Daniel Reep

1.4k citations
9 papers · 684 · 1 hit paper · h-index 7

Impact in

  • Biophysics top 1%
    • Advanced Fluorescence Microscopy Techniques
    • Neuroscience and Neuropharmacology Research
    • Neuroscience and Neural Engineering
    • Photoreceptor and optogenetics research
    • Neurotransmitter Receptor Influence on Behavior
    • Neurobiology and Insect Physiology Research

Papers in

Daniel Reep

8 papers receiving 679 citations

Daniel Reep's Hit Papers

Fast and sensitive GCaMP calcium indicators for imaging neural populations 2023 · 427 citations
4270+1+2Years since publication100200300400

Peers

Daniel Reep
Comparison fields: 5 of 71
  • Biophysics 282
  • Cellular and Molecular Neuroscience 227
  • Sensory Systems 28
  • Cognitive Neuroscience 112
  • Developmental Neuroscience 8
Replace Justin P. Little with:
Justin P. Little United States
Ilya Kolb United States
Barna Dudok United States
Ondřej Novák Czechia
Johan Tolö Sweden
Atsuya Takeuchi Japan
Bing Dai China
Sebastian Wabnig Germany
Daniel Reep relative to Justin P. Little United States Justin P. Little's profile →
Citations per field
00.5×2×3×4×4.6×
Justin P. Little · 1×
Citations per year

Countries citing papers authored by Daniel Reep

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Reep

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Daniel Reep, 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 Reep Line = papers co-authored together Daniel Reep links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Fast and sensitive GCaMP calcium indicators for imaging neural populations
Hit paper breakdown →
2023427
2 202397
3 202357
4 202043
5 202031
6 202015
7 202511
8 20253
9 20260

About Daniel Reep

Daniel Reep is a scholar working on Biophysics, Cellular and Molecular Neuroscience, Obstetrics and Gynecology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 9 papers that have together received 684 indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (7 papers), Photoreceptor and optogenetics research (2 papers), Pregnancy and preeclampsia studies (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Biophysics (282 citations), Cellular and Molecular Neuroscience (227 citations), Sensory Systems (28 citations), Cognitive Neuroscience (112 citations) and Developmental Neuroscience (8 citations). Daniel Reep has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include S. M. Khorshed Alam, Jerome F. Strauss, Daniel Stephenson, Scott W. Walsh and Charles Edward Chalfant. Their work appears in journals such as Nature Communications, Nature Methods, Nature, Reproductive Sciences and Neuron.

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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