Aleena Notary

504 total citations
4 papers, 184 citations indexed

About

Aleena Notary is a scholar working on Surgery, Molecular Biology and Otorhinolaryngology. According to data from OpenAlex, Aleena Notary has authored 4 papers receiving a total of 184 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 1 paper in Molecular Biology and 1 paper in Otorhinolaryngology. Recurrent topics in Aleena Notary's work include Pancreatic function and diabetes (2 papers), Sinusitis and nasal conditions (1 paper) and Cannabis and Cannabinoid Research (1 paper). Aleena Notary is often cited by papers focused on Pancreatic function and diabetes (2 papers), Sinusitis and nasal conditions (1 paper) and Cannabis and Cannabinoid Research (1 paper). Aleena Notary collaborates with scholars based in United States and Italy. Aleena Notary's co-authors include Stephen M. Humphries, Juan Pablo Centeno, David A. Lynch, James D. Crapo, Edwin K. Silverman, Matthew Strand, Thomas Hraha, Richard K.P. Benninger, Matthew J. Westacott and P. Mason McClatchey and has published in prestigious journals such as Radiology, PLoS Computational Biology and International Forum of Allergy & Rhinology.

In The Last Decade

Aleena Notary

4 papers receiving 181 citations

Peers

Aleena Notary
Diana Lin United States
Bertrand Pouymayou Switzerland
Ho Ra South Korea
Adam Christopher United States
Diana Lin United States
Aleena Notary
Citations per year, relative to Aleena Notary Aleena Notary (= 1×) peers Diana Lin

Countries citing papers authored by Aleena Notary

Since Specialization
Citations

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

Fields of papers citing papers by Aleena Notary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aleena Notary

This figure shows the co-authorship network connecting the top 25 collaborators of Aleena Notary. A scholar is included among the top collaborators of Aleena Notary 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 Aleena Notary. Aleena Notary is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
1.
Humphries, Stephen M., Juan Pablo Centeno, Aleena Notary, et al.. (2020). Volumetric assessment of paranasal sinus opacification on computed tomography can be automated using a convolutional neural network. International Forum of Allergy & Rhinology. 10(11). 1218–1225. 30 indexed citations
2.
Humphries, Stephen M., Aleena Notary, Juan Pablo Centeno, et al.. (2019). Deep Learning Enables Automatic Classification of Emphysema Pattern at CT. Radiology. 294(2). 434–444. 99 indexed citations
3.
Notary, Aleena, et al.. (2016). Decreases in Gap Junction Coupling Recovers Ca2+ and Insulin Secretion in Neonatal Diabetes Mellitus, Dependent on Beta Cell Heterogeneity and Noise. PLoS Computational Biology. 12(9). e1005116–e1005116. 14 indexed citations
4.
Hraha, Thomas, et al.. (2014). Phase Transitions in the Multi-cellular Regulatory Behavior of Pancreatic Islet Excitability. PLoS Computational Biology. 10(9). e1003819–e1003819. 41 indexed citations

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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