Subhankar Mukherjee

79 total papers · 929 total citations
53 papers, 592 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 592 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 Advanced biosensing and bioanalysis techniques (9 papers), Electrochemical sensors and biosensors (9 papers) and Advanced Chemical Sensor Technologies (8 papers). Subhankar Mukherjee is often cited by papers focused on Advanced biosensing and bioanalysis techniques (9 papers), Electrochemical sensors and biosensors (9 papers) and Advanced Chemical Sensor Technologies (8 papers). Subhankar Mukherjee collaborates with scholars based in India, Russia and Australia. Subhankar Mukherjee's co-authors include Shanta Dutta, Sulagna Basu, Souvik Pal, Nabarun Bhattacharyya, Sharmi Naha, Pallab Dasgupta, Subrata Sarkar, Maryam Naseri, Mohsen Mohammadniaei and Yi Sun 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 574 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Subhankar Mukherjee	148	139	139	131	96	53	592
Rajnikant Sharma	264 1.8×	180 1.3×	59 0.4×	17 0.1×	37 0.4×	33	503
Topu Raihan	24 0.2×	151 1.1×	61 0.4×	154 1.2×	25 0.3×	23	552
Tadayuki Tsukatani	17 0.1×	223 1.6×	93 0.7×	119 0.9×	38 0.4×	35	591
Dana Stan	35 0.2×	279 2.0×	93 0.7×	198 1.5×	64 0.7×	27	645
Wajid Hussain	17 0.1×	208 1.5×	102 0.7×	135 1.0×	43 0.4×	59	687
Hee Joo Lee	94 0.6×	134 1.0×	33 0.2×	71 0.5×	24 0.3×	49	681
Eliane Gandolpho Tótoli	38 0.3×	98 0.7×	23 0.2×	95 0.7×	19 0.2×	17	636
Geetika Sharma	25 0.2×	138 1.0×	57 0.4×	10 0.1×	45 0.5×	57	500
Preethi Soysa	16 0.1×	129 0.9×	56 0.4×	57 0.4×	21 0.2×	44	691
Bingjun Han	105 0.7×	127 0.9×	73 0.5×	82 0.6×	44 0.5×	52	688

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

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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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