Areejit Samal
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- Computational Drug Discovery Methods 14
- Topological and Geometric Data Analysis 8
- Pharmacology top 5%
- Microbial Natural Products and Biosynthesis 6
- Molecular Biology top 10%
- Gene Regulatory Network Analysis 19
- Microbial Metabolic Engineering and Bioproduction 18
- Bioinformatics and Genomic Networks 17
- Toxicology top 10%
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- Health, Environment, Cognitive Aging 7
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- Complex Network Analysis Techniques 7
- Co-authors
- R.P. Vivek-AnanthKarthikeyan MohanrajBagavathy Shanmugam KarthikeyanS.R. AparnaRamesh ChandAjaya Kumar SahooSanjay JainJürgen Jost
- Journals
- Scientific Reports (6 papers)ACS Omega (6 papers)The Science of The Total Environment (6 papers)
- Partner nations
- IndiaGermanyUnited States
In The Last Decade
Areejit Samal
78 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Computational Theory and Mathematics 496
- Pharmacology 112
- Molecular Biology 857
- Complementary and alternative medicine 98
- Toxicology 30
Countries citing papers authored by Areejit Samal
This map shows the geographic impact of Areejit Samal'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 Areejit Samal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Areejit Samal more than expected).
Fields of papers citing papers by Areejit Samal
This network shows the impact of papers produced by Areejit Samal. 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 Areejit Samal. The network helps show where Areejit Samal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Areejit Samal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 7 | |
| 7 | 2022 | 12 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 33 | |
| 10 | 2022 | 2 | |
| 11 | 2021 | 24 | |
| 12 | 2021 | 8 | |
| 13 | 2020 | 4 | |
| 14 | 2019 | 17 | |
| 15 | IMPPAT: A curated database of Indian Medicinal Plants, Phytochemistry And Therapeuticsbreakdown → | 2018 | 400 |
| 16 | 2015 | 8 | |
| 17 | 2013 | 14 | |
| 18 | 2010 | 25 | |
| 19 | 2008 | 8 | |
| 20 | Low degree metabolites enhance modularity in biological networks and explain essential metabolic reactions | 2005 | 1 |
About Areejit Samal
Areejit Samal is a scholar working on Computational Theory and Mathematics, Aging, Health, Toxicology and Mutagenesis, Statistical and Nonlinear Physics and Molecular Biology, having authored 82 papers that have together received 1.7k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (19 papers), Microbial Metabolic Engineering and Bioproduction (18 papers), Bioinformatics and Genomic Networks (17 papers), Computational Drug Discovery Methods (14 papers), Topological and Geometric Data Analysis (8 papers), Health, Environment, Cognitive Aging (7 papers), Complex Network Analysis Techniques (7 papers) and Microbial Natural Products and Biosynthesis (6 papers). The work is most often cited by research in Computational Theory and Mathematics (496 citations), Pharmacology (112 citations), Molecular Biology (857 citations), Complementary and alternative medicine (98 citations) and Toxicology (30 citations). Areejit Samal has collaborated with scholars based in India, Germany and United States. Frequent co-authors include R.P. Vivek-Ananth, Karthikeyan Mohanraj, Bagavathy Shanmugam Karthikeyan, S.R. Aparna, Ramesh Chand, Ajaya Kumar Sahoo, Sanjay Jain, Jürgen Jost, Janani Ravichandran and Olivier Martin. Their work appears in journals such as Scientific Reports, ACS Omega, The Science of The Total Environment, Chaos Solitons & Fractals and Molecular Diversity.
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.