Deep Punj

771 total citations
16 papers, 637 citations indexed

About

Deep Punj is a scholar working on Biomedical Engineering, Electronic, Optical and Magnetic Materials and Molecular Biology. According to data from OpenAlex, Deep Punj has authored 16 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 8 papers in Electronic, Optical and Magnetic Materials and 7 papers in Molecular Biology. Recurrent topics in Deep Punj's work include Gold and Silver Nanoparticles Synthesis and Applications (8 papers), Plasmonic and Surface Plasmon Research (8 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Deep Punj is often cited by papers focused on Gold and Silver Nanoparticles Synthesis and Applications (8 papers), Plasmonic and Surface Plasmon Research (8 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Deep Punj collaborates with scholars based in Netherlands, France and Belgium. Deep Punj's co-authors include Jérôme Wenger, Hervé Rigneault, Satish Babu Moparthi, Thomas S. van Zanten, M.F. Garcia Parajo, Mathieu Mivelle, N.F. van Hulst, Michel Orrit, Xuxing Lu and A. Femius Koenderink and has published in prestigious journals such as Nano Letters, ACS Nano and Nature Nanotechnology.

In The Last Decade

Deep Punj

16 papers receiving 613 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deep Punj Netherlands 10 497 347 239 122 114 16 637
Raju Regmi France 11 527 1.1× 306 0.9× 252 1.1× 230 1.9× 153 1.3× 13 712
Christiane Höppener Germany 14 414 0.8× 236 0.7× 112 0.5× 156 1.3× 136 1.2× 30 605
Somin Eunice Lee United States 10 271 0.5× 279 0.8× 276 1.2× 74 0.6× 41 0.4× 20 555
Sassan Sheikholeslami United States 6 700 1.4× 821 2.4× 356 1.5× 210 1.7× 117 1.0× 7 1.1k
Krishnan Sathiyamoorthy Canada 15 617 1.2× 424 1.2× 107 0.4× 109 0.9× 167 1.5× 44 863
Avijit Barik United States 10 682 1.4× 160 0.5× 265 1.1× 119 1.0× 230 2.0× 11 805
Regivaldo G. Sobral-Filho Canada 10 309 0.6× 315 0.9× 164 0.7× 51 0.4× 44 0.4× 11 535
Taehwang Son South Korea 13 289 0.6× 132 0.4× 338 1.4× 41 0.3× 74 0.6× 31 544
Barbora Špačková Czechia 13 719 1.4× 356 1.0× 395 1.7× 135 1.1× 324 2.8× 21 961
Adam B. Taylor Australia 7 420 0.8× 360 1.0× 144 0.6× 87 0.7× 106 0.9× 10 597

Countries citing papers authored by Deep Punj

Since Specialization
Citations

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

Fields of papers citing papers by Deep Punj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deep Punj

This figure shows the co-authorship network connecting the top 25 collaborators of Deep Punj. A scholar is included among the top collaborators of Deep Punj 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 Deep Punj. Deep Punj 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.
Pinheiro, Cláudio, Charysse Vandendriessche, Estefanía Lozano−Andrés, et al.. (2025). Pre-formation loading of extracellular vesicles with exogenous molecules using photoporation. Journal of Nanobiotechnology. 23(1). 556–556. 1 indexed citations
2.
Keersmaecker, Herlinde De, Deep Punj, Geert Berx, et al.. (2023). Laser-induced vapor nanobubbles for B16-F10 melanoma cell killing and intracellular delivery of chemotherapeutics. Journal of Controlled Release. 365. 1019–1036. 7 indexed citations
3.
Berdecka, Dominika, Tao Lu, Deep Punj, et al.. (2023). Photothermal nanofibers enable macromolecule delivery in unstimulated human T cells. Applied Materials Today. 35. 101991–101991. 5 indexed citations
4.
Punj, Deep, Aranit Harizaj, Sofie Thys, et al.. (2023). Response Surface Methodology to Efficiently Optimize Intracellular Delivery by Photoporation. International Journal of Molecular Sciences. 24(4). 3147–3147. 15 indexed citations
5.
Berdecka, Dominika, Aranit Harizaj, Deep Punj, et al.. (2023). Delivery of macromolecules in unstimulated T cells by photoporation with polydopamine nanoparticles. Journal of Controlled Release. 354. 680–693. 15 indexed citations
6.
Baaske, Martin D., et al.. (2022). Nanosecond time scale transient optoplasmonic detection of single proteins. Science Advances. 8(2). eabl5576–eabl5576. 19 indexed citations
7.
Lu, Xuxing, Deep Punj, & Michel Orrit. (2022). Controlled synthesis of gold nanorod dimers with end-to-end configurations. RSC Advances. 12(21). 13464–13471. 9 indexed citations
8.
Lu, Xuxing, Deep Punj, & Michel Orrit. (2022). Two-Photon-Excited Single-Molecule Fluorescence Enhanced by Gold Nanorod Dimers. Nano Letters. 22(10). 4215–4222. 18 indexed citations
9.
Baaske, Martin D., et al.. (2021). Photothermal Spectro-Microscopy as Benchmark for Optoplasmonic Bio-Detection Assays. The Journal of Physical Chemistry C. 125(45). 25087–25093. 5 indexed citations
10.
Lu, Xuxing, Gang Ye, Deep Punj, Ryan C. Chiechi, & Michel Orrit. (2020). Quantum Yield Limits for the Detection of Single-Molecule Fluorescence Enhancement by a Gold Nanorod. ACS Photonics. 7(9). 2498–2505. 28 indexed citations
11.
Punj, Deep, Raju Regmi, Alexis Devilez, et al.. (2015). Self-Assembled Nanoparticle Dimer Antennas for Plasmonic-Enhanced Single-Molecule Fluorescence Detection at Micromolar Concentrations. ACS Photonics. 2(8). 1099–1107. 112 indexed citations
12.
Punj, Deep, Hervé Rigneault, & Jérôme Wenger. (2014). Single gold nanoparticles to enhance the detection of single fluorescent molecules at micromolar concentration using fluorescence correlation spectroscopy. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9126. 91261N–91261N. 1 indexed citations
13.
Punj, Deep, Mathieu Mivelle, Satish Babu Moparthi, et al.. (2013). A plasmonic ‘antenna-in-box’ platform for enhanced single-molecule analysis at micromolar concentrations. Nature Nanotechnology. 8(7). 512–516. 288 indexed citations
14.
Langguth, Lutz, Deep Punj, Jérôme Wenger, & A. Femius Koenderink. (2013). Plasmonic Band Structure Controls Single-Molecule Fluorescence. ACS Nano. 7(10). 8840–8848. 61 indexed citations
15.
Punj, Deep, Juan de Torres, Hervé Rigneault, & Jérôme Wenger. (2013). Gold nanoparticles for enhanced single molecule fluorescence analysis at micromolar concentration. Optics Express. 21(22). 27338–27338. 34 indexed citations
16.
Mathew, S., Santhi Ani Joseph, Deep Punj, et al.. (2011). Nonlinear optical characterization and measurement of optical limiting threshold of CdSe quantum dots prepared by a microemulsion technique. Journal of Materials Science Materials in Electronics. 23(3). 739–745. 19 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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2026