Natalí L. Chanaday

31 total papers · 1.0k total citations
20 papers, 663 citations indexed

About

Natalí L. Chanaday is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Natalí L. Chanaday has authored 20 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Cellular and Molecular Neuroscience and 11 papers in Cell Biology. Recurrent topics in Natalí L. Chanaday's work include Cellular transport and secretion (11 papers), Neuroscience and Neuropharmacology Research (11 papers) and Lipid Membrane Structure and Behavior (7 papers). Natalí L. Chanaday is often cited by papers focused on Cellular transport and secretion (11 papers), Neuroscience and Neuropharmacology Research (11 papers) and Lipid Membrane Structure and Behavior (7 papers). Natalí L. Chanaday collaborates with scholars based in United States, Argentina and Brazil. Natalí L. Chanaday's co-authors include Ege T. Kavalali, Shigeki Watanabe, Jennifer R. Morgan, Ira Milošević, Michael A. Cousin, German A. Roth, Wei Xu, Lisa M. Monteggia, Ok-Ho Shin and E. D. Nosyreva and has published in prestigious journals such as Neuron, Journal of Neuroscience and The Journal of Physiology.

In The Last Decade

Natalí L. Chanaday

20 papers receiving 660 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Natalí L. Chanaday 421 301 271 81 55 20 663
R.L. Kenigsberg 398 0.9× 362 1.2× 143 0.5× 97 1.2× 62 1.1× 25 777
Y Peng Loh 385 0.9× 229 0.8× 231 0.9× 116 1.4× 38 0.7× 16 782
Agnieszka Münster‐Wandowski 364 0.9× 347 1.2× 177 0.7× 57 0.7× 62 1.1× 20 658
Omar A. Ramírez 318 0.8× 259 0.9× 175 0.6× 84 1.0× 48 0.9× 26 606
Felicia Yu Hsuan Teng 335 0.8× 343 1.1× 137 0.5× 91 1.1× 47 0.9× 20 700
Yuanzheng Gu 326 0.8× 230 0.8× 104 0.4× 85 1.0× 57 1.0× 21 589
Saheeb Ahmed 447 1.1× 361 1.2× 354 1.3× 155 1.9× 52 0.9× 21 762
Viviana I. Torres 504 1.2× 383 1.3× 313 1.2× 95 1.2× 36 0.7× 23 792
Chih-Chun Lin 396 0.9× 344 1.1× 167 0.6× 140 1.7× 86 1.6× 19 767
А. R. Giniatullin 524 1.2× 255 0.8× 196 0.7× 159 2.0× 58 1.1× 31 727

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

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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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