Daniel Hill

1.5k citations
16 papers · 884 · h-index 9

Impact in

    • Neural dynamics and brain function
    • EEG and Brain-Computer Interfaces
    • Visual perception and processing mechanisms
    • Memory and Neural Mechanisms
    • Neuroscience and Neuropharmacology Research
    • Neuroscience and Neural Engineering
    • Photoreceptor and optogenetics research

Papers in

Daniel Hill

15 papers receiving 875 citations

Peers

Daniel Hill
Comparison fields: 5 of 87
  • Cognitive Neuroscience 567
  • Cellular and Molecular Neuroscience 512
  • Neurology 80
  • Sensory Systems 33
  • Ophthalmology 44
Replace Tobias Rose with:
Tobias Rose Germany
Satoshi Shimegi Japan
Tianmiao Hua China
Hamdy Shaban Switzerland
Jokūbas Žiburkus United States
Darío A. Protti Australia
Vincent Villette France
Michal Rivlin‐Etzion Israel
John Lisman United States
Susan C. Van Horn United States
Daniel Hill relative to Tobias Rose Germany Tobias Rose's profile →
Citations per field
00.5×2.9×
Tobias Rose · 1×
Citations per year

Countries citing papers authored by Daniel Hill

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Hill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2011306
2 2011143
3 2011133
4 2012110
5 201361
6 202141
7 201931
8 201516
9 202115
10 20248
11 20218
12 20206
13 20223
14 20202
15 20201
16 20220

About Daniel Hill

Daniel Hill is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Ophthalmology, Cognitive Neuroscience and Pharmacology, having authored 16 papers that have together received 884 indexed citations. Recurring topics across this work include Retinal Development and Disorders (5 papers), Neural dynamics and brain function (4 papers), Glaucoma and retinal disorders (4 papers), Neuroscience and Neural Engineering (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Alzheimer's disease research and treatments (2 papers), Retinal Diseases and Treatments (2 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Cognitive Neuroscience (567 citations), Cellular and Molecular Neuroscience (512 citations), Neurology (80 citations), Sensory Systems (33 citations) and Ophthalmology (44 citations). Daniel Hill has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include David Kleinfeld, Samar Mehta, Arthur Konnerth, Jeffrey D. Moore, Christine Grienberger, Nathalie L. Rochefort, John C. Curtis, Nima Marandi, Madoka Narushima and M. Francesca Cordeiro. Their work appears in journals such as Neuron, Expert Opinion on Investigational Drugs, Pharmaceuticals, Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring and Progress in Retinal and Eye Research.

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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