Natalí L. Chanaday

1.0k citations
20 papers · 678 indexed · h-index 16
Topics
Neuroscience and Neuropharmacology Research (11 papers)Cellular transport and secretion (11 papers)Lipid Membrane Structure and Behavior (7 papers)

In The Last Decade

Natalí L. Chanaday

20 papers receiving 675 citations

Peers

Natalí L. Chanaday
Comparison fields: 5 of 77
  • Molecular Biology 430
  • Cellular and Molecular Neuroscience 309
  • Cell Biology 274
  • Physiology 81
  • Neurology 55
Replace Saheeb Ahmed with:
Saheeb Ahmed Germany
Carolina Montenegro‐Venegas Germany
Agnieszka Münster‐Wandowski Germany
Saori Yamamori Japan
Gaga Kochlamazashvili Germany
Karen J. Smillie United Kingdom
T. Gotow Japan
Julia Preobraschenski Germany
Eiji Hirose Japan
Hyun-Hee Ryu South Korea
Natalí L. Chanaday relative to Saheeb Ahmed Germany Saheeb Ahmed's profile →
Citations per field
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Citations per year

Countries citing papers authored by Natalí L. Chanaday

Since Specialization
Citations

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

Fields of papers citing papers by Natalí L. Chanaday

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalí L. Chanaday. 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 Natalí L. Chanaday. The network helps show where Natalí L. Chanaday may publish in the future.

Co-authorship network of co-authors of Natalí L. Chanaday

This figure shows the co-authorship network connecting the top 25 collaborators of Natalí L. Chanaday. A scholar is included among the top collaborators of Natalí L. Chanaday 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 Natalí L. Chanaday. Natalí L. Chanaday 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 3
2 20
3 64
4 20
5 7
6 42
7 17
8 156
9 48
10 22
11 56
12 29
13 23
14 69
15 2
16 25
17 10
18 17
19 21
20 27

About Natalí L. Chanaday

Natalí L. Chanaday is a scholar working on Cell Biology, Physiology and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 678 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Cellular transport and secretion (11 papers) and Lipid Membrane Structure and Behavior (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (309 citations), Cell Biology (274 citations) and Biological Psychiatry (20 citations). Natalí L. Chanaday has collaborated with scholars based in United States, Argentina and Greece. Frequent co-authors include Ege T. Kavalali, Michael A. Cousin, Shigeki Watanabe, Ira Milošević, Jennifer R. Morgan, German A. Roth, Wei Xu, Lisa M. Monteggia, İltan Aklan and Hua Zhang. Their work appears in journals such as Neuron, Journal of Neuroscience 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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