Amber Khan

30 total papers · 543 total citations
14 papers, 311 citations indexed

About

Amber Khan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Amber Khan has authored 14 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Amber Khan's work include Hearing, Cochlea, Tinnitus, Genetics (2 papers), Neuroscience and Neural Engineering (2 papers) and Alzheimer's disease research and treatments (2 papers). Amber Khan is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (2 papers), Neuroscience and Neural Engineering (2 papers) and Alzheimer's disease research and treatments (2 papers). Amber Khan collaborates with scholars based in United States, China and Israel. Amber Khan's co-authors include Zhe Pei, Won Lee, James P. Curley, Hoau-Yan Wang, Yanling Wang, Xiaoting Meng, Zhe Li, Zhiyong Dong, Hoau-Yan Wang and Hoau‐Yan Wang and has published in prestigious journals such as Cancer, Annals of Neurology and Neuroscience.

In The Last Decade

Amber Khan

14 papers receiving 310 citations

Author Peers

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

Author Last Decade Papers Cites
Amber Khan 91 78 76 35 34 14 311
Raafat Farès 61 0.7× 39 0.5× 56 0.7× 37 1.1× 24 0.7× 15 347
Bin Luo 170 1.9× 49 0.6× 88 1.2× 27 0.8× 20 0.6× 19 327
Marek Pytliak 113 1.2× 49 0.6× 103 1.4× 21 0.6× 18 0.5× 8 354
Peter Rotheneichner 115 1.3× 42 0.5× 127 1.7× 14 0.4× 93 2.7× 12 361
Joseph G. Potian 109 1.2× 80 1.0× 69 0.9× 8 0.2× 12 0.4× 15 341
Petra Sántha 69 0.8× 51 0.7× 36 0.5× 19 0.5× 91 2.7× 16 339
Sarah Geller 154 1.7× 82 1.1× 36 0.5× 24 0.7× 11 0.3× 20 351
Stefanie C. Altieri 133 1.5× 17 0.2× 137 1.8× 52 1.5× 16 0.5× 11 359
Ling Liu 73 0.8× 34 0.4× 63 0.8× 25 0.7× 134 3.9× 18 363
Teresa L. Garrett 56 0.6× 68 0.9× 50 0.7× 19 0.5× 38 1.1× 12 303

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).

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.

Co-authorship network of co-authors of Amber Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Amber Khan. A scholar is included among the top collaborators of Amber Khan 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 Amber Khan. Amber Khan 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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