Suleiman A. Khan

2.8k total citations
24 papers, 386 citations indexed

About

Suleiman A. Khan is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Suleiman A. Khan has authored 24 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 5 papers in Artificial Intelligence. Recurrent topics in Suleiman A. Khan's work include Computational Drug Discovery Methods (8 papers), Bioinformatics and Genomic Networks (8 papers) and Gene expression and cancer classification (5 papers). Suleiman A. Khan is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Bioinformatics and Genomic Networks (8 papers) and Gene expression and cancer classification (5 papers). Suleiman A. Khan collaborates with scholars based in Finland, United States and Japan. Suleiman A. Khan's co-authors include Tero Aittokallio, Krister Wennerberg, Samuel Kaski, Muhammad Ammad-ud-din, Olli Kallioniemi, Disha Malani, Mehreen Ali, Astrid Murumägi, Seppo Virtanen and Arto Klami and has published in prestigious journals such as Blood, Bioinformatics and Cancer Research.

In The Last Decade

Suleiman A. Khan

24 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suleiman A. Khan Finland 12 255 150 50 47 26 24 386
Muhammad Ammad-ud-din Finland 8 205 0.8× 160 1.1× 42 0.8× 31 0.7× 16 0.6× 14 289
Antoine Lizée United States 7 269 1.1× 145 1.0× 13 0.3× 73 1.6× 23 0.9× 8 541
Jisoo Park United States 10 357 1.4× 191 1.3× 54 1.1× 60 1.3× 6 0.2× 17 599
Yuqi Wen China 15 432 1.7× 223 1.5× 60 1.2× 47 1.0× 11 0.4× 48 619
Yuansheng Liu China 11 425 1.7× 104 0.7× 64 1.3× 65 1.4× 6 0.2× 23 584
Dongxu Li China 11 224 0.9× 63 0.4× 26 0.5× 44 0.9× 28 1.1× 26 387
Kyle S. Sanchez United States 4 291 1.1× 135 0.9× 92 1.8× 42 0.9× 7 0.3× 6 428
Ladislav Rampášek Canada 6 257 1.0× 153 1.0× 78 1.6× 71 1.5× 5 0.2× 8 532
John J. Y. Lee Canada 6 195 0.8× 134 0.9× 59 1.2× 45 1.0× 4 0.2× 10 345
Chanchala Kaddi United States 10 175 0.7× 54 0.4× 32 0.6× 100 2.1× 5 0.2× 33 550

Countries citing papers authored by Suleiman A. Khan

Since Specialization
Citations

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

Fields of papers citing papers by Suleiman A. Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suleiman A. Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Suleiman A. Khan. A scholar is included among the top collaborators of Suleiman A. 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 Suleiman A. Khan. Suleiman A. 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.
Zontak, Maria, et al.. (2025). What Matters When Building Vision Language Models for Product Image Analysis?. 1282–1291. 1 indexed citations
2.
3.
Khan, Suleiman A., et al.. (2021). COVID-19 Detection via Image Classification using Deep Learning on Chest X-Ray. 1–4. 3 indexed citations
4.
Ahmed, Naheed, Sandra Crouse Quinn, Rupali J. Limaye, & Suleiman A. Khan. (2021). From Interpersonal Violence to Institutionalized Discrimination: Documenting and Assessing the Impact of Islamophobia on Muslim American. Journal of Muslim Mental Health. 15(2). 10 indexed citations
5.
White, Brian S., Suleiman A. Khan, Muhammad Ammad-ud-din, et al.. (2021). Bayesian multi-source regression and monocyte-associated gene expression predict BCL-2 inhibitor resistance in acute myeloid leukemia. npj Precision Oncology. 5(1). 71–71. 16 indexed citations
6.
Kibble, Milla, Suleiman A. Khan, Muhammad Ammad-ud-din, et al.. (2020). An integrative machine learning approach to discovering multi-level molecular mechanisms of obesity using data from monozygotic twin pairs. Royal Society Open Science. 7(10). 200872–200872. 7 indexed citations
7.
Murumägi, Astrid, Daniela Ungureanu, Suleiman A. Khan, et al.. (2019). Abstract 2945: Clinical implementation of precision systems oncology in the treatment of ovarian cancer based on ex-vivo drug testing and molecular profiling. Cancer Research. 79(13_Supplement). 2945–2945. 2 indexed citations
8.
Khan, Suleiman A., Olli Tenhunen, Johanna Magga, et al.. (2019). Novel Screening Method Identifies PI3Kα, mTOR, and IGF1R as Key Kinases Regulating Cardiomyocyte Survival. Journal of the American Heart Association. 8(21). e013018–e013018. 3 indexed citations
9.
Khan, Suleiman A., Marco Prunotto, Jenny Devenport, et al.. (2019). AB0234 AN INTEGRATED PROTEOMICS AND ANTIBODY ANALYSIS OF THE U-ACT-EARLY TRIAL TO IDENTIFY MARKERS OF TREATMENT RESPONSE AND DISEASE PROGRESSION IN EARLY RHEUMATOID ARTHRITIS. Annals of the Rheumatic Diseases. 78. 1574–1574. 1 indexed citations
10.
White, Brian S., Suleiman A. Khan, Muhammad Ammad-ud-din, et al.. (2018). Comparative Analysis of Independent Ex Vivo functional Drug Screens Identifies Predictive Biomarkers of BCL-2 Inhibitor Response in AML. Blood. 132(Supplement 1). 2763–2763. 1 indexed citations
11.
Yamada, Makoto, Wenzhao Lian, Amit Goyal, et al.. (2017). Convex Factorization Machine for Toxicogenomics Prediction. 1215–1224. 15 indexed citations
12.
Ali, Mehreen, Suleiman A. Khan, Krister Wennerberg, & Tero Aittokallio. (2017). Global proteomics profiling improves drug sensitivity prediction: results from a multi-omics, pan-cancer modeling approach. Bioinformatics. 34(8). 1353–1362. 46 indexed citations
13.
Ammad-ud-din, Muhammad, Suleiman A. Khan, Krister Wennerberg, & Tero Aittokallio. (2017). Systematic identification of feature combinations for predicting drug response with Bayesian multi-view multi-task linear regression. Bioinformatics. 33(14). i359–i368. 55 indexed citations
14.
Kibble, Milla, Suleiman A. Khan, Niina Saarinen, et al.. (2016). Transcriptional response networks for elucidating mechanisms of action of multitargeted agents. Drug Discovery Today. 21(7). 1063–1075. 14 indexed citations
15.
Jain, Atul, et al.. (2016). Influence of Television Advertising on Behavior of Children across Socioeconomic Backgrounds. The Journal of Contemporary Dental Practice. 18(1). 52–56. 3 indexed citations
16.
Khan, Suleiman A., Seppo Virtanen, Olli Kallioniemi, et al.. (2014). Identification of structural features in chemicals associated with cancer drug response: a systematic data-driven analysis. Bioinformatics. 30(17). i497–i504. 30 indexed citations
17.
Khan, Suleiman A., et al.. (2013). Kernelized Bayesian Matrix Factorization. International Conference on Machine Learning. 864–872. 17 indexed citations
18.
Khan, Suleiman A., et al.. (2012). Airway management in submandibular abscess patient with awake fibreoptic intubation--a case report.. PubMed. 21(4). 647–51. 4 indexed citations
19.
Khan, Suleiman A., Ali Faisal, John Patrick Mpindi, et al.. (2012). Comprehensive data-driven analysis of the impact of chemoinformatic structure on the genome-wide biological response profiles of cancer cells to 1159 drugs. BMC Bioinformatics. 13(1). 112–112. 15 indexed citations
20.
Virtanen, Seppo, Arto Klami, Suleiman A. Khan, & Samuel Kaski. (2011). Bayesian Group Factor Analysis. arXiv (Cornell University). 1269–1277. 36 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Muhammad Ammad-ud-din Breakdown of academic impact, for papers by Antoine Lizée Breakdown of academic impact, for papers by Jisoo Park Breakdown of academic impact, for papers by Yuqi Wen Breakdown of academic impact, for papers by Yuansheng Liu Breakdown of academic impact, for papers by Dongxu Li Breakdown of academic impact, for papers by Kyle S. Sanchez Breakdown of academic impact, for papers by Ladislav Rampášek Breakdown of academic impact, for papers by John J. Y. Lee Breakdown of academic impact, for papers by Chanchala Kaddi
Rankless by CCL
2026