields of papers citing papers by Maria T. Caserta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria T. Caserta. 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 Maria T. Caserta. The network helps show where Maria T. Caserta may publish in the future.

Co-authorship network of co-authors of Maria T. Caserta

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 48
2 3
3 19
4 7
5 71
6 7
7 19
8 1
9 54
10 11
11 8
12 10
13 11
14 42
15 4
16 25
17 19

About Maria T. Caserta

Maria T. Caserta is a scholar working on Cellular and Molecular Neuroscience, Clinical Biochemistry and Developmental Neuroscience, having authored 17 papers that have together received 359 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Dementia and Cognitive Impairment Research (3 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (59 citations), Cellular and Molecular Neuroscience (112 citations) and Developmental Neuroscience (23 citations). Maria T. Caserta has collaborated with scholars based in United States and Italy. Frequent co-authors include Andrew P. Mariani, Leonard L. Ross, Ann Ragin, Dennis R. Groothuis, Gregory D. Lapin, Alice M. Wyrwicz, Marcello De Cicco, Brian Giunta, Roberto Bortolussi and Cristina Santantonio. Their work appears in journals such as Brain Research, Anesthesiology and NMR in Biomedicine.

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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