Mohan Kumar Dey
Impact in
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- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
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- Bone Tissue Engineering Materials
- Biosensors and Analytical Detection
- 3D Printing in Biomedical Research
Papers in
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- Lattice Boltzmann Simulation Studies 1
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- 3D Printing in Biomedical Research 2
- Co-authors
- Ram V. Devireddy (6 shared papers)Manas Ranjan Gartia (3 shared papers)Nobuyuki Oshima (1 shared paper)Young Kyu Park (1 shared paper)Jin Gyun Lee (1 shared paper)Alisha Prasad (1 shared paper)Bhuvnesh Bharti (1 shared paper)Md Abu Taher (1 shared paper)
- Journals
- Analytical and Bioanalytical Chemistry (1 paper)Sensors (1 paper)Analytical Methods (1 paper)Bioengineering (1 paper)Biomimetics (1 paper)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Mohan Kumar Dey
10 papers receiving 260 citations
Mohan Kumar Dey's Hit Papers
Peers
Comparison fields: 5 of 83
- Cancer Research 48
- Biomedical Engineering 102
- Health Informatics 3
- Molecular Biology 104
- Oncology 36
Countries citing papers authored by Mohan Kumar Dey
This map shows the geographic impact of Mohan Kumar Dey'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 Mohan Kumar Dey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohan Kumar Dey more than expected).
Fields of papers citing papers by Mohan Kumar Dey
This network shows the impact of papers produced by Mohan Kumar Dey. 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 Mohan Kumar Dey. The network helps show where Mohan Kumar Dey may publish in the future.
Co-authors
The 8 scholars most cited alongside Mohan Kumar Dey, 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 | Biomarkers in Cancer Detection, Diagnosis, and Prognosis Hit paper breakdown → | 2023 | 152 |
| 2 | 2023 | 44 | |
| 3 | 2023 | 38 | |
| 4 | 2018 | 16 | |
| 5 | 2017 | 10 | |
| 6 | 2025 | 3 | |
| 7 | 2020 | 2 | |
| 8 | 2025 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2018 | 1 | |
| 11 | 2017 | 1 |
About Mohan Kumar Dey
Mohan Kumar Dey is a scholar working on Computational Mechanics, Biomedical Engineering, Molecular Biology, Automotive Engineering and Ocean Engineering, having authored 11 papers that have together received 269 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (2 papers), Additive Manufacturing and 3D Printing Technologies (2 papers), Heat Transfer and Optimization (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Particle Dynamics in Fluid Flows (1 paper), Ship Hydrodynamics and Maneuverability (1 paper), Hydraulic flow and structures (1 paper) and Lattice Boltzmann Simulation Studies (1 paper). The work is most often cited by research in Cancer Research (48 citations), Biomedical Engineering (102 citations), Health Informatics (3 citations), Molecular Biology (104 citations) and Oncology (36 citations). Mohan Kumar Dey has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Ram V. Devireddy, Manas Ranjan Gartia, Nobuyuki Oshima, Young Kyu Park, Jin Gyun Lee, Alisha Prasad, Bhuvnesh Bharti and Md Abu Taher. Their work appears in journals such as Analytical and Bioanalytical Chemistry, Sensors, Analytical Methods, Bioengineering and Biomimetics.
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.