L. Castaldo

649 citations
54 papers · 540 indexed · h-index 13

Impact in

Papers in

L. Castaldo

53 papers receiving 513 citations

Peers

L. Castaldo
Comparison fields: 5 of 68
  • Developmental Neuroscience 175
  • Cellular and Molecular Neuroscience 289
  • Endocrine and Autonomic Systems 84
  • Cell Biology 92
  • Gastroenterology 28
Replace Carla Lucini with:
Carla Lucini Italy
G. Scholten Netherlands
Tarin Ritchie United States
Charalambos Magoulas United Kingdom
Junzo Ochi Japan
Emi Kiyokage Japan
E. M. Rodr�guez Chile
Marina Avetisyan United States
F.-H. G�ldner Germany
L. Castaldo relative to Carla Lucini Italy Carla Lucini's profile →
Citations per field
00.5×1.5×
Carla Lucini · 1×
Citations per year

Countries citing papers authored by L. Castaldo

Since Specialization
Citations

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

Fields of papers citing papers by L. Castaldo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201913
2 20184
3 201716
4 201720
5 20149
6 20123
7 201121
8 201111
9 20094
10 20087
11 20058
12 20047
13 200312
14 200235
15 20019
16 200011
17 19999
18 199812
19 19922
20
The endocrine cells of the rectum of adult ox.
19795

About L. Castaldo

L. Castaldo is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Equine and Cell Biology, having authored 54 papers that have together received 540 indexed citations. Recurring topics across this work include Nerve injury and regeneration (24 papers), Neurogenesis and neuroplasticity mechanisms (20 papers), Neuropeptides and Animal Physiology (16 papers), Regulation of Appetite and Obesity (6 papers), Zebrafish Biomedical Research Applications (5 papers), MicroRNA in disease regulation (4 papers), Sleep and Wakefulness Research (4 papers) and Axon Guidance and Neuronal Signaling (4 papers). The work is most often cited by research in Developmental Neuroscience (175 citations), Cellular and Molecular Neuroscience (289 citations), Endocrine and Autonomic Systems (84 citations), Cell Biology (92 citations) and Gastroenterology (28 citations). L. Castaldo has collaborated with scholars based in Italy, Germany and Spain. Frequent co-authors include Carla Lucini, Paolo de Girolamo, Lucianna Maruccio, Livia D’Angelo, Alessandro Cellerino, C. Domeneghini, Eva Terzibasi Tozzini, José A. Vega, Mario Baumgart and Luigi Avallone. Their work appears in journals such as Annals of Anatomy - Anatomischer Anzeiger, Microscopy Research and Technique, Journal of Anatomy, The Anatomical Record and The Anatomical Record.

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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