Fred N. Quandt

1.4k citations
26 papers · 1.1k indexed · h-index 17
Topics
Ion channel regulation and function (19 papers)Neuroscience and Neuropharmacology Research (13 papers)Neuroscience and Neural Engineering (12 papers)

In The Last Decade

Fred N. Quandt

26 papers receiving 1.0k citations

Peers

Fred N. Quandt
Comparison fields: 5 of 77
  • Molecular Biology 907
  • Cellular and Molecular Neuroscience 888
  • Cardiology and Cardiovascular Medicine 167
  • Cognitive Neuroscience 109
  • Neurology 69
Replace Danièle Paupardin‐Tritsch with:
Danièle Paupardin‐Tritsch France
Michael Madeja Germany
Stefan McDonough United States
Ante L. Padjen Canada
Shunichi Yamagishi Japan
Angela R. Cantrell United States
Donald A. McAfee United States
J. L. Bossu France
Robert Bähring Germany
Peter Gates United States
Fred N. Quandt relative to Danièle Paupardin‐Tritsch France Danièle Paupardin‐Tritsch's profile →
Citations per field
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Danièle Paupardin‐Tritsch · 1×
Citations per year

Countries citing papers authored by Fred N. Quandt

Since Specialization
Citations

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

Fields of papers citing papers by Fred N. Quandt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fred N. Quandt. 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 Fred N. Quandt. The network helps show where Fred N. Quandt may publish in the future.

Co-authorship network of co-authors of Fred N. Quandt

This figure shows the co-authorship network connecting the top 25 collaborators of Fred N. Quandt. A scholar is included among the top collaborators of Fred N. Quandt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fred N. Quandt. Fred N. Quandt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 20
2 10
3 10
4 8
5 6
6
Modulation of GABA receptor-channel complex by alcohols and general anesthetics.
8
7 32
8 32
9 43
10 49
11 9
12 13
13 101
14 46
15 15
16 109
17
Comparative studies of phenytoin action on ionic channels in excitable membranes
2
18 71
19 20
20 132

About Fred N. Quandt

Fred N. Quandt is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Electrochemistry, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ion channel regulation and function (19 papers), Neuroscience and Neuropharmacology Research (13 papers) and Neuroscience and Neural Engineering (12 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (888 citations), Molecular Biology (907 citations) and Neurology (69 citations). Fred N. Quandt has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Toshio Narahashi, Gordon Fain, Brian A. MacVicar, H. M. Gerschenfeld, J Z Yeh, Robert E. Ten Eick, Noriaki Matsuki, Hersch M. Gerschenfeld, Daisuke Yamamoto and John M. Tang. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Physiology.

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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