Md. Altaf‐Ul‐Amin

3.4k citations

77 papers · 2.1k indexed · 2 hit papers · h-index 17

Molecular Biology top 5%
Computational Theory and Mathematics top 1%
Plant Science top 10%
Genetics top 10%
Pharmacology top 10%

Co-authors: Shigehiko Kanaya Hiroki Takahashi Kensuke Nakamura Ken Kurokawa Farit Mochamad Afendi Yoko Shinbo Naoaki Ono Taketo Okada
Topics: Bioinformatics and Genomic Networks (22 papers)Metabolomics and Mass Spectrometry Studies (14 papers)Computational Drug Discovery Methods (14 papers)
Cited by: Computational Theory and Mathematics Molecular Biology Complementary and alternative medicine
Journals: Nucleic Acids Research PLoS ONE Gene
Partner nations: Japan Indonesia Malaysia

In The Last Decade

Md. Altaf‐Ul‐Amin

75 papers receiving 2.1k citations

Hit Papers

align trajectories

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.

KNApSAcK Family Databases: Integrated Metabolite–Plant Species Databases for Multifaceted Plant Research

2011 472 citations Farit Mochamad Afendi, Yukiko Nakamura et al. Plant and Cell Physiology profile →
Sequence-specific error profile of Illumina sequencers

2011 435 citations Taku Oshima, Aki Hirai et al. profile →

Peers

Countries citing papers authored by Md. Altaf‐Ul‐Amin

Since Specialization

Citations

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

Fields of papers citing papers by Md. Altaf‐Ul‐Amin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md. Altaf‐Ul‐Amin. 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. Altaf‐Ul‐Amin. The network helps show where Md. Altaf‐Ul‐Amin may publish in the future.

Co-authorship network of co-authors of Md. Altaf‐Ul‐Amin

This figure shows the co-authorship network connecting the top 25 collaborators of Md. Altaf‐Ul‐Amin. A scholar is included among the top collaborators of Md. Altaf‐Ul‐Amin 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. Altaf‐Ul‐Amin. Md. Altaf‐Ul‐Amin 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

#	Work	Indexed citations
1	On finding natural antibiotics based on TCM formulae 2023 ·Methods ·(unknown),(unknown),Shuo Yang,Zheng Chen,Naoaki Ono,Shigehiko Kanaya,Md. Altaf‐Ul‐Amin	5
2	Learning vector quantized representation for cancer subtypes identification 2023 ·Computer Methods and Programs in Biomedicine ·Zheng Chen,Ziwei Yang,(unknown),(unknown),Takashi Matsubara,Shigehiko Kanaya,Md. Altaf‐Ul‐Amin	3
3	Information maximization-based clustering of histopathology images using deep learning 2023 ·PLOS Digital Health ·(unknown),Naoaki Ono,Kenoki Ohuchida,Md. Altaf‐Ul‐Amin,Ming Huang,Shigehiko Kanaya	1
4	On QSAR-based cardiotoxicity modeling with the expressiveness-enhanced graph learning model and dual-threshold scheme 2023 ·Frontiers in Physiology ·Huijia Wang,(unknown),Leighton T. Izu,Ye Chen‐Izu,Naoaki Ono,Md. Altaf‐Ul‐Amin,Shigehiko Kanaya,Ming Huang	4
5	Deep Learning-Based Sleep Staging with Acceleration and Heart Rate Data of a Consumer Wearable Device 2022 ·(unknown),Zheng Chen,Naoaki Ono,Md. Altaf‐Ul‐Amin,Shigehiko Kanaya,Ming Huang	1
6	Hierarchical Categorical Generative Modeling for Multi-omics Cancer Subtyping 2022 ·2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) ·Ziwei Yang,(unknown),Chen Li,Zheng Chen,(unknown),Md. Altaf‐Ul‐Amin,Shigehiko Kanaya	1
7	DPClusSBO: An integrated software for clustering of simple and bipartite graphs 2021 ·SoftwareX ·(unknown),Shigehiko Kanaya,Md. Altaf‐Ul‐Amin	5
8	Kinematics approach with neural networks for early detection of sepsis (KANNEDS) 2021 ·BMC Medical Informatics and Decision Making ·(unknown),Naoaki Ono,Ming Huang,Md. Altaf‐Ul‐Amin,Shigehiko Kanaya,(unknown)	2
9	An approach to increase the power output of Karnafuli Hydroelectric Power Station: A step to sustainable development in Bangladesh’s energy sector 2021 ·PLoS ONE ·(unknown),(unknown),(unknown),(unknown),Md. Altaf‐Ul‐Amin	7
10	Divergence of metabolites in three phylogenetically close Monascus species (M. pilosus, M. ruber, and M. purpureus) based on secondary metabolite biosynthetic gene clusters 2020 ·BMC Genomics ·(unknown),Young‐Soo Kim,Md. Altaf‐Ul‐Amin,Ming Huang,Naoaki Ono,Shigehiko Kanaya	25
11	Classification of alkaloids according to the starting substances of their biosynthetic pathways using graph convolutional neural networks 2019 ·BMC Bioinformatics ·(unknown),Naoaki Ono,(unknown),(unknown),Satoshi Nakamura,Ming Huang,Md. Altaf‐Ul‐Amin,Shigehiko Kanaya	28
12	Graph cluster approach in identifying novel proteins and significant pathways involved in polycystic ovary syndrome 2019 ·Reproductive BioMedicine Online ·Nor Afiqah‐Aleng,Md. Altaf‐Ul‐Amin,Shigehiko Kanaya,Zeti‐Azura Mohamed‐Hussein	11
13	Classification of lung adenocarcinoma transcriptome subtypes from pathological images using deep convolutional networks 2018 ·International Journal of Computer Assisted Radiology and Surgery ·(unknown),Naoaki Ono,Akira Saito,Tetsuo Sato,Md. Altaf‐Ul‐Amin,Shigehiko Kanaya	11
14	Integrated pathway-based transcription regulation network mining and visualization based on gene expression profiles 2016 ·Journal of Biomedical Informatics ·Nelson Kibinge,Naoaki Ono,Masafumi Horie,Tetsuo Sato,Tadao Sugiura,Md. Altaf‐Ul‐Amin,Akira Saito,Shigehiko Kanaya	5
15	Targeted Integration of RNA-Seq and Metabolite Data to Elucidate Curcuminoid Biosynthesis in Four Curcuma Species 2015 ·Plant and Cell Physiology ·(unknown),Naoaki Ono,Tetsuo Sato,Tadao Sugiura,Md. Altaf‐Ul‐Amin,Daisaku Ohta,Hideyuki Suzuki,Masanori Arita,Ken Tanaka,(unknown),Shigehiko Kanaya	9
16	Clustering of 3D‐Structure Similarity Based Network of Secondary Metabolites Reveals Their Relationships with Biological Activities 2014 ·Molecular Informatics ·(unknown),Azian Azamimi Abdullah,Md. Altaf‐Ul‐Amin,Ming Huang,Naoaki Ono,Tetsuo Sato,Tadao Sugiura,Hisayuki Horai,Yukiko Nakamura,(unknown),Klaus W. Lange,Nelson Kibinge,(unknown),Tsuyoshi Shirai,Shigehiko Kanaya	12
17	Efficacy Prediction of Jamu Formulations by PLS Modeling 2013 ·Current Computer - Aided Drug Design ·Farit Mochamad Afendi,Latifah Kosim Darusman,(unknown),Md. Altaf‐Ul‐Amin,Hiroki Takahashi,(unknown),Ken Tanaka,Shigehiko Kanaya	9
18	Prediction of operon-like gene clusters in the Arabidopsis thaliana genome based on co-expression analysis of neighboring genes 2012 ·Gene ·Masayoshi Wada,Hiroki Takahashi,Md. Altaf‐Ul‐Amin,Kensuke Nakamura,Masami Yokota Hirai,Daisaku Ohta,Shigehiko Kanaya	20
19	MODELLING INGREDIENT OF JAMU TO PREDICT ITS EFFICACY 2010 ·Farit Mochamad Afendi,Sulistiyani Sulistiyani,Aki Hirai,Md. Altaf‐Ul‐Amin,Hiroki Takahashi,(unknown),Shigehiko Kanaya	3
20	Dynamics of Time-Lagged Gene-to-Metabolite Networks of Escherichia coli Elucidated by Integrative Omics Approach 2010 ·OMICS A Journal of Integrative Biology ·Hiroki Takahashi,(unknown),(unknown),Taku Oshima,Md. Altaf‐Ul‐Amin,Naotake Ogasawara,Shigehiko Kanaya	24

About Md. Altaf‐Ul‐Amin

Md. Altaf‐Ul‐Amin is a scholar working on Computational Theory and Mathematics, Analytical Chemistry and Hardware and Architecture, having authored 77 papers that have together received 2.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (22 papers), Metabolomics and Mass Spectrometry Studies (14 papers) and Computational Drug Discovery Methods (14 papers). The work is most often cited by research in Computational Theory and Mathematics (377 citations), Molecular Biology (1.5k citations) and Complementary and alternative medicine (108 citations). Md. Altaf‐Ul‐Amin has collaborated with scholars based in Japan, Indonesia and Malaysia. Frequent co-authors include Shigehiko Kanaya, Hiroki Takahashi, Kensuke Nakamura, Ken Kurokawa, Farit Mochamad Afendi, Yoko Shinbo, Naoaki Ono, Taketo Okada, Latifah Kosim Darusman and Yukiko Nakamura. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and Gene.

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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