Dan Rokni

867 citations
17 papers · 561 · h-index 11

Impact in

Papers in

    • Neurobiology and Insect Physiology Research 7
    • Photoreceptor and optogenetics research 3
    • Neuroscience and Neural Engineering 2
    • Neuroscience and Neuropharmacology Research 2
    • Olfactory and Sensory Function Studies 10

Dan Rokni

17 papers receiving 552 citations

Peers

Dan Rokni
Comparison fields: 5 of 64
  • Sensory Systems 323
  • Cellular and Molecular Neuroscience 355
  • Neurology 119
  • Cognitive Neuroscience 192
  • Nutrition and Dietetics 98
Replace Mihály Köllő with:
Mihály Köllő United Kingdom
Izumi Fukunaga Japan
P. A. Fuchs United States
Philip M. Heyward New Zealand
Thane E. Benson United States
R. Todd Pressler United States
Nixon M. Abraham India
Andrea Darby‐King Canada
Dara L. Sosulski United States
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Citations per field
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Citations per year

Countries citing papers authored by Dan Rokni

Since Specialization
Citations

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

Fields of papers citing papers by Dan Rokni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2012166
2 201494
3 200889
4 200662
5 201628
6 200922
7 200222
8 200720
9 200819
10 202110
11 200910
12 20205
13 20175
14 20244
15 20233
16 20231
17 20241

About Dan Rokni

Dan Rokni is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems, Biomedical Engineering, Cognitive Neuroscience and Neurology, having authored 17 papers that have together received 561 indexed citations. Recurring topics across this work include Olfactory and Sensory Function Studies (10 papers), Advanced Chemical Sensor Technologies (8 papers), Neurobiology and Insect Physiology Research (7 papers), Neural dynamics and brain function (4 papers), Vestibular and auditory disorders (4 papers), Photoreceptor and optogenetics research (3 papers), Neuroscience and Neural Engineering (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Sensory Systems (323 citations), Cellular and Molecular Neuroscience (355 citations), Neurology (119 citations), Cognitive Neuroscience (192 citations) and Nutrition and Dietetics (98 citations). Dan Rokni has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Venkatesh N. Murthy, Foivos Markopoulos, David H. Gire, Yosef Yarom, Gilad A. Jacobson, Vikrant Kapoor, Binyamin Hochner, Liang Zhang, Peter L. Carlen and Miron Derchansky. Their work appears in journals such as Trends in Neurosciences, Frontiers in Systems Neuroscience, Neuron, Journal of Neuroscience and Journal of Neurophysiology.

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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