Muhammad Ammad-ud-din

1.6k total citations
14 papers, 289 citations indexed

About

Muhammad Ammad-ud-din is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Muhammad Ammad-ud-din has authored 14 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Artificial Intelligence and 4 papers in Computational Theory and Mathematics. Recurrent topics in Muhammad Ammad-ud-din's work include Computational Drug Discovery Methods (4 papers), Gene expression and cancer classification (4 papers) and Acute Myeloid Leukemia Research (3 papers). Muhammad Ammad-ud-din is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Gene expression and cancer classification (4 papers) and Acute Myeloid Leukemia Research (3 papers). Muhammad Ammad-ud-din collaborates with scholars based in Finland, United States and Sweden. Muhammad Ammad-ud-din's co-authors include Suleiman A. Khan, Samuel Kaski, Tero Aittokallio, Krister Wennerberg, Olli Kallioniemi, Disha Malani, Astrid Murumägi, Mehmet Gönen, Tuomo Laitinen and Elisabeth Georgii and has published in prestigious journals such as Blood, Bioinformatics and Journal of Machine Learning Research.

In The Last Decade

Muhammad Ammad-ud-din

13 papers receiving 286 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Muhammad Ammad-ud-din Finland	8	205	160	42	31	27	14	289
Suleiman A. Khan Finland	12	255 1.2×	150 0.9×	50 1.2×	47 1.5×	22 0.8×	24	386
Joseph Saad Finland	3	158 0.8×	109 0.7×	19 0.5×	15 0.5×	21 0.8×	8	213
John J. Y. Lee Canada	6	195 1.0×	134 0.8×	59 1.4×	45 1.5×	36 1.3×	10	345
Weikaixin Kong China	10	251 1.2×	118 0.7×	67 1.6×	13 0.4×	32 1.2×	26	368
Christos Kannas Cyprus	7	161 0.8×	110 0.7×	33 0.8×	13 0.4×	37 1.4×	18	246
Yuqi Wen China	15	432 2.1×	223 1.4×	60 1.4×	47 1.5×	62 2.3×	48	619
Kyle S. Sanchez United States	4	291 1.4×	135 0.8×	92 2.2×	42 1.4×	36 1.3×	6	428
Mehreen Ali Finland	5	136 0.7×	76 0.5×	44 1.0×	23 0.7×	17 0.6×	7	209
Svetlana Bureeva Russia	11	288 1.4×	213 1.3×	14 0.3×	21 0.7×	14 0.5×	18	454
Piotr Grabowski United Kingdom	10	238 1.2×	56 0.3×	29 0.7×	13 0.4×	20 0.7×	20	403

Countries citing papers authored by Muhammad Ammad-ud-din

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Ammad-ud-din

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Ammad-ud-din. 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 Muhammad Ammad-ud-din. The network helps show where Muhammad Ammad-ud-din may publish in the future.

Co-authorship network of co-authors of Muhammad Ammad-ud-din

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

All Works

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14 of 14 papers shown

Ali, Waqar, Muhammad Ammad-ud-din, Xiangmin Zhou, Yan Zhang, & Jie Shao. (2024). Communication-Efficient Federated Neural Collaborative Filtering with Multi-Armed Bandits. 4(1). 1–28. 5 indexed citations

Ammad-ud-din, Muhammad, et al.. (2023). Risks and Outcomes of Tumor Lysis Syndrome in Patients Admitted with Diffuse Large B Cell Lymphoma; A Nationwide Analysis. Blood. 142(Supplement 1). 5166–5166. 1 indexed citations

Komrokji, Rami S., Muhammad Ammad-ud-din, Najla H. Al Ali, et al.. (2023). Hematological Response to Frontline Treatment in Lower Risk Myelodysplastic Syndromes (LRMDS) Is Associated with Better Overall Survival. Blood. 142(Supplement 1). 1867–1867.

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

Malik, Aqdas, et al.. (2021). Modeling Public Sentiments About JUUL Flavors on Twitter Through Machine Learning. Nicotine & Tobacco Research. 23(11). 1869–1879. 12 indexed citations

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

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

Micallef, Luana, Pekka Marttinen, Muhammad Ammad-ud-din, et al.. (2017). Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets. arXiv (Cornell University). 547–552. 15 indexed citations

Ammad-ud-din, Muhammad. (2017). Machine learning methods for improving drug response prediction in cancer. Aaltodoc (Aalto University). 1 indexed citations

10.

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

11.

Ammad-ud-din, Muhammad, et al.. (2016). GFA: Exploratory Analysis of Multiple Data Sources with Group Factor Analysis. Journal of Machine Learning Research. 18(1). 1294–1298. 9 indexed citations

12.

Ammad-ud-din, Muhammad, et al.. (2016). Regression with n→1 by Expert Knowledge Elicitation. arXiv (Cornell University). 734–739. 2 indexed citations

13.

Ammad-ud-din, Muhammad, Suleiman A. Khan, Disha Malani, et al.. (2016). Drug response prediction by inferring pathway-response associations with kernelized Bayesian matrix factorization. Bioinformatics. 32(17). i455–i463. 81 indexed citations

14.

Ammad-ud-din, Muhammad, Elisabeth Georgii, Mehmet Gönen, et al.. (2014). Integrative and Personalized QSAR Analysis in Cancer by Kernelized Bayesian Matrix Factorization. Journal of Chemical Information and Modeling. 54(8). 2347–2359. 84 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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