Mrityunjay Singh
- Biomedical Engineering top 10%
- Molecular Biology
- Organic Chemistry top 10%
- Computational Theory and Mathematics top 5%
- Computational Mechanics top 5%
- Co-authors
- Patrick D. AndersonH.E.H. MeijerTae Gon KangShailendra AsthanaMitul SrivastavaLovika MittalAnita KumariRadhey M. Singh
- Topics
- Microfluidic and Capillary Electrophoresis Applications (11 papers)Microfluidic and Bio-sensing Technologies (7 papers)Computational Drug Discovery Methods (6 papers)
- Cited by
- Computational Theory and MathematicsFluid Flow and Transfer ProcessesBiomedical Engineering
- Partner nations
- IndiaNetherlandsSouth Korea
In The Last Decade
Mrityunjay Singh
45 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 116
- Biomedical Engineering 374
- Molecular Biology 262
- Organic Chemistry 191
- Computational Theory and Mathematics 184
- Computational Mechanics 161
Countries citing papers authored by Mrityunjay Singh
This map shows the geographic impact of Mrityunjay Singh'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 Mrityunjay Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mrityunjay Singh more than expected).
Fields of papers citing papers by Mrityunjay Singh
This network shows the impact of papers produced by Mrityunjay Singh. 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 Mrityunjay Singh. The network helps show where Mrityunjay Singh may publish in the future.
Co-authorship network of co-authors of Mrityunjay Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Mrityunjay Singh. A scholar is included among the top collaborators of Mrityunjay Singh 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 Mrityunjay Singh. Mrityunjay Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 13 | |
| 5 | 3 | |
| 6 | 159 | |
| 7 | 28 | |
| 8 | 2 | |
| 9 | 25 | |
| 10 | 35 | |
| 11 | 35 | |
| 12 | 2 | |
| 13 | 65 | |
| 14 | 61 | |
| 15 | 25 | |
| 16 | 60 | |
| 17 | Optimization of chaotic mixing in staggered herringbone micromixer | 1 |
| 18 | 12 | |
| 19 | 1 | |
| 20 | 2 |
About Mrityunjay Singh
Mrityunjay Singh is a scholar working on Geriatrics and Gerontology, Physiology and Computational Theory and Mathematics, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Microfluidic and Capillary Electrophoresis Applications (11 papers), Microfluidic and Bio-sensing Technologies (7 papers) and Computational Drug Discovery Methods (6 papers). The work is most often cited by research in Computational Theory and Mathematics (184 citations), Fluid Flow and Transfer Processes (54 citations) and Biomedical Engineering (374 citations). Mrityunjay Singh has collaborated with scholars based in India, Netherlands and South Korea. Frequent co-authors include Patrick D. Anderson, H.E.H. Meijer, Tae Gon Kang, Shailendra Asthana, Mitul Srivastava, Lovika Mittal, Anita Kumari, Radhey M. Singh, Atish Chandra and Il Keun Kwon. Their work appears in journals such as Physical Review Letters, Progress in Polymer Science and Journal of Bacteriology.
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.