Prabhpreet Singh

4.3k total citations
151 papers, 3.8k citations indexed

About

Prabhpreet Singh is a scholar working on Spectroscopy, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Prabhpreet Singh has authored 151 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Spectroscopy, 86 papers in Materials Chemistry and 41 papers in Molecular Biology. Recurrent topics in Prabhpreet Singh's work include Molecular Sensors and Ion Detection (86 papers), Luminescence and Fluorescent Materials (72 papers) and Advanced biosensing and bioanalysis techniques (21 papers). Prabhpreet Singh is often cited by papers focused on Molecular Sensors and Ion Detection (86 papers), Luminescence and Fluorescent Materials (72 papers) and Advanced biosensing and bioanalysis techniques (21 papers). Prabhpreet Singh collaborates with scholars based in India, Russia and Italy. Prabhpreet Singh's co-authors include Subodh Kumar, Gaurav Bhargava, Alberto Bianco, Maurizio Prato, Harminder Singh, Silvia Giordani, Stéphane Campidelli, Davide Bonifazi, Vijay Luxami and Kapil Kumar and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Society Reviews and Angewandte Chemie International Edition.

In The Last Decade

Prabhpreet Singh

145 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prabhpreet Singh India 34 2.4k 2.1k 937 654 512 151 3.8k
Chusen Huang China 38 2.0k 0.8× 1.4k 0.7× 1.9k 2.0× 347 0.5× 876 1.7× 90 4.3k
Margarita Parra Spain 28 2.0k 0.8× 2.0k 1.0× 589 0.6× 924 1.4× 370 0.7× 126 3.8k
Nilanjan Dey India 29 1.5k 0.6× 1.6k 0.8× 638 0.7× 423 0.6× 264 0.5× 138 2.4k
Gandhi Sivaraman India 46 2.9k 1.2× 3.6k 1.8× 1.7k 1.8× 413 0.6× 787 1.5× 89 5.6k
Aijun Tong China 36 2.5k 1.0× 2.7k 1.3× 1.8k 1.9× 656 1.0× 712 1.4× 86 4.9k
Jennifer R. Hiscock United Kingdom 29 1.2k 0.5× 2.0k 1.0× 815 0.9× 994 1.5× 130 0.3× 90 3.2k
Nagaiyan Sekar India 42 3.6k 1.5× 1.2k 0.6× 523 0.6× 2.7k 4.1× 816 1.6× 345 6.9k
Yi Chen China 31 1.3k 0.5× 931 0.5× 802 0.9× 561 0.9× 272 0.5× 144 3.1k
Huipeng Zhou China 31 1.7k 0.7× 659 0.3× 625 0.7× 347 0.5× 430 0.8× 73 2.2k
Renyong Liu China 25 1.4k 0.6× 667 0.3× 960 1.0× 92 0.1× 418 0.8× 50 2.8k

Countries citing papers authored by Prabhpreet Singh

Since Specialization
Citations

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

Fields of papers citing papers by Prabhpreet Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prabhpreet Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Prabhpreet Singh. A scholar is included among the top collaborators of Prabhpreet Singh 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 Prabhpreet Singh. Prabhpreet Singh 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.
Sharma, Rashmi, et al.. (2025). Organic Dye‐Based Powder for the Visualization of the Latent Fingerprints and Cyanide Detection. ChemistrySelect. 10(13). 1 indexed citations
2.
3.
Kaur, Satwinderjeet, et al.. (2024). Non-invasive ‘turn-on’ optical monitoring of homocysteine in urine, live cells and sweat. Microchemical Journal. 200. 110275–110275. 2 indexed citations
4.
5.
Singh, Prabhpreet, et al.. (2024). Aggregation induced emission-based materials for fluorescence imaging of latent fingerprints using wet and powder dusting methods: Effect of physical factors and tape lifting. Journal of Photochemistry and Photobiology A Chemistry. 457. 115899–115899. 6 indexed citations
6.
Mishra, Prakash Chandra, et al.. (2024). A novel TICT-based molecular rotor: synthesis, crystal structure and application in high resolution imaging of sweat pores. Journal of Materials Chemistry C. 12(48). 19424–19434. 1 indexed citations
7.
Singh, Prabhpreet, et al.. (2024). Multi‐Purpose Fluorescent Powder: Development of Latent Fingerprints and Glove Prints. ChemistrySelect. 9(12). 5 indexed citations
8.
Kaur, Satwinderjeet, et al.. (2023). An activatable AIEgen for imaging of endogenous H2S: Reticulation based H2S gas sensor. Journal of Photochemistry and Photobiology A Chemistry. 444. 114995–114995. 6 indexed citations
9.
Singh, Prabhpreet, et al.. (2023). A coronene diimide based radical anion for detection of picomolar H2O2: a biochemical assay for detection of picomolar glucose in aqueous medium. Journal of Materials Chemistry B. 12(4). 1043–1051. 3 indexed citations
10.
Kumar, Gulshan, et al.. (2022). “Turn-On” monopodal and dipodal nanoprobes for serum albumins – a case of shift in selectivity towards BSA and a Z- to U-like conformational change. Materials Chemistry Frontiers. 6(18). 2651–2660. 8 indexed citations
11.
Ahmad, Manzoor, Gulshan Kumar, Satwinderjeet Kaur, et al.. (2021). An ESIPT based versatile fluorescent probe for bioimaging live-cells and E. coli under strongly acidic conditions. New Journal of Chemistry. 45(40). 19145–19153. 6 indexed citations
12.
13.
Kumar, Gulshan, et al.. (2020). A stilbazolium dye-based chromogenic and red-fluorescent probe for recognition of 2,4,6-trinitrophenol in water. New Journal of Chemistry. 44(26). 10870–10877. 8 indexed citations
14.
Ahmad, Manzoor, et al.. (2020). Ratiometric chemosensor for differentiation of TNP from other NACs using distinct blue fluorescence and visualization of latent fingerprints. Journal of Materials Chemistry C. 9(3). 1097–1106. 33 indexed citations
15.
Kaur, Sandeep, Ajay Kumar, Sharad Thakur, et al.. (2020). Antioxidant, Antiproliferative and Apoptosis-Inducing Efficacy of Fractions from Cassia fistula L. Leaves. Antioxidants. 9(2). 173–173. 31 indexed citations
16.
Tripathi, Neetu, Rahul Kumar, Prabhpreet Singh, & Subodh Kumar. (2017). Ratiometric fluorescence “Turn On” probe for fast and selective detection of TNT in solution, solid and vapour. Sensors and Actuators B Chemical. 246. 1001–1010. 13 indexed citations
17.
Kumar, Sandeep, et al.. (2013). A chemodosimeter for ratiometric detection of cyanide in aqueous media and human blood serum. Chemical Communications. 49(26). 2667–2667. 61 indexed citations
18.
Kumar, Sandeep, et al.. (2012). 1-(2-Naphthyl)benzimidazolium based tripod for fluorescence enhancement based recognition of surfactants in water. RSC Advances. 2(26). 9969–9969. 15 indexed citations
19.
Singh, Prabhpreet, Francesca M. Toma, Jitendra Kumar, et al.. (2011). Carbon Nanotube–Nucleobase Hybrids: Nanorings from Uracil‐Modified Single‐Walled Carbon Nanotubes. Chemistry - A European Journal. 17(24). 6772–6780. 39 indexed citations
20.
Jain, Sanjay K., Qijian Cheng, Prabhpreet Singh, et al.. (2007). Accelerated Detection ofMycobacterium tuberculosisGenes Essential for Bacterial Survival in Guinea Pigs, Compared with Mice. The Journal of Infectious Diseases. 195(11). 1634–1642. 38 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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