Kanza Khan

469 total citations
11 papers, 325 citations indexed

About

Kanza Khan is a scholar working on Cell Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Kanza Khan has authored 11 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cell Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Physiology. Recurrent topics in Kanza Khan's work include Zebrafish Biomedical Research Applications (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Stress Responses and Cortisol (2 papers). Kanza Khan is often cited by papers focused on Zebrafish Biomedical Research Applications (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Stress Responses and Cortisol (2 papers). Kanza Khan collaborates with scholars based in United States, Pakistan and Sweden. Kanza Khan's co-authors include David J. Echevarria, Adam D. Collier, Jason E. Warnick, Darya A. Meshalkina, Sergey L. Khatsko, Yu. Yu. Morzherin, Elana Kysil, Tatiana O. Kolesnikova, Allan V. Kalueff and Richard S. Mohn and has published in prestigious journals such as British Journal of Pharmacology, Molecular Psychiatry and Behavioural Brain Research.

In The Last Decade

Kanza Khan

11 papers receiving 322 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kanza Khan United States 7 181 83 81 69 46 11 325
Cássio Morais Loss Brazil 9 128 0.7× 125 1.5× 62 0.8× 62 0.9× 38 0.8× 14 348
Ashton J. Friend United States 9 205 1.1× 61 0.7× 62 0.8× 31 0.4× 22 0.5× 10 292
Ari Sudwarts United States 8 114 0.6× 52 0.6× 70 0.9× 75 1.1× 84 1.8× 10 253
Brian B. Griffiths United States 11 90 0.5× 65 0.8× 129 1.6× 61 0.9× 60 1.3× 17 474
Bruno Rezende Souza Brazil 15 94 0.5× 182 2.2× 167 2.1× 42 0.6× 41 0.9× 35 501
Rahma Hassan-Abdi France 10 113 0.6× 99 1.2× 93 1.1× 64 0.9× 24 0.5× 13 333
Leah Grossman United States 11 349 1.9× 131 1.6× 142 1.8× 70 1.0× 10 0.2× 15 564
Gemma Huguet Spain 15 47 0.3× 191 2.3× 154 1.9× 108 1.6× 29 0.6× 33 656
Aet O’Leary Germany 9 34 0.2× 93 1.1× 63 0.8× 20 0.3× 49 1.1× 20 266
Nicanor Morales-Delgado Spain 11 28 0.2× 58 0.7× 139 1.7× 19 0.3× 47 1.0× 17 338

Countries citing papers authored by Kanza Khan

Since Specialization
Citations

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

Fields of papers citing papers by Kanza Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kanza Khan

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

All Works

11 of 11 papers shown
1.
Wang, Ruixiang, Kanza Khan, B. J. Cooper, et al.. (2024). Tau pathology in the dorsal raphe may be a prodromal indicator of Alzheimer’s disease. Molecular Psychiatry. 30(2). 532–546. 6 indexed citations
2.
Khan, Kanza, et al.. (2024). Interaction of serotonin/GLP-1 circuitry in a dual preclinical model for psychiatric disorders and metabolic dysfunction. Psychiatry Research. 337. 115951–115951. 2 indexed citations
3.
Khan, Kanza, Ruixiang Wang, Govindhasamy Pushpavathi Selvakumar, et al.. (2023). Human tau-overexpressing mice recapitulate brainstem involvement and neuropsychiatric features of early Alzheimer’s disease. Acta Neuropathologica Communications. 11(1). 57–57. 23 indexed citations
4.
Hashim, Adnan, et al.. (2023). Work-Related Risk Factors for Lateral Epicondylitis in Chef in Lahore. 17(1). 241–244. 2 indexed citations
5.
Khan, Kanza, et al.. (2022). Adolescent ethanol drinking promotes hyperalgesia, neuroinflammation and serotonergic deficits in mice that persist into adulthood. Brain Behavior and Immunity. 107. 419–431. 32 indexed citations
6.
Echevarria, David J. & Kanza Khan. (2017). Rest in The Zebrafish. International Journal of Comparative Psychology. 30. 1 indexed citations
7.
Khan, Kanza, Adam D. Collier, Darya A. Meshalkina, et al.. (2017). Zebrafish models in neuropsychopharmacology and CNS drug discovery. British Journal of Pharmacology. 174(13). 1925–1944. 153 indexed citations
8.
Collier, Adam D., et al.. (2014). Zebrafish and conditioned place preference: A translational model of drug reward. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 55. 16–25. 55 indexed citations
9.
Khan, Kanza, et al.. (2014). Modeling PTSD in the zebrafish: Are we there yet?. Behavioural Brain Research. 276. 151–160. 31 indexed citations
10.
Nilsson, Mikael, Christian Danielsson, Ann‐Cathrine Johansson, et al.. (2010). Improved methodology for identifying the teratogenic potential in early drug development of hERG channel blocking drugs. Reproductive Toxicology. 29(2). 156–163. 15 indexed citations
11.
Khan, Kanza & Shahzad Amin Sheikh. (2009). PAPR reduction of OFDM signals using convolutional codes. 7. 26–28. 5 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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