Daniel Severín

934 citations
17 papers · 591 · 1 hit paper · h-index 9

Impact in

Papers in

Daniel Severín

13 papers receiving 582 citations

Daniel Severín's Hit Papers

Light Affects Mood and Learning through Distinct Retina-Brain Pathways 2018 · 357 citations
3570+2+5Years since publication100200300

Peers

Daniel Severín
Comparison fields: 5 of 81
  • Endocrine and Autonomic Systems 269
  • Cellular and Molecular Neuroscience 225
  • Cognitive Neuroscience 210
  • Sensory Systems 29
  • Aging 9
Replace Marcus L. Basiri with:
Marcus L. Basiri United States
Michael B Thomsen United States
William D. Todd United States
Paul Manger South Africa
Judney Cley Cavalcante Brazil
Alan J. Emanuel United States
Yue Xi China
David S. McNeill United States
Brooks G. Robinson United States
Rebecca Y. Broadhurst United States
Daniel Severín relative to Marcus L. Basiri United States Marcus L. Basiri's profile →
Citations per field
00.5×1.5×1.8×
Marcus L. Basiri · 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

17 of 17 papers shown
#Work
1
Light Affects Mood and Learning through Distinct Retina-Brain Pathways
Hit paper breakdown →
2018357
2 201998
3 201830
4 201325
5 202221
6 202114
7 201913
8 20248
9 20208
10 20247
11 20195
12 20243
13 20202
14 20260
15 20240
16 20250
17 20260

About Daniel Severín

Daniel Severín is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Neurology and Endocrine and Autonomic Systems, having authored 17 papers that have together received 591 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Photoreceptor and optogenetics research (5 papers), Neural dynamics and brain function (3 papers), Sleep and Wakefulness Research (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Neuroscience and Neural Engineering (2 papers), Circadian rhythm and melatonin (2 papers) and Retinal Development and Disorders (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (269 citations), Cellular and Molecular Neuroscience (225 citations), Cognitive Neuroscience (210 citations), Sensory Systems (29 citations) and Aging (9 citations). Daniel Severín has collaborated with scholars based in United States, Chile and Singapore. Frequent co-authors include Alfredo Kirkwood, P. Michelle Fogerson, Michael B Thomsen, Samer Hattar, Haiqing Zhao, Diego C. Fernandez, David M. Berson, Jesse J. Zhan, Joshua H. Singer and Trinh Tran. Their work appears in journals such as Journal of Neuroscience, Cell Reports, PLoS ONE, Neuron and Progress in Neurobiology.

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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