Ayesha Khan

3.7k total citations
130 papers, 2.8k citations indexed

About

Ayesha Khan is a scholar working on Biomedical Engineering, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Ayesha Khan has authored 130 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Biomedical Engineering, 45 papers in Molecular Biology and 27 papers in Animal Science and Zoology. Recurrent topics in Ayesha Khan's work include Biofuel production and bioconversion (42 papers), Meat and Animal Product Quality (27 papers) and Enzyme Production and Characterization (18 papers). Ayesha Khan is often cited by papers focused on Biofuel production and bioconversion (42 papers), Meat and Animal Product Quality (27 papers) and Enzyme Production and Characterization (18 papers). Ayesha Khan collaborates with scholars based in Canada, United States and Colombia. Ayesha Khan's co-authors include L. van den Berg, Christopher Exley, J. N. Saddler, César A. Arias, G. B. Patel, C.P. Lentz, J. Ross Colvin, William R. Miller, Emily House and Joanna F. Collingwood and has published in prestigious journals such as Nature, Science and Applied and Environmental Microbiology.

In The Last Decade

Ayesha Khan

126 papers receiving 2.6k citations

Peers

Ayesha Khan

ASZ

BIOTE

Hajime Takahashi Japan

J. G. Morris United Kingdom

Kimon Andreas G. Karatzas United Kingdom

Yuanyuan Shan China

Beatriz Miralles Spain

Qing Kong China

Yingjian Lu China

Haijin Mou China

Enrica Pessione Italy

Mark Nelson United States

Hajime Takahashi Japan

Ayesha Khan

2.7k ×2.8

370 ×0.5

361 ×0.6

ASZ

663 ×1.7

951 ×2.5

BIOTE

Citations per year, relative to Ayesha Khan Ayesha Khan (= 1×) peers Hajime Takahashi

Countries citing papers authored by Ayesha Khan

Since Specialization

Citations

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

Fields of papers citing papers by Ayesha Khan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayesha Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Ayesha Khan. A scholar is included among the top collaborators of Ayesha 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 Ayesha Khan. Ayesha 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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20 of 20 papers shown

Tran, Truc T., Diana Panesso, Rutan Zhang, et al.. (2024). Molecular basis of cell membrane adaptation in daptomycin-resistant Enterococcus faecalis. JCI Insight. 9(22). 3 indexed citations

Miller, William R., Kavindra V. Singh, Ayesha Khan, et al.. (2024). Membrane Lipids Augment Cell Envelope Stress Signaling via the MadRS System to Defend Against Antimicrobial Peptides and Antibiotics in Enterococcus faecalis. The Journal of Infectious Diseases. 231(2). 307–317. 3 indexed citations

Khan, Ayesha, Tahira Batool, Zobia Noreen, et al.. (2024). Multidrug resistance among uropathogenic clonal group A E. Coli isolates from Pakistani women with uncomplicated urinary tract infections. BMC Microbiology. 24(1). 74–74. 6 indexed citations

Shropshire, William C., Bradley T. Endres, Samuel L Aitken, et al.. (2023). High-level ceftazidime/avibactam resistance in Escherichia coli conferred by the novel plasmid-mediated β-lactamase CMY-185 variant. Journal of Antimicrobial Chemotherapy. 78(10). 2442–2450. 10 indexed citations

Khan, Ayesha, et al.. (2023). Research of methods of DNA extraction from raw milk. Dairy Industry. 115–116.

Khan, Ayesha, Richard Killick, Dominique Hoogland, et al.. (2023). Masking the transmembrane region of the amyloid β precursor protein as a safe means to lower amyloid β production. Alzheimer s & Dementia Translational Research & Clinical Interventions. 9(4). e12428–e12428. 1 indexed citations

Khan, Ayesha, et al.. (2021). Evaluation of the Performance of Manual Antimicrobial Susceptibility Testing Methods and Disk Breakpoints for Stenotrophomonas maltophilia. Antimicrobial Agents and Chemotherapy. 65(5). 24 indexed citations

Khan, Ayesha, César A. Arias, April N. Abbott, et al.. (2021). Evaluation of the Vitek 2, Phoenix, and MicroScan for Antimicrobial Susceptibility Testing of Stenotrophomonas maltophilia. Journal of Clinical Microbiology. 59(9). e0065421–e0065421. 33 indexed citations

Khan, Ayesha, Truc T. Tran, Rafael Ríos, et al.. (2019). Extensively Drug-Resistant Pseudomonas aeruginosa ST309 Harboring Tandem Guiana Extended Spectrum β-Lactamase Enzymes: A Newly Emerging Threat in the United States. Open Forum Infectious Diseases. 6(7). ofz273–ofz273. 40 indexed citations

10.

Khan, Ayesha, Anne Corbett, & Clive Ballard. (2017). Emerging treatments for Alzheimer’s disease for non-amyloid and non-tau targets. Expert Review of Neurotherapeutics. 17(7). 683–695. 34 indexed citations

11.

Chen, Charles H., et al.. (2015). Pore Formation Mechanisms of Melittin-Like Membrane-Active Peptides. Biophysical Journal. 108(2). 497a–498a. 1 indexed citations

12.

Chen, Charles H., Gregory Wiedman, Ayesha Khan, & Martin B. Ulmschneider. (2014). Absorption and folding of melittin onto lipid bilayer membranes via unbiased atomic detail microsecond molecular dynamics simulation. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1838(9). 2243–2249. 51 indexed citations

13.

Khan, Ayesha, et al.. (2014). Hospital Clostridium difficile outbreak linked to laundry machine malfunction. American Journal of Infection Control. 42(6). 674–675. 8 indexed citations

14.

Khan, Ayesha, Alison E. Ashcroft, Olga V. Korchazhkina, & Christopher Exley. (2004). Metal-mediated formation of fibrillar ABri amyloid. Journal of Inorganic Biochemistry. 98(12). 2006–2010. 31 indexed citations

15.

Joshi, Anil K., et al.. (1985). Biotransformation of 3‐methoxy‐8,14‐seco‐1,3,5(10),9(11) estratetraen‐14,17‐dione (secodione) to its 17β‐hydroxy derivative (secol) using immobilized yeast cells (Pichia farinosa Y‐118). Biotechnology and Bioengineering. 27(9). 1347–1352. 3 indexed citations

16.

Asther, M. & Ayesha Khan. (1984). Influence of the presence of Zymomonas anaerobia on the conversion of cellobiose, glucose, and xylose to ethanol by Clostridium saccharolyticum. Biotechnology and Bioengineering. 26(8). 970–972. 8 indexed citations

17.

Khan, Ayesha, S. Shea Miller, & William D. Murray. (1983). Development of a two‐phase combination fermenter for the conversion of cellulose to methane. Biotechnology and Bioengineering. 25(6). 1571–1579. 12 indexed citations

18.

Khan, Ayesha & L. van den Berg. (1981). Cellulase production by the anaerobic digestion process. 11. 2 indexed citations

19.

Khan, Ayesha & C.P. Lentz. (1977). Effects of freezing, thawing and storage on some quality factors for portion-size beef cuts. Meat Science. 1(4). 263–270. 17 indexed citations

20.

Khan, Ayesha. (1977). Some factors causing variation in the texture of similar muscles from comparable animals. Meat Science. 1(3). 169–176. 8 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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