Chiranjit Maiti

572 total citations
22 papers, 452 citations indexed

About

Chiranjit Maiti is a scholar working on Biomedical Engineering, Biomaterials and Organic Chemistry. According to data from OpenAlex, Chiranjit Maiti has authored 22 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 8 papers in Biomaterials and 7 papers in Organic Chemistry. Recurrent topics in Chiranjit Maiti's work include Nanoparticle-Based Drug Delivery (6 papers), Advanced Polymer Synthesis and Characterization (5 papers) and RNA Interference and Gene Delivery (4 papers). Chiranjit Maiti is often cited by papers focused on Nanoparticle-Based Drug Delivery (6 papers), Advanced Polymer Synthesis and Characterization (5 papers) and RNA Interference and Gene Delivery (4 papers). Chiranjit Maiti collaborates with scholars based in India, United States and South Korea. Chiranjit Maiti's co-authors include Dibakar Dhara, Mahitosh Mandal, Sheetal Parida, Rakesh Banerjee, Saikat Maiti, Jinhwan Yoon, Sujan Dutta, Nilmoni Sarkar, Y. Rajesh and Ipsita Pal and has published in prestigious journals such as Advanced Functional Materials, The Journal of Physical Chemistry B and Langmuir.

In The Last Decade

Chiranjit Maiti

20 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chiranjit Maiti India 12 180 174 127 104 104 22 452
Samuel Pearson Germany 15 211 1.2× 205 1.2× 244 1.9× 227 2.2× 143 1.4× 35 725
Nabila Mehwish China 14 200 1.1× 372 2.1× 225 1.8× 239 2.3× 90 0.9× 24 678
René Schubel Germany 9 113 0.6× 128 0.7× 149 1.2× 140 1.3× 46 0.4× 10 478
Tânia Ribeiro Portugal 15 198 1.1× 108 0.6× 83 0.7× 274 2.6× 65 0.6× 21 540
Eeseul Shin South Korea 10 233 1.3× 142 0.8× 155 1.2× 291 2.8× 151 1.5× 12 661
Steffen Kurzhals Austria 11 107 0.6× 168 1.0× 146 1.1× 95 0.9× 69 0.7× 23 388
Wangchuan Xiao China 11 110 0.6× 133 0.8× 96 0.8× 170 1.6× 55 0.5× 36 420
Song Bao China 7 267 1.5× 160 0.9× 84 0.7× 144 1.4× 46 0.4× 7 453
Marta Álvarez Germany 14 231 1.3× 88 0.5× 103 0.8× 178 1.7× 103 1.0× 18 532

Countries citing papers authored by Chiranjit Maiti

Since Specialization
Citations

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

Fields of papers citing papers by Chiranjit Maiti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiranjit Maiti

This figure shows the co-authorship network connecting the top 25 collaborators of Chiranjit Maiti. A scholar is included among the top collaborators of Chiranjit Maiti 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 Chiranjit Maiti. Chiranjit Maiti 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.
Li, Xiangpeng, Jihua Gou, Anand P. Santhanam, Chiranjit Maiti, & Olusegun J. Ilegbusi. (2025). Tissue mimicking hydrogel foam materials with mechanical and radiological properties equivalent to human lung. Scientific Reports. 15(1). 7471–7471. 1 indexed citations
2.
Varela, Christopher, et al.. (2025). Deep Artificial Neural Network Modeling of the Ablation Performance of Ceramic Matrix Composites in the Hydrogen Torch Test. Journal of Composites Science. 9(5). 239–239.
3.
Singh, Shakti, Chandra Bhan, Manoj Kumar Gupta, et al.. (2024). Self-powered fluoride detection and removal system using waste material utilization and self-healing capabilities. Materials Today Communications. 41. 111061–111061. 3 indexed citations
4.
Gou, Jihua, et al.. (2024). Machine Learning Approaches for Predicting the Ablation Performance of Ceramic Matrix Composites. Journal of Composites Science. 8(3). 96–96. 9 indexed citations
5.
Wong, Siu Hong Dexter, et al.. (2023). Smart Skin‐Adhesive Patches: From Design to Biomedical Applications. Advanced Functional Materials. 33(14). 54 indexed citations
6.
Singh, Shakti, Manoj Kumar Gupta, Gulzhian I. Dzhardimalieva, et al.. (2022). Gigantic stimulation in response by solar irradiation in self-healable and self-powered LPG sensor based on triboelectric nanogenerator: Experimental and DFT computational study. Sensors and Actuators B Chemical. 359. 131573–131573. 28 indexed citations
7.
8.
Maiti, Chiranjit, et al.. (2021). Recent Advances in Design Strategies for Tough and Stretchable Hydrogels. ChemPlusChem. 86(4). 601–611. 24 indexed citations
9.
Maiti, Chiranjit, et al.. (2018). Redox-Responsive Core-Cross-Linked Block Copolymer Micelles for Overcoming Multidrug Resistance in Cancer Cells. ACS Applied Materials & Interfaces. 10(6). 5318–5330. 65 indexed citations
10.
Pyne, Arghajit, Jagannath Kuchlyan, Chiranjit Maiti, Dibakar Dhara, & Nilmoni Sarkar. (2017). Cholesterol Based Surface Active Ionic Liquid That Can Form Microemulsions and Spontaneous Vesicles. Langmuir. 33(23). 5891–5899. 31 indexed citations
11.
Maiti, Chiranjit & Dibakar Dhara. (2017). Energy-Transfer Phenomena in Thermoresponsive and pH- Switchable Fluorescent Diblock Copolymer Vesicles. Langmuir. 33(43). 12130–12139. 11 indexed citations
12.
Parida, Sheetal, Chiranjit Maiti, Y. Rajesh, et al.. (2016). Gold nanorod embedded reduction responsive block copolymer micelle-triggered drug delivery combined with photothermal ablation for targeted cancer therapy. Biochimica et Biophysica Acta (BBA) - General Subjects. 1861(1). 3039–3052. 58 indexed citations
13.
14.
Dutta, Sujan, Sheetal Parida, Chiranjit Maiti, et al.. (2016). Polymer grafted magnetic nanoparticles for delivery of anticancer drug at lower pH and elevated temperature. Journal of Colloid and Interface Science. 467. 70–80. 48 indexed citations
15.
Banerjee, Rakesh, Chiranjit Maiti, Sujan Dutta, & Dibakar Dhara. (2015). Size- and distance-dependent excitation energy transfer in fluorophore conjugated block copolymer – gold nanoparticle systems. Polymer. 59. 243–251. 5 indexed citations
16.
Banerjee, Rakesh, Sheetal Parida, Chiranjit Maiti, Mahitosh Mandal, & Dibakar Dhara. (2015). pH-degradable and thermoresponsive water-soluble core cross-linked polymeric nanoparticles as potential drug delivery vehicle for doxorubicin. RSC Advances. 5(102). 83565–83575. 17 indexed citations
17.
Maiti, Chiranjit, et al.. (2014). Interaction between calf thymus DNA and cationic bottle-brush copolymers: equilibrium and stopped-flow kinetic studies. Physical Chemistry Chemical Physics. 17(4). 2366–2377. 17 indexed citations
18.
Maiti, Chiranjit, et al.. (2014). Thermoregulated Formation and Disintegration of Cationic Block Copolymer Vesicles: Fluorescence Resonance Energy Transfer Study. The Journal of Physical Chemistry B. 118(8). 2274–2283. 19 indexed citations
19.
20.
Maiti, Chiranjit, et al.. (1991). ChemInform Abstract: Ferrite Films and Film Devices. ChemInform. 22(51). 1 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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