Amber Khan

15 papers and 318 indexed citations i.

About

Amber Khan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Amber Khan has authored 15 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Physiology. Recurrent topics in Amber Khan’s work include Alzheimer's disease research and treatments (2 papers), Neuroscience and Neural Engineering (2 papers) and Planarian Biology and Electrostimulation (2 papers). Amber Khan is often cited by papers focused on Alzheimer's disease research and treatments (2 papers), Neuroscience and Neural Engineering (2 papers) and Planarian Biology and Electrostimulation (2 papers). Amber Khan collaborates with scholars based in United States, China and Israel. Amber Khan's co-authors include Zhe Pei, James P. Curley, Won Lee, Hoau-Yan Wang, Xiaoting Meng, Rexford S. Ahima, Zoe Arvanitakis, Zhiyong Dong, Ana W. Capuano and Zhe Li and has published in prestigious journals such as Cancer, Annals of Neurology and Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Amber Khan i

Fields of papers citing papers by Amber Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Amber Khan

Since Specialization
Citations

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

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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2025