Madhuchanda Banerjee

921 total citations
16 papers, 738 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 16 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Health, Toxicology and Mutagenesis, 4 papers in Materials Chemistry and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Madhuchanda Banerjee's work include Air Quality and Health Impacts (4 papers), Photoreceptor and optogenetics research (3 papers) and Nanoparticles: synthesis and applications (3 papers). Madhuchanda Banerjee is often cited by papers focused on Air Quality and Health Impacts (4 papers), Photoreceptor and optogenetics research (3 papers) and Nanoparticles: synthesis and applications (3 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, Anumita Paul, Sadhucharan Mallick, Manas Ranjan Ray, Shabana Siddique, Twisha Lahiri, 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 716 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Madhuchanda Banerjee India 10 337 195 166 104 98 16 738
Bo Cai China 21 281 0.8× 620 3.2× 191 1.2× 176 1.7× 87 0.9× 49 1.3k
Jinkyu Roh South Korea 14 590 1.8× 250 1.3× 118 0.7× 72 0.7× 165 1.7× 25 884
Mila Tejamaya Indonesia 8 663 2.0× 235 1.2× 122 0.7× 53 0.5× 147 1.5× 32 872
Eunjoo Bae South Korea 11 845 2.5× 236 1.2× 317 1.9× 42 0.4× 124 1.3× 18 1.1k
Anjali Kumari Garg India 20 700 2.1× 159 0.8× 193 1.2× 143 1.4× 25 0.3× 34 1.2k
Sudipto Pal Italy 16 499 1.5× 201 1.0× 41 0.2× 99 1.0× 54 0.6× 46 1.1k
Saira Shervani United States 4 735 2.2× 334 1.7× 91 0.5× 88 0.8× 81 0.8× 5 913
Mohammad Fazlur Rahman Pakistan 6 413 1.2× 175 0.9× 152 0.9× 28 0.3× 59 0.6× 19 729
Kyle Hazelwood United States 4 265 0.8× 128 0.7× 108 0.7× 54 0.5× 66 0.7× 9 635
Gajendra Kumar Inwati India 18 415 1.2× 269 1.4× 32 0.2× 71 0.7× 21 0.2× 37 890

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

16 of 16 papers shown
1.
Verma, Shiv Prakash, et al.. (2024). Humidity‐Induced Protein‐Based Artificial Synaptic Devices for Neuroprosthetic Applications. Small. 20(24). e2307439–e2307439. 7 indexed citations
2.
Pradhan, Asima, et al.. (2024). Bioinspired Flexible and Low-Voltage Organic Synaptic Transistors for UV Light-Driven Vision Systems. ACS Applied Bio Materials. 7(10). 6405–6413. 1 indexed citations
3.
4.
Mandal, Suman, Madhuchanda Banerjee, Ajoy Mandal, et al.. (2018). Organic Field-Effect Transistor-Based Ultrafast, Flexible, Physiological-Temperature Sensors with Hexagonal Barium Titanate Nanocrystals in Amorphous Matrix as Sensing Material. ACS Applied Materials & Interfaces. 11(4). 4193–4202. 35 indexed citations
5.
Kalita, Mohan Chandra, et al.. (2016). REACTIVE OXYGEN SPECIES GENERATION IN THE ANTIBACTERIAL ACTIVITY OF LITSEA SALICIFOLIA LEAF EXTRACT. International Journal of Pharmacy and Pharmaceutical Sciences. 8(8). 189–193. 1 indexed citations
6.
Mondal, Nandan K., Sanghita Roychoudhury, Sayali Mukherjee, et al.. (2016). Increased risk of cardiovascular disease in premenopausal female ragpickers of Eastern India: involvement of inflammation, oxidative stress, and platelet hyperactivity. Molecular and Cellular Biochemistry. 419(1-2). 193–203. 10 indexed citations
7.
Mondal, Nandan K., Shabana Siddique, Madhuchanda Banerjee, et al.. (2016). Alteration in Leukocyte Subsets and Expressions of FcγR and Complement Receptors among Female Ragpickers in Eastern India. Safety and Health at Work. 8(2). 198–205. 3 indexed citations
8.
Mukherjee, Sayali, Shabana Siddique, Madhuchanda Banerjee, et al.. (2015). Adverse reproductive health outcomes in pre-menopausal Indian women chronically exposed to biomass smoke. Journal of Public Health. 23(6). 363–372. 9 indexed citations
9.
Mukherjee, Sayali, Sanghita Roychoudhury, Shabana Siddique, et al.. (2014). Respiratory symptoms, lung function decrement and chronic obstructive pulmonary disease in pre-menopausal Indian women exposed to biomass smoke. Inhalation Toxicology. 26(14). 866–872. 39 indexed citations
10.
Banerjee, Madhuchanda, et al.. (2014). Production of biodiesel from sunflower oil using highly catalytic bimetallic gold–silver core–shell nanoparticle. Energy. 69. 695–699. 44 indexed citations
11.
Mallick, Sadhucharan, Shilpa Sharma, Madhuchanda Banerjee, et al.. (2012). Iodine-Stabilized Cu Nanoparticle Chitosan Composite for Antibacterial Applications. ACS Applied Materials & Interfaces. 4(3). 1313–1323. 122 indexed citations
12.
Banerjee, Madhuchanda, Shilpa Sharma, Arun Chattopadhyay, & Siddhartha Sankar Ghosh. (2011). Enhanced antibacterial activity of bimetallic gold-silver core–shell nanoparticles at low silver concentration. Nanoscale. 3(12). 5120–5120. 172 indexed citations
13.
Siddique, Shabana, Madhuchanda Banerjee, Manas Ranjan Ray, & Twisha Lahiri. (2010). Attention-deficit hyperactivity disorder in children chronically exposed to high level of vehicular pollution. European Journal of Pediatrics. 170(7). 923–929. 107 indexed citations
14.
Siddique, Shabana, Madhuchanda Banerjee, Manas Ranjan Ray, & Twisha Lahiri. (2010). Air Pollution and its Impact on Lung Function of Children in Delhi, the Capital City of India. Water Air & Soil Pollution. 212(1-4). 89–100. 30 indexed citations
15.
Banerjee, Madhuchanda, Sadhucharan Mallick, Anumita Paul, Arun Chattopadhyay, & Siddhartha Sankar Ghosh. (2010). Heightened Reactive Oxygen Species Generation in the Antimicrobial Activity of a Three Component Iodinated Chitosan−Silver Nanoparticle Composite. Langmuir. 26(8). 5901–5908. 145 indexed citations
16.
Ray, Manas Ranjan, Sanghita Roychoudhury, Sayali Mukherjee, et al.. (2009). Airway Inflammation and Upregulation of β2 Mac‐1 Integrin Expression on Circulating Leukocytes of Female Ragpickers in India. Journal of Occupational Health. 51(3). 232–238. 13 indexed citations

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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