Md. Altaf‐Ul‐Amin

3.4k total citations · 2 hit papers
77 papers, 2.1k citations indexed

About

Md. Altaf‐Ul‐Amin is a scholar working on Molecular Biology, Computational Theory and Mathematics and Analytical Chemistry. According to data from OpenAlex, Md. Altaf‐Ul‐Amin has authored 77 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 14 papers in Computational Theory and Mathematics and 8 papers in Analytical Chemistry. Recurrent topics in Md. Altaf‐Ul‐Amin's work include Bioinformatics and Genomic Networks (22 papers), Metabolomics and Mass Spectrometry Studies (14 papers) and Computational Drug Discovery Methods (14 papers). Md. Altaf‐Ul‐Amin is often cited by papers focused on Bioinformatics and Genomic Networks (22 papers), Metabolomics and Mass Spectrometry Studies (14 papers) and Computational Drug Discovery Methods (14 papers). Md. Altaf‐Ul‐Amin collaborates with scholars based in Japan, Indonesia and Malaysia. Md. Altaf‐Ul‐Amin's 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 and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Gene.

In The Last Decade

Md. Altaf‐Ul‐Amin

75 papers receiving 2.1k citations

Hit Papers

KNApSAcK Family Databases: Integrated Metabolite–Plant Sp... 2011 2026 2016 2021 2011 2011 100 200 300 400

Peers

Md. Altaf‐Ul‐Amin
Comparison fields: 5 of 149
  • Molecular Biology 1.5k
  • Computational Theory and Mathematics 377
  • Plant Science 310
  • Genetics 181
  • Pharmacology 147
Replace Jennifer Fostel with:
Jennifer Fostel United States
Mark Williams United Kingdom
Areejit Samal India
Gareth Owen United Kingdom
Abhinav Grover India
Kai‐Cheng Hsu Taiwan
S. Pongor Italy
Naoaki Ono Japan
Jennifer Fostel United States View profile →
Citations per field, relative to Md. Altaf‐Ul‐Amin
Md. Altaf‐Ul‐Amin · 1×
Citations per year, relative to Md. Altaf‐Ul‐Amin
Md. Altaf‐Ul‐Amin · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 5
2 3
3 1
4 4
5 1
6 1
7 5
8 2
9 7
10 25
11 28
12 11
13 11
14 5
15 9
16 12
17 9
18 20
19
MODELLING INGREDIENT OF JAMU TO PREDICT ITS EFFICACY
3
20 24

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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