Subhankar Mukherjee

949 total citations
53 papers, 598 citations indexed

About

Subhankar Mukherjee is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Subhankar Mukherjee has authored 53 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 12 papers in Biomedical Engineering and 10 papers in Molecular Biology. Recurrent topics in Subhankar Mukherjee's work include Electrochemical sensors and biosensors (9 papers), Advanced biosensing and bioanalysis techniques (9 papers) and Advanced Chemical Sensor Technologies (8 papers). Subhankar Mukherjee is often cited by papers focused on Electrochemical sensors and biosensors (9 papers), Advanced biosensing and bioanalysis techniques (9 papers) and Advanced Chemical Sensor Technologies (8 papers). Subhankar Mukherjee collaborates with scholars based in India, Australia and Russia. Subhankar Mukherjee's co-authors include Shanta Dutta, Sulagna Basu, Souvik Pal, Nabarun Bhattacharyya, Sharmi Naha, Pallab Dasgupta, Subrata Sarkar, Maryam Naseri, Yi Sun and Kirsty Sands and has published in prestigious journals such as PLoS ONE, Food Chemistry and Trends in Food Science & Technology.

In The Last Decade

Subhankar Mukherjee

46 papers receiving 578 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Subhankar Mukherjee India 13 151 142 140 132 96 53 598
Topu Raihan Bangladesh 12 26 0.2× 61 0.4× 155 1.1× 156 1.2× 25 0.3× 23 562
Eliane Gandolpho Tótoli Brazil 14 38 0.3× 23 0.2× 101 0.7× 100 0.8× 19 0.2× 17 645
Adilson José da Silva Brazil 18 10 0.1× 48 0.3× 256 1.8× 133 1.0× 137 1.4× 37 817
Geetika Sharma India 15 25 0.2× 58 0.4× 138 1.0× 10 0.1× 45 0.5× 58 501
Preethi Soysa Sri Lanka 15 16 0.1× 56 0.4× 130 0.9× 59 0.4× 21 0.2× 44 695
Muhammad Amin Athar Pakistan 13 23 0.2× 22 0.2× 121 0.9× 68 0.5× 10 0.1× 37 588
Inae Lee South Korea 11 63 0.4× 32 0.2× 162 1.2× 124 0.9× 14 0.1× 28 542
Ieda Maria Sapateiro Torres Brazil 14 18 0.1× 55 0.4× 109 0.8× 48 0.4× 41 0.4× 27 415
I Wayan Putu Sutirta Yasa Indonesia 11 21 0.1× 56 0.4× 155 1.1× 77 0.6× 26 0.3× 72 452
Xiaoyun Wu China 10 36 0.2× 12 0.1× 87 0.6× 25 0.2× 42 0.4× 17 307

Countries citing papers authored by Subhankar Mukherjee

Since Specialization
Citations

This map shows the geographic impact of Subhankar Mukherjee'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 Subhankar Mukherjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhankar Mukherjee more than expected).

Fields of papers citing papers by Subhankar Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Subhankar Mukherjee. 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 Subhankar Mukherjee. The network helps show where Subhankar Mukherjee may publish in the future.

Co-authorship network of co-authors of Subhankar Mukherjee

This figure shows the co-authorship network connecting the top 25 collaborators of Subhankar Mukherjee. A scholar is included among the top collaborators of Subhankar Mukherjee 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 Subhankar Mukherjee. Subhankar Mukherjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pal, Souvik, Subhankar Mukherjee, Subhendu Sarkar, et al.. (2025). A comprehensive overview of cyanogenic glycosides: Toxicology and innovative sensing approaches. Food Control. 177. 111431–111431. 2 indexed citations
2.
Sarkar, Dhruba Jyoti, et al.. (2025). Peroxidase mimic feroxyhyte (FeOOH) nanoparticles enabled highly specific colorimetric detection of arsenate in water and fish. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 339. 126299–126299. 1 indexed citations
3.
Pal, Souvik, et al.. (2025). Uncovering Taxiphyllin in bamboo shoots: An analytical perspective. Food Chemistry. 482. 144048–144048. 1 indexed citations
4.
Hussain, Shamima, et al.. (2024). Low-Temperature Base-Catalyzed Si-Capped ZnO Quantum Dots for pH-Switchable Dual Sensing of Amoxicillin and Cr3+. ACS Applied Nano Materials. 7(17). 20829–20840. 2 indexed citations
5.
Sarkar, Dhruba Jyoti, Vijay Kumar Aralappanavar, Bijay Kumar Behera, et al.. (2024). Aeromonas veronii specific aptamer and peroxidase mimic tyrosine-capped gold NanoZymes enable highly specific sensing of fish pathogenic bacteria. Biosensors and Bioelectronics X. 19. 100505–100505. 2 indexed citations
6.
Sarkar, P., et al.. (2024). Harnessing the potential of agriculture biomass: reuse, transformation and applications in energy and environment. Environmental Science and Pollution Research. 32(32). 19180–19203. 3 indexed citations
7.
8.
Gupta, Aditya Kumar, et al.. (2023). Bi-objective reliability based optimization: an application to investment analysis. Annals of Operations Research. 333(1). 47–78.
9.
Sarkar, Dhruba Jyoti, Saswata Goswami, Bijay Kumar Behera, et al.. (2023). An Amperometric Acetylcholinesterase Biosensor Based on Polyvinyl‐Alcohol‐Capped Silver Nanoparticles (AgNPs@PVA) for Detection of Organophosphate Pesticides. ChemistrySelect. 8(25). 4 indexed citations
10.
Mukherjee, Subhankar, Souvik Pal, Prasenjit Paria, et al.. (2021). On-spot biosensing device for organophosphate pesticide residue detection in fruits and vegetables. Current Research in Biotechnology. 3. 308–316. 5 indexed citations
11.
Kirsanov, Dmitry, Subhankar Mukherjee, Souvik Pal, et al.. (2021). A Pencil-Drawn Electronic Tongue for Environmental Applications. Sensors. 21(13). 4471–4471. 6 indexed citations
12.
Mukherjee, Subhankar, Souvik Pal, Arnab Halder, et al.. (2021). Sensory development for heavy metal detection: A review on translation from conventional analysis to field-portable sensor. Trends in Food Science & Technology. 109. 674–689. 103 indexed citations
13.
Mukherjee, Subhankar, et al.. (2021). Financial Inclusion and Household Welfare: An Entropy-Based Consumption Diversification Approach. European Journal of Development Research. 34(3). 1486–1521. 30 indexed citations
14.
15.
Mukherjee, Subhankar, et al.. (2021). Neonatal Sepsis: The Impact of Carbapenem-Resistant and Hypervirulent Klebsiella pneumoniae. Frontiers in Medicine. 8. 634349–634349. 48 indexed citations
16.
Mukherjee, Subhankar, Souvik Pal, Devdulal Ghosh, et al.. (2019). UIISScan 1.1: A Field portable high-throughput platform tool for biomedical and agricultural applications. Journal of Pharmaceutical and Biomedical Analysis. 174. 70–80. 6 indexed citations
17.
Pal, Souvik, Subhankar Mukherjee, & Nabarun Bhattacharyya. (2017). Microorganism and Agricultural Based Biosorbents Towards Removal of Cadmium from Waste-Water: An Overview. Recent Patents on Biotechnology. 11(3). 204–217. 12 indexed citations
18.
Mukherjee, Subhankar & Pallab Dasgupta. (2012). Computing Minimal Debugging Windows in Failure Traces of AMS Assertions. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 31(11). 1776–1781. 3 indexed citations
19.
Jana, Arun, Rajib Bandyopadhyay, Bipan Tudu, et al.. (2011). Classification of aromatic and non-aromatic rice using electronic nose and artificial neural network. 291–294. 10 indexed citations
20.
Mukherjee, Subhankar, et al.. (2009). A formal approach for specification-driven AMS behavioral model generation. Design, Automation, and Test in Europe. 1512–1517.

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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