Faisal M. Khan

2.2k total citations · 1 hit paper
65 papers, 1.2k citations indexed

About

Faisal M. Khan is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Faisal M. Khan has authored 65 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pulmonary and Respiratory Medicine, 17 papers in Artificial Intelligence and 12 papers in Statistics and Probability. Recurrent topics in Faisal M. Khan's work include Prostate Cancer Diagnosis and Treatment (14 papers), Prostate Cancer Treatment and Research (11 papers) and AI in cancer detection (9 papers). Faisal M. Khan is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (14 papers), Prostate Cancer Treatment and Research (11 papers) and AI in cancer detection (9 papers). Faisal M. Khan collaborates with scholars based in United States, United Kingdom and Germany. Faisal M. Khan's co-authors include Frieder Enzmann, Michael Kersten, Valentina Bayer Zubek, Michael Donovan, William M. Pottenger, Mark G. Arnold, Axel Makurat, Ryan T. Armstrong, Maja Rücker and Steffen Berg and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer.

In The Last Decade

Faisal M. Khan

57 papers receiving 1.1k citations

Hit Papers

From connected pathway fl... 2015 2026 2018 2022 2015 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. From connected pathway flow to ganglion dynamics
    2015 237 citations Faisal M. Khan, Frieder Enzmann et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Faisal M. Khan United States 15 333 244 218 214 197 65 1.2k
Marco Aurélio C. Pacheco Brazil 22 506 1.5× 50 0.2× 20 0.1× 404 1.9× 626 3.2× 123 1.6k
Yanyan Li China 23 62 0.2× 136 0.6× 94 0.4× 75 0.4× 116 0.6× 151 2.2k
Yusen Zhang China 25 95 0.3× 50 0.2× 34 0.2× 75 0.4× 232 1.2× 151 2.0k
Xuemei Zhao China 19 52 0.2× 124 0.5× 24 0.1× 33 0.2× 133 0.7× 116 1.5k
Pingjie Huang China 19 89 0.3× 201 0.8× 20 0.1× 299 1.4× 53 0.3× 96 1.0k
Huina Li China 13 238 0.7× 137 0.6× 17 0.1× 184 0.9× 42 0.2× 47 696
Yiqing Zhao China 17 21 0.1× 81 0.3× 32 0.1× 89 0.4× 262 1.3× 69 1.2k
Bin Chen China 20 47 0.1× 27 0.1× 33 0.2× 81 0.4× 129 0.7× 114 1.4k
Christoph Böhm Germany 19 32 0.1× 140 0.6× 28 0.1× 155 0.7× 198 1.0× 107 1.5k

Countries citing papers authored by Faisal M. Khan

Since Specialization
Citations

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

Fields of papers citing papers by Faisal M. Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faisal M. Khan

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

All Works

20 of 20 papers shown
1.
Li, Xinqi, et al.. (2025). Multiclass Synthetic Accessibility Prediction. Journal of Chemical Information and Modeling. 65(3). 1155–1165. 1 indexed citations
2.
Ibrahim, Muhammad, Faisal M. Khan, Hong‐Liang Xu, & Muhammad Arif Ali. (2025). Exploring the role of H-migration in the aromaticity, spectroscopic, photovoltaic and optical properties of planar heterocyclic compounds: a DFT study. Physical Chemistry Chemical Physics. 27(24). 12871–12885. 7 indexed citations
3.
Khan, Faisal M., et al.. (2025). Extrusion of carbon with SON in heterocycles for enhanced static and dynamic hyperpolarizabilities and light harvesting efficiencies. Chemical Physics. 596. 112761–112761. 10 indexed citations
4.
Khan, Faisal M., et al.. (2025). Unlocking the potential of Indolo-Carbazole Derivatives: first-principles insights into charge injection and optical switching applications. Journal of Physics and Chemistry of Solids. 208. 113021–113021. 3 indexed citations
5.
Crook, Peter, et al.. (2025). A case of ibrutinib-associated cryptococcal meningitis with a steroid-responsive immune reconstitution syndrome. Clinical Infection in Practice. 27. 100505–100505.
6.
Khan, Faisal M., et al.. (2024). Advanced ECG Monitoring: Machine Learning And Robotics For Real-Time Health Management. IOSR Journal of Electronics and Communication Engineering. 19(5). 8–11.
7.
Ali, Syed Zeeshan, et al.. (2024). Design And Implementation Of An ESP32-Based Smart Home Automation System With Environmental Monitoring And Automated Controls. IOSR Journal of Electronics and Communication Engineering. 19(6). 23–28.
8.
9.
Shameer, Khader, Youyi Zhang, Dan Jackson, et al.. (2021). Correlation Between Early Endpoints and Overall Survival in Non-Small-Cell Lung Cancer: A Trial-Level Meta-Analysis. Frontiers in Oncology. 11. 672916–672916. 17 indexed citations
10.
11.
Donovan, Michael, Gerardo Fernández, Faisal M. Khan, et al.. (2018). Development and validation of a novel automated Gleason grade and molecular profile that define a highly predictive prostate cancer progression algorithm-based test. Prostate Cancer and Prostatic Diseases. 21(4). 594–603. 17 indexed citations
12.
Khan, Faisal M., et al.. (2017). Predicting and replacing the pathological Gleason grade with automated gland ring morphometric features from immunofluorescent prostate cancer images. Journal of Medical Imaging. 4(2). 21103–21103. 3 indexed citations
13.
Khan, Faisal M., Frieder Enzmann, & Michael Kersten. (2016). Multi-phase classification by a least-squares support vector machine approach in tomography images of geological samples. Solid Earth. 7(2). 481–492. 14 indexed citations
14.
15.
Donovan, Michael, et al.. (2015). Prostate cancer prognosis via integrative and co-localized glandular morphometry and immunofluorescent protein biomarker expression.. Journal of Clinical Oncology. 33(7_suppl). 262–262. 1 indexed citations
16.
17.
Zubek, Valentina Bayer & Faisal M. Khan. (2010). Aggregating Multiple Biological Measurements Per Patient. 788–792. 2 indexed citations
18.
Khan, Faisal M. & Valentina Bayer Zubek. (2008). Support Vector Regression for Censored Data (SVRc): A Novel Tool for Survival Analysis. 863–868. 92 indexed citations
19.
Donovan, Michael, Stefan Hamann, Faisal M. Khan, et al.. (2008). Systems Pathology Approach for the Prediction of Prostate Cancer Progression After Radical Prostatectomy. Journal of Clinical Oncology. 26(24). 3923–3929. 70 indexed citations
20.
Khan, Faisal M., Mark G. Arnold, & William M. Pottenger. (2004). Finite precision analysis of support vector machine classification in logarithmic number systems. 254–261. 11 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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