Mohan Kumar Dey

546 citations
12 papers · 326 · 1 hit paper · h-index 6

Impact in

    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation
    • Biosensors and Analytical Detection
    • Bone Tissue Engineering Materials
    • 3D Printing in Biomedical Research

Papers in

Mohan Kumar Dey

10 papers receiving 315 citations

Mohan Kumar Dey's Hit Papers

Biomarkers in Cancer Detection, Diagnosis, and Prognosis 2023 · 189 citations
1890+1+2Years since publication50100150

Peers

Mohan Kumar Dey
Comparison fields: 5 of 88
  • Cancer Research 50
  • Biomedical Engineering 115
  • Molecular Biology 111
  • Oncology 38
  • Health Informatics 2
Replace Koji Yamamoto with:
Koji Yamamoto Japan
Nian‐Nian Zhong China
Honghao Yu China
Jung-Jun Lee South Korea
Xiaofeng Huang China
Haoyan Li China
Xueqiang Guo China
Richard C. Schugart United States
Jáchym Rosendorf Czechia
Mohan Kumar Dey relative to Koji Yamamoto Japan Koji Yamamoto's profile →
Citations per field
00.5×10×20×30×42.3×
Koji Yamamoto · 1×
Citations per year

Countries citing papers authored by Mohan Kumar Dey

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mohan Kumar Dey Line = papers co-authored together Mohan Kumar Dey links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Biomarkers in Cancer Detection, Diagnosis, and Prognosis
Hit paper breakdown →
2023189
2 202352
3 202346
4 201816
5 201710
6 20255
7 20202
8 20252
9 20172
10 20241
11 20181
12 20200

About Mohan Kumar Dey

Mohan Kumar Dey is a scholar working on Computational Mechanics, Mechanical Engineering, Biomedical Engineering, Molecular Biology and Automotive Engineering, having authored 12 papers that have together received 326 indexed citations. Recurring topics across this work include Heat Transfer and Optimization (3 papers), Lattice Boltzmann Simulation Studies (2 papers), 3D Printing in Biomedical Research (2 papers), Additive Manufacturing and 3D Printing Technologies (2 papers), Gold and Silver Nanoparticles Synthesis and Applications (1 paper), Ferroptosis and cancer prognosis (1 paper), Cancer Genomics and Diagnostics (1 paper) and Heat Transfer Mechanisms (1 paper). The work is most often cited by research in Cancer Research (50 citations), Biomedical Engineering (115 citations), Molecular Biology (111 citations), Oncology (38 citations) and Health Informatics (2 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, Md Abu Taher, Bhuvnesh Bharti, Alisha Prasad and Jin Gyun Lee. Their work appears in journals such as Sensors, Analytical Methods, Analytical and Bioanalytical Chemistry, International Journal of Fluid Machinery and Systems and Journal of Thermal Science.

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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