Daniel Dagan

992 citations
27 papers · 869 indexed · h-index 15

Impact in

Papers in

    • Ion channel regulation and function 12
    • Lipid Membrane Structure and Behavior 3
    • Neuroscience and Neuropharmacology Research 6
    • Neuroscience and Neural Engineering 4
    • Neurobiology and Insect Physiology Research 4

Daniel Dagan

27 papers receiving 853 citations

Peers

Daniel Dagan
Comparison fields: 5 of 85
  • Cellular and Molecular Neuroscience 466
  • Aging 28
  • Sensory Systems 63
  • Molecular Biology 567
  • Endocrine and Autonomic Systems 42
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Citations per field
00.5×1.5×
Patrick Morcillo · 1×
Citations per year

Countries citing papers authored by Daniel Dagan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Dagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999111
2 1998102
3 199791
4 199987
5 199865
6 197960
7 199252
8 198244
9 199741
10 199828
11 199827
12 198723
13 199619
14 198517
15 198914
16 199214
17 197413
18 198113
19 198713
20 19926

About Daniel Dagan

Daniel Dagan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 869 indexed citations. Recurring topics across this work include Ion channel regulation and function (12 papers), Neuroscience and Neuropharmacology Research (6 papers), Neuroscience and Neural Engineering (4 papers), Neurobiology and Insect Physiology Research (4 papers), Insect and Arachnid Ecology and Behavior (3 papers), Lipid Membrane Structure and Behavior (3 papers), Erythrocyte Function and Pathophysiology (3 papers) and Cardiac electrophysiology and arrhythmias (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (466 citations), Aging (28 citations), Sensory Systems (63 citations), Molecular Biology (567 citations) and Endocrine and Autonomic Systems (42 citations). Daniel Dagan has collaborated with scholars based in Israel, United States and Switzerland. Frequent co-authors include Irwin B. Levitan, Max M. Burger, Jeffrey M. Camhi, Orian S. Shirihai, Todd C. Holmes, William M. Schopperle, Kevin Berman, Leslie C. Griffith, Susan F. Volman and Bernard Attali. Their work appears in journals such as Brain Research, Journal of Comparative Physiology A, Neuron, Pflügers Archiv - European Journal of Physiology and Glia.

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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