Daniel Severín

891 citations
14 papers · 554 · 1 hit paper · h-index 8

Impact in

Papers in

Daniel Severín

13 papers receiving 547 citations

Daniel Severín's Hit Papers

Light Affects Mood and Learning through Distinct Retina-Brain Pathways 2018 · 338 citations
3380+2+5Years since publication100200300

Peers

Daniel Severín
Comparison fields: 5 of 81
  • Endocrine and Autonomic Systems 268
  • Cellular and Molecular Neuroscience 230
  • Cognitive Neuroscience 221
  • Experimental and Cognitive Psychology 80
  • Sensory Systems 29
Replace William D. Todd with:
William D. Todd United States
Michael B Thomsen United States
Marcus L. Basiri United States
Marie‐Pierre Cossette Canada
Rebecca Y. Broadhurst United States
Shu K. E. Tam United Kingdom
Beatriz Baño‐Otálora United Kingdom
Alan J. Emanuel United States
Melis Yilmaz Balban United States
Yue Xi China
Daniel Severín relative to William D. Todd United States William D. Todd's profile →
Citations per field
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William D. Todd · 1×
Citations per year

Countries citing papers authored by Daniel Severín

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Severín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1
Light Affects Mood and Learning through Distinct Retina-Brain Pathways
Hit paper breakdown →
2018338
2 201993
3 201828
4 201323
5 202219
6 201913
7 202110
8 20208
9 20247
10 20246
11 20194
12 20243
13 20202
14 20240

About Daniel Severín

Daniel Severín is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Endocrine and Autonomic Systems and Neurology, having authored 14 papers that have together received 554 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Photoreceptor and optogenetics research (5 papers), Sleep and Wakefulness Research (3 papers), Neural dynamics and brain function (3 papers), Neuroscience and Neural Engineering (2 papers), Circadian rhythm and melatonin (2 papers), Retinal Development and Disorders (2 papers) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (268 citations), Cellular and Molecular Neuroscience (230 citations), Cognitive Neuroscience (221 citations), Experimental and Cognitive Psychology (80 citations) and Sensory Systems (29 citations). Daniel Severín has collaborated with scholars based in United States, Chile and China. Frequent co-authors include Alfredo Kirkwood, P. Michelle Fogerson, Diego C. Fernandez, Michael B Thomsen, Joshua H. Singer, Samer Hattar, Jesse J. Zhan, Haiqing Zhao, David M. Berson and Trinh Tran. Their work appears in journals such as Journal of Neuroscience, iScience, Scientific Reports, Nature Communications and Cell Reports.

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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