Ritwik Kumar Layek
Impact in
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- Computational Drug Discovery Methods
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- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
- Microbial Metabolic Engineering and Bioproduction
- Gene expression and cancer classification
- Receptor Mechanisms and Signaling
Papers in
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- Gene Regulatory Network Analysis 15
- Microbial Metabolic Engineering and Bioproduction 6
- Bioinformatics and Genomic Networks 6
- Genetics 6
- Evolution and Genetic Dynamics 4
- Co-authors
- Aniruddha Datta (11 shared papers)Edward R. Dougherty (5 shared papers)Michael Bittner (1 shared paper)Sourav Kumar Sasmal (2 shared papers)S.P. Bhattacharyya (3 shared papers)Ranadip Pal (2 shared papers)Dibakar Ghosh (1 shared paper)Hazem Nounou (2 shared papers)
- Journals
- Biosystems (2 papers)Bioinformatics (2 papers)Molecular BioSystems (2 papers)Physical review. E (2 papers)BMC Genomics (1 paper)
- Partner nations
- IndiaUnited StatesJapan
In The Last Decade
Ritwik Kumar Layek
27 papers receiving 330 citations
Peers
Comparison fields: 5 of 49
- Computational Theory and Mathematics 81
- Molecular Biology 245
- Biophysics 13
- Hardware and Architecture 14
- Modeling and Simulation 9
Countries citing papers authored by Ritwik Kumar Layek
This map shows the geographic impact of Ritwik Kumar Layek'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 Ritwik Kumar Layek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ritwik Kumar Layek more than expected).
Fields of papers citing papers by Ritwik Kumar Layek
This network shows the impact of papers produced by Ritwik Kumar Layek. 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 Ritwik Kumar Layek. The network helps show where Ritwik Kumar Layek may publish in the future.
Co-authors
The 21 scholars most cited alongside Ritwik Kumar Layek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 82 | |
| 2 | 2010 | 64 | |
| 3 | 2012 | 56 | |
| 4 | 2019 | 19 | |
| 5 | 2012 | 19 | |
| 6 | 2012 | 17 | |
| 7 | 2009 | 13 | |
| 8 | 2019 | 10 | |
| 9 | 2019 | 7 | |
| 10 | 2015 | 7 | |
| 11 | 2017 | 7 | |
| 12 | 2014 | 6 | |
| 13 | 2018 | 4 | |
| 14 | 2011 | 4 | |
| 15 | 2016 | 3 | |
| 16 | 2016 | 3 | |
| 17 | 2017 | 3 | |
| 18 | 2010 | 3 | |
| 19 | 2020 | 2 | |
| 20 | 2018 | 2 |
About Ritwik Kumar Layek
Ritwik Kumar Layek is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Condensed Matter Physics and Sociology and Political Science, having authored 28 papers that have together received 340 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (15 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Bioinformatics and Genomic Networks (6 papers), Molecular Communication and Nanonetworks (5 papers), Evolution and Genetic Dynamics (4 papers), Computational Drug Discovery Methods (3 papers), Micro and Nano Robotics (3 papers) and Evolutionary Game Theory and Cooperation (3 papers). The work is most often cited by research in Computational Theory and Mathematics (81 citations), Molecular Biology (245 citations), Biophysics (13 citations), Hardware and Architecture (14 citations) and Modeling and Simulation (9 citations). Ritwik Kumar Layek has collaborated with scholars based in India, United States and Japan. Frequent co-authors include Aniruddha Datta, Edward R. Dougherty, Michael Bittner, Sourav Kumar Sasmal, S.P. Bhattacharyya, Ranadip Pal, Dibakar Ghosh, Hazem Nounou, Mohamed Nounou and Jayanta Mukherjee. Their work appears in journals such as Biosystems, Bioinformatics, Molecular BioSystems, Physical review. E and BMC Genomics.
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.