Md. Shahjaman

855 total citations
26 papers, 585 citations indexed

About

Md. Shahjaman is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Md. Shahjaman has authored 26 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 4 papers in Infectious Diseases. Recurrent topics in Md. Shahjaman's work include Gene expression and cancer classification (9 papers), Computational Drug Discovery Methods (6 papers) and Bioinformatics and Genomic Networks (5 papers). Md. Shahjaman is often cited by papers focused on Gene expression and cancer classification (9 papers), Computational Drug Discovery Methods (6 papers) and Bioinformatics and Genomic Networks (5 papers). Md. Shahjaman collaborates with scholars based in Bangladesh, Australia and Türkiye. Md. Shahjaman's co-authors include Md Rezanur Rahman, Mohammad Ali Moni, Tania Islam, Md. Nurul Haque Mollah, Esra Göv, S. M. Shahinul Islam, Nishith Kumar, Kazım Yalçın Arğa, Fazlul Huq and Julian M.W. Quinn and has published in prestigious journals such as European Journal of Pharmacology, BioMed Research International and Genomics.

In The Last Decade

Md. Shahjaman

25 papers receiving 574 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Md. Shahjaman Bangladesh 14 367 105 84 74 63 26 585
Tania Islam Bangladesh 13 365 1.0× 69 0.7× 89 1.1× 90 1.2× 57 0.9× 19 588
Minjae Yoo United States 11 324 0.9× 51 0.5× 97 1.2× 135 1.8× 96 1.5× 14 634
Connor P. Oates United States 9 251 0.7× 67 0.6× 49 0.6× 64 0.9× 39 0.6× 27 571
Beste Turanlı Türkiye 16 500 1.4× 27 0.3× 141 1.7× 138 1.9× 133 2.1× 33 737
Yang De Marinis Sweden 11 378 1.0× 66 0.6× 28 0.3× 25 0.3× 38 0.6× 22 614
Anders Riutta United States 4 583 1.6× 20 0.2× 133 1.6× 79 1.1× 78 1.2× 6 842
П. С. Деменков Russia 16 433 1.2× 20 0.2× 64 0.8× 50 0.7× 46 0.7× 77 674
Ryan A. Miller United States 6 576 1.6× 20 0.2× 134 1.6× 85 1.1× 77 1.2× 16 856
Cankut Çubuk United Kingdom 15 362 1.0× 30 0.3× 89 1.1× 35 0.5× 26 0.4× 32 648

Countries citing papers authored by Md. Shahjaman

Since Specialization
Citations

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

Fields of papers citing papers by Md. Shahjaman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Md. Shahjaman

This figure shows the co-authorship network connecting the top 25 collaborators of Md. Shahjaman. A scholar is included among the top collaborators of Md. Shahjaman 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 Md. Shahjaman. Md. Shahjaman 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.
Islam, Abu Reza Md. Towfiqul, Ahmed Elbeltagi, Javed Mallick, et al.. (2023). Application of optimal subset regression and stacking hybrid models to estimate COVID-19 cases in Dhaka, Bangladesh. Theoretical and Applied Climatology. 154(3-4). 797–814. 2 indexed citations
2.
Shahjaman, Md., et al.. (2021). A network-based systems biology approach for identification of shared Gene signatures between male and female in COVID-19 datasets. Informatics in Medicine Unlocked. 25. 100702–100702. 7 indexed citations
3.
Shahjaman, Md., et al.. (2021). rMisbeta: A robust missing value imputation approach in transcriptomics and metabolomics data. Computers in Biology and Medicine. 138. 104911–104911. 11 indexed citations
4.
Zhang, Chongqi, et al.. (2021). Network-based transcriptomic analysis identifies the genetic effect of COVID-19 to chronic kidney disease patients: A bioinformatics approach. Saudi Journal of Biological Sciences. 28(10). 5647–5656. 13 indexed citations
5.
Islam, Tania, et al.. (2020). Integrative transcriptomics analysis of lung epithelial cells and identification of repurposable drug candidates for COVID-19. European Journal of Pharmacology. 887. 173594–173594. 54 indexed citations
6.
Rahman, Md Rezanur, Maria Cristina Petralia, Rosella Ciurleo, et al.. (2020). Comprehensive Analysis of RNA-Seq Gene Expression Profiling of Brain Transcriptomes Reveals Novel Genes, Regulators, and Pathways in Autism Spectrum Disorder. Brain Sciences. 10(10). 747–747. 40 indexed citations
7.
Rahman, Md Rezanur, Tania Islam, Md. Shahjaman, et al.. (2019). Identification of molecular signatures and pathways to identify novel therapeutic targets in Alzheimer's disease: Insights from a systems biomedicine perspective. Genomics. 112(2). 1290–1299. 104 indexed citations
8.
Shahjaman, Md., et al.. (2019). Robust identification of differentially expressed genes from RNA-seq data. Genomics. 112(2). 2000–2010. 22 indexed citations
9.
Rahman, Md Rezanur, Tania Islam, Esra Göv, et al.. (2019). Identification of Prognostic Biomarker Signatures and Candidate Drugs in Colorectal Cancer: Insights from Systems Biology Analysis. Medicina. 55(1). 20–20. 51 indexed citations
10.
Shahjaman, Md., Md Rezanur Rahman, S. M. Shahinul Islam, & Md. Nurul Haque Mollah. (2019). A Robust Approach for Identification of Cancer Biomarkers and Candidate Drugs. Medicina. 55(6). 269–269. 14 indexed citations
11.
Islam, S. M. Shahinul, et al.. (2019). Improved k-nearest neighbors approach for incomplete and contaminated gene expression datasets. Journal of Bio-Science. 27. 31–41. 1 indexed citations
12.
Ahmed, Shakil, Md. Shahjaman, Enamul Kabir, & Md. Kamruzzaman. (2018). Prediction of Protein Acetylation Sites using Kernel Naive Bayes Classifier Based on Protein Sequences Profiling. Bioinformation. 14(5). 213–218. 8 indexed citations
13.
Shahjaman, Md., Nishith Kumar, & Md. Nurul Haque Mollah. (2018). Performance Improvement of Gene Selection Methods using Outlier Modification Rule. Current Bioinformatics. 14(6). 491–503. 4 indexed citations
14.
Ahmed, Shakil, Md. Shahjaman, Enamul Kabir, & Md. Kamruzzaman. (2018). Structure modeling to function prediction of Uncharacterized Human Protein C15orf41. Bioinformation. 14(5). 206–212. 2 indexed citations
15.
Kumar, Nishith, Md. Aminul Hoque, Md. Shahjaman, S. M. Shahinul Islam, & Md. Nurul Haque Mollah. (2017). Metabolomic Biomarker Identification in Presence of Outliers and Missing Values. BioMed Research International. 2017. 1–11. 21 indexed citations
16.
Ahmed, Shakil, et al.. (2017). Robustification of Naïve Bayes Classifier and Its Application for Microarray Gene Expression Data Analysis. BioMed Research International. 2017. 1–17. 19 indexed citations
17.
Shahjaman, Md., Nishith Kumar, Shakil Ahmed, et al.. (2017). Robust Significance Analysis of Microarrays by Minimumβ-Divergence Method. BioMed Research International. 2017. 1–18. 11 indexed citations
18.
Shahjaman, Md., et al.. (2017). Robust Feature Selection Approach for Patient Classification using Gene Expression Data. Bioinformation. 13(10). 327–332. 7 indexed citations
19.
Kumar, Nishith, Md. Shahjaman, Md. Nurul Haque Mollah, S. M. Shahinul Islam, & Md. Aminul Hoque. (2017). Serum and Plasma Metabolomic Biomarkers for Lung Cancer. Bioinformation. 13(6). 202–208. 38 indexed citations
20.
Kumar, Nishith, et al.. (2017). A New Approach of Outlier-robust Missing Value Imputation for Metabolomics Data Analysis. Current Bioinformatics. 14(1). 43–52. 13 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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