Md. Chayan Ali

518 citations
17 papers · 354 indexed · h-index 11

Md. Chayan Ali

16 papers receiving 351 citations

Peers

Md. Chayan Ali
Comparison fields: 5 of 74
  • Toxicology 17
  • Pharmacology 42
  • Biological Psychiatry 9
  • Biochemistry 21
  • Molecular Medicine 17
Replace Jalal Soubhye with:
Jalal Soubhye Belgium
Elbert L. Myles United States
Sara Abdelfatah Germany
Preeti Gupta India
Sarah Fernandes Teixeira Brazil
Tian Wu China
Anna Palko-Łabuz Poland
Mei‐Na Jin China
Suvranil Ghosh India
Abhijeet S. Kate India
Md. Chayan Ali relative to Jalal Soubhye Belgium Jalal Soubhye's profile →
Citations per field
00.5×1.6×
Jalal Soubhye · 1×
Citations per year

Countries citing papers authored by Md. Chayan Ali

Since Specialization
Citations

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

Fields of papers citing papers by Md. Chayan Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Md. Chayan Ali, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Md. Chayan Ali Line = papers co-authored together Md. Chayan Ali links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 20230
2 20232
3 202246
4 202268
5 202212
6 202110
7 202120
8 20217
9 20216
10 20212
11 20212
12 202030
13 202032
14 202032
15 202013
16 202010
17 201962

About Md. Chayan Ali

Md. Chayan Ali is a scholar working on Applied Microbiology and Biotechnology, Biochemistry, Toxicology, Computational Theory and Mathematics and Complementary and alternative medicine, having authored 17 papers that have together received 354 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Cholesterol and Lipid Metabolism (2 papers), Essential Oils and Antimicrobial Activity (2 papers), Glycosylation and Glycoproteins Research (1 paper), Bioactive Compounds and Antitumor Agents (1 paper), Antioxidant Activity and Oxidative Stress (1 paper) and Synthesis and biological activity (1 paper). The work is most often cited by research in Toxicology (17 citations), Pharmacology (42 citations), Biological Psychiatry (9 citations), Biochemistry (21 citations) and Molecular Medicine (17 citations). Md. Chayan Ali has collaborated with scholars based in Bangladesh, South Korea and Australia. Frequent co-authors include Raju Dash, Il Soo Moon, Md. Abdul Hannan, Sarmistha Mitra, Yeasmin Akter Munni, S. M. Zahid Hosen, Israt Jahan, Md. Abul Kalam Azad, Diyah Fatimah Oktaviani and Md. Mafizur Rahman. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Biomolecular Structure and Dynamics, Current Pharmaceutical Design, Ageing Research Reviews and Molecules.

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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