Manish Bhaiyya
- Electrochemistry top 5%
- Bioengineering top 10%
- Analytical Chemistry and Sensors 4
- Biomedical Engineering top 10%
- Biosensors and Analytical Detection 22
- Advanced Sensor and Energy Harvesting Materials 6
- Microfluidic and Capillary Electrophoresis Applications 4
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- Advanced biosensing and bioanalysis techniques 22
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- Electrochemical sensors and biosensors 11
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- SARS-CoV-2 detection and testing 5
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- Innovative Energy Harvesting Technologies 5
- Co-authors
- Sanket GoelPrasant Kumar PattnaikPrakash RewatkarHossam HaickMadhusudan B. KulkarniDebdatta PanigrahiSuresh BalpandeMary Salve
- Journals
- Scientific Reports (1 paper)The Journal of Physical Chemistry C (1 paper)Trends in Food Science & Technology (2 papers)
- Partner nations
- IndiaIsraelUnited States
In The Last Decade
Manish Bhaiyya
37 papers receiving 640 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Electrochemistry 96
- Bioengineering 57
- Biomedical Engineering 442
- Molecular Biology 346
- Electrical and Electronic Engineering 205
Countries citing papers authored by Manish Bhaiyya
This map shows the geographic impact of Manish Bhaiyya'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 Manish Bhaiyya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manish Bhaiyya more than expected).
Fields of papers citing papers by Manish Bhaiyya
This network shows the impact of papers produced by Manish Bhaiyya. 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 Manish Bhaiyya. The network helps show where Manish Bhaiyya may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Manish Bhaiyya, 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 | 2025 | 1 | |
| 2 | 2025 | 5 | |
| 3 | 2025 | 10 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 13 | |
| 6 | 2025 | 7 | |
| 7 | 2025 | 0 | |
| 8 | Deep Learning-Enhanced Portable Chemiluminescence Biosensor: 3D-Printed, Smartphone-Integrated Platform for Glucose Detectionbreakdown → | 2025 | 19 |
| 9 | 2025 | 0 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 13 | |
| 12 | 2024 | 14 | |
| 13 | 2024 | 14 | |
| 14 | 2023 | 14 | |
| 15 | 2023 | 22 | |
| 16 | 2023 | 29 | |
| 17 | 2022 | 11 | |
| 18 | 2022 | 10 | |
| 19 | 2021 | 60 | |
| 20 | 2021 | 38 |
About Manish Bhaiyya
Manish Bhaiyya is a scholar working on Biomedical Engineering, Bioengineering and Electrochemistry, having authored 41 papers that have together received 673 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (22 papers), Biosensors and Analytical Detection (22 papers), Electrochemical sensors and biosensors (11 papers), Advanced Sensor and Energy Harvesting Materials (6 papers), SARS-CoV-2 detection and testing (5 papers), Innovative Energy Harvesting Technologies (5 papers), Analytical Chemistry and Sensors (4 papers) and Microfluidic and Capillary Electrophoresis Applications (4 papers). The work is most often cited by research in Electrochemistry (96 citations), Bioengineering (57 citations) and Biomedical Engineering (442 citations). Manish Bhaiyya has collaborated with scholars based in India, Israel and United States. Frequent co-authors include Sanket Goel, Prasant Kumar Pattnaik, Prasant Kumar Pattnaik, Prakash Rewatkar, Hossam Haick, Madhusudan B. Kulkarni, Debdatta Panigrahi, Suresh Balpande, Mary Salve and Satish Kumar Dubey. Their work appears in journals such as Scientific Reports, The Journal of Physical Chemistry C and Trends in Food Science & Technology.
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.