Marı́a Serón-Ferré

100 papers receiving 3.2k citations

Peers

Marı́a Serón-Ferré
Comparison fields: 5 of 111
  • Endocrine and Autonomic Systems 1.8k
  • Pediatrics, Perinatology and Child Health 1.3k
  • Physiology 685
  • Endocrinology, Diabetes and Metabolism 403
  • Social Psychology 389
Replace Felino R. Cagampang with:
Felino R. Cagampang United Kingdom
Christophe Breton France
Sébastien G. Bouret United States
Didier Vieau France
Claudia Torres‐Farfan Chile
Eva E. Redei United States
Elinor L. Sullivan United States
Sharon L. Wardlaw United States
Barbara Woodside Canada
Fernanda Gaspar do Amaral Brazil
Marı́a Serón-Ferré relative to Felino R. Cagampang United Kingdom Felino R. Cagampang's profile →
Citations per field
00.5×1.5×
Felino R. Cagampang · 1×
Citations per year

Countries citing papers authored by Marı́a Serón-Ferré

Since Specialization
Citations

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

Fields of papers citing papers by Marı́a Serón-Ferré

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marı́a Serón-Ferré. 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 Marı́a Serón-Ferré. The network helps show where Marı́a Serón-Ferré may publish in the future.

Co-authorship network of co-authors of Marı́a Serón-Ferré

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 4
3 39
4 59
5 99
6 59
7 34
8
Clock gene expression in adult and fetal suprachiasmatic nucleus (SCN) and adrenal gland in the capuchin monkey
2
9 58
10 54
11 64
12 36
13 71
14 37
15 23
16 5
17 21
18 23
19 12
20 14

About Marı́a Serón-Ferré

Marı́a Serón-Ferré is a scholar working on Endocrine and Autonomic Systems, Pediatrics, Perinatology and Child Health and Behavioral Neuroscience, having authored 100 papers that have together received 3.3k indexed citations. Recurring topics across this work include Birth, Development, and Health (60 papers), Circadian rhythm and melatonin (48 papers) and Neonatal Respiratory Health Research (15 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.8k citations), Behavioral Neuroscience (330 citations) and Pediatrics, Perinatology and Child Health (1.3k citations). Marı́a Serón-Ferré has collaborated with scholars based in Chile, United States and United Kingdom. Frequent co-authors include Claudia Torres‐Farfan, Guillermo J. Valenzuela, Fernando Torrealba, Hans Richter, Robert B. Jaffe, Aníbal J. Llanos, Emilio A. Herrera, Natalia Méndez, Carmen Campino and Lorena Abarzúa-Catalán. Their work appears in journals such as PLoS ONE, Endocrine Reviews and The Journal of Clinical Endocrinology & Metabolism.

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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