Madhuchanda Banerjee

20 total papers · 909 total citations
15 papers, 730 citations indexed

About

Madhuchanda Banerjee is a scholar working on Health, Toxicology and Mutagenesis, Materials Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Madhuchanda Banerjee has authored 15 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Health, Toxicology and Mutagenesis, 3 papers in Materials Chemistry and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Madhuchanda Banerjee's work include Air Quality and Health Impacts (4 papers), Nanoparticles: synthesis and applications (3 papers) and Advanced Memory and Neural Computing (2 papers). Madhuchanda Banerjee is often cited by papers focused on Air Quality and Health Impacts (4 papers), Nanoparticles: synthesis and applications (3 papers) and Advanced Memory and Neural Computing (2 papers). Madhuchanda Banerjee collaborates with scholars based in India, Canada and United States. Madhuchanda Banerjee's co-authors include Arun Chattopadhyay, Siddhartha Sankar Ghosh, Shilpa Sharma, Sadhucharan Mallick, Anumita Paul, Twisha Lahiri, Manas Ranjan Ray, Shabana Siddique, Jayanta Talukdar and Mohan Chandra Kalita and has published in prestigious journals such as Langmuir, ACS Applied Materials & Interfaces and Small.

In The Last Decade

Madhuchanda Banerjee

14 papers receiving 708 citations

Author Peers

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

Author						Papers	Cites
Madhuchanda Banerjee	335	192	164	104	97	15	730
Jinkyu Roh	589 1.8×	250 1.3×	118 0.7×	71 0.7×	165 1.7×	25	883
Mila Tejamaya	658 2.0×	235 1.2×	122 0.7×	52 0.5×	146 1.5×	32	863
Naser Ghasemian	389 1.2×	96 0.5×	57 0.3×	129 1.2×	33 0.3×	27	826
Hideki Murayama	467 1.4×	173 0.9×	110 0.7×	110 1.1×	44 0.5×	14	699
Huihui You	179 0.5×	114 0.6×	212 1.3×	36 0.3×	24 0.2×	31	863
Shi Xu	220 0.7×	155 0.8×	88 0.5×	155 1.5×	41 0.4×	15	632
Mohammad Fazlur Rahman	411 1.2×	173 0.9×	153 0.9×	28 0.3×	59 0.6×	18	726
Chih-ping Tso	250 0.7×	344 1.8×	90 0.5×	144 1.4×	101 1.0×	15	692
Raúl Trbojevich	204 0.6×	100 0.5×	195 1.2×	51 0.5×	124 1.3×	18	662
Kyle Hazelwood	265 0.8×	129 0.7×	108 0.7×	54 0.5×	66 0.7×	9	636

Countries citing papers authored by Madhuchanda Banerjee

Since Specialization

Citations

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

Fields of papers citing papers by Madhuchanda Banerjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madhuchanda Banerjee

This figure shows the co-authorship network connecting the top 25 collaborators of Madhuchanda Banerjee. A scholar is included among the top collaborators of Madhuchanda Banerjee 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 Madhuchanda Banerjee. Madhuchanda Banerjee 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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