Chandraday Prodhan

526 total citations
28 papers, 455 citations indexed

About

Chandraday Prodhan is a scholar working on Spectroscopy, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Chandraday Prodhan has authored 28 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Spectroscopy, 8 papers in Molecular Biology and 6 papers in Materials Chemistry. Recurrent topics in Chandraday Prodhan's work include Molecular Sensors and Ion Detection (18 papers), Luminescence and Fluorescent Materials (6 papers) and Analytical Chemistry and Sensors (5 papers). Chandraday Prodhan is often cited by papers focused on Molecular Sensors and Ion Detection (18 papers), Luminescence and Fluorescent Materials (6 papers) and Analytical Chemistry and Sensors (5 papers). Chandraday Prodhan collaborates with scholars based in India, France and Spain. Chandraday Prodhan's co-authors include Keya Chaudhuri, Mahammad Ali, Sanchita Goswami, Barnali Naskar, Abu Saleh Musha Islam, Chhanda Mukhopadhyay, Jhuma Ganguly, Dilip K. Maiti, Animesh Mondal and Biswadip Banerji and has published in prestigious journals such as Carbohydrate Polymers, Chemistry - A European Journal and RSC Advances.

In The Last Decade

Chandraday Prodhan

28 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chandraday Prodhan India 15 260 167 113 108 83 28 455
Saravanakumar Manickam India 15 291 1.1× 222 1.3× 103 0.9× 90 0.8× 87 1.0× 29 448
Kailasam Saravana Mani India 12 224 0.9× 175 1.0× 121 1.1× 147 1.4× 54 0.7× 30 461
G. Tamil Selvan India 9 212 0.8× 165 1.0× 86 0.8× 64 0.6× 81 1.0× 22 394
Satya Narayan Sahu India 13 323 1.2× 266 1.6× 110 1.0× 244 2.3× 94 1.1× 39 569
Sanjoy Kumar Sheet India 12 318 1.2× 282 1.7× 108 1.0× 71 0.7× 60 0.7× 16 485
Yachana Upadhyay India 15 289 1.1× 316 1.9× 201 1.8× 86 0.8× 65 0.8× 19 560
Jie Chai China 15 264 1.0× 254 1.5× 113 1.0× 70 0.6× 52 0.6× 31 534
Chunyan Wang China 12 271 1.0× 277 1.7× 153 1.4× 77 0.7× 49 0.6× 36 579
G. Prabakaran India 14 365 1.4× 208 1.2× 142 1.3× 44 0.4× 108 1.3× 24 465
Bhaskar Sen India 14 352 1.4× 344 2.1× 132 1.2× 60 0.6× 61 0.7× 28 558

Countries citing papers authored by Chandraday Prodhan

Since Specialization
Citations

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

Fields of papers citing papers by Chandraday Prodhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chandraday Prodhan

This figure shows the co-authorship network connecting the top 25 collaborators of Chandraday Prodhan. A scholar is included among the top collaborators of Chandraday Prodhan 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 Chandraday Prodhan. Chandraday Prodhan 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.
Ghosh, Arijit, Tanaya Roychowdhury, Rajesh Nandi, et al.. (2021). Inhibitory role of a smart nano-trifattyglyceride of Moringa oleifera root in epithelial ovarian cancer, through attenuation of FSHR - c-Myc axis. Journal of Traditional and Complementary Medicine. 11(6). 481–492. 7 indexed citations
2.
Aich, Krishnendu, Chandraday Prodhan, Keya Chaudhuri, et al.. (2019). Solvent‐Dependent Nanostructures Based on Active π‐Aggregation Induced Emission Enhancement of New Carbazole Derivatives of Triphenylacrylonitrile. Chemistry - A European Journal. 25(18). 4856–4863. 15 indexed citations
3.
Mondal, Animesh, Barnali Naskar, Sanchita Goswami, et al.. (2019). A quick accelerating microwave-assisted sustainable technique: permutated spiro-casing for imaging experiment. Molecular Diversity. 24(1). 93–106. 7 indexed citations
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Naskar, Barnali, Anamika Dhara, Dilip K. Maiti, et al.. (2019). Aggregation‐Induced Emission‐Based Sensing Platform for Selective Detection of Zn2+: Experimental and Theoretical Investigations. ChemPhysChem. 20(12). 1630–1639. 24 indexed citations
6.
Prodhan, Chandraday, et al.. (2019). Evaluation of Efficacy of Curcumin along with Lycopene and Piperine in the Management of Oral Submucous Fibrosis. Contemporary Clinical Dentistry. 10(3). 531–541. 9 indexed citations
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Banerji, Biswadip, et al.. (2018). Synthesis and DNA‐Binding Studies of A New Cyclic Dimeric Symmetrical Pseudo‐Turn Mimetic. ChemistrySelect. 3(7). 2103–2107. 1 indexed citations
10.
Katarkar, Atul, Chandraday Prodhan, Sanjit Mukherjee, Jay Gopal Ray, & Keya Chaudhuri. (2018). Role of matrix metalloproteinase-9 polymorphisms in basement membrane degradation and pathogenesis of oral submucous fibrosis. Meta Gene. 16. 255–263. 7 indexed citations
11.
Giri, Arindam, et al.. (2018). Synthesis and characterization of biopolymer based hybrid hydrogel nanocomposite and study of their electrochemical efficacy. International Journal of Biological Macromolecules. 123. 228–238. 12 indexed citations
12.
Islam, Abu Saleh Musha, et al.. (2018). Selective sensing of nitric oxide by a 9,10-phenanthroquinone–pyridoxal based fluorophore. Photochemical & Photobiological Sciences. 17(9). 1213–1221. 20 indexed citations
13.
Naskar, Barnali, Kinsuk Das, Dilip K. Maiti, et al.. (2018). A new fluorescence turn-on chemosensor for nanomolar detection of Al3+ constructed from a pyridine–pyrazole system. New Journal of Chemistry. 42(4). 2933–2941. 33 indexed citations
14.
Naskar, Barnali, Sanchita Goswami, Chandraday Prodhan, et al.. (2018). Pyrrolo[3,4-c]pyridine-Based Fluorescent Chemosensor for Fe3+/Fe2+ Sensitivity and Their Application in Living HepG2 Cells. ACS Omega. 3(12). 18646–18655. 21 indexed citations
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Naskar, Barnali, Anamika Dhara, Ritwik Modak, et al.. (2017). A Pyrene‐Pyrazole‐Based Rotamer Senses Hg 2+ on the Nanomolar Scale. ChemistrySelect. 2(8). 2512–2519. 14 indexed citations
17.
Prodhan, Chandraday, et al.. (2017). A benzimidazole-based chemodosimeter for the fluorometric detection of Zn and Cu via 1,5 proton shifts and C–N bond cleavage. Photochemical & Photobiological Sciences. 16(7). 1103–1116. 15 indexed citations
18.
Naskar, Barnali, Dilip K. Maiti, Antonio Bauzá, et al.. (2017). Synthetic Modulation of a Chemosensor Affords Target Metal Ion Switch from Zn 2+ to Al 3+. ChemistrySelect. 2(19). 5414–5420. 9 indexed citations
19.
Banerji, Biswadip, Moumita Chatterjee, Chandraday Prodhan, & Keya Chaudhuri. (2016). Tripeptide consisting of benzyl protected di-cysteine and phenylalanine forms spherical assembly and induces cytotoxicity in cancer cells via apoptosis. RSC Advances. 6(113). 112667–112676. 5 indexed citations
20.
Banerji, Biswadip, et al.. (2016). Neo-tanshinlactone D-ring modified novel analogues induce apoptosis in human breast cancer cell via DNA damage. Bioorganic & Medicinal Chemistry. 25(1). 202–212. 14 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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