Sumeet Mahajan

6.4k total citations
128 papers, 5.0k citations indexed

About

Sumeet Mahajan is a scholar working on Biomedical Engineering, Electronic, Optical and Magnetic Materials and Biophysics. According to data from OpenAlex, Sumeet Mahajan has authored 128 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Biomedical Engineering, 51 papers in Electronic, Optical and Magnetic Materials and 36 papers in Biophysics. Recurrent topics in Sumeet Mahajan's work include Gold and Silver Nanoparticles Synthesis and Applications (46 papers), Spectroscopy Techniques in Biomedical and Chemical Research (31 papers) and Plasmonic and Surface Plasmon Research (15 papers). Sumeet Mahajan is often cited by papers focused on Gold and Silver Nanoparticles Synthesis and Applications (46 papers), Spectroscopy Techniques in Biomedical and Chemical Research (31 papers) and Plasmonic and Surface Plasmon Research (15 papers). Sumeet Mahajan collaborates with scholars based in United Kingdom, India and United States. Sumeet Mahajan's co-authors include Jeremy J. Baumberg, Philip N. Bartlett, Ullrich Steiner, Andrea E. Russell, Mamdouh E. Abdelsalam, Robin M. Cole, Fumin Huang, Oren A. Scherman, Tanya Hutter and Li Li and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and Advanced Materials.

In The Last Decade

Sumeet Mahajan

123 papers receiving 4.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sumeet Mahajan United Kingdom 39 2.5k 2.3k 1.4k 1.3k 802 128 5.0k
Tamitake Itoh Japan 38 2.7k 1.1× 2.2k 0.9× 2.3k 1.6× 1.7k 1.3× 776 1.0× 127 5.0k
Anne-Isabelle Henry United States 23 4.7k 1.9× 3.3k 1.4× 2.2k 1.6× 1.9k 1.5× 621 0.8× 28 6.2k
Oara Neumann United States 28 2.8k 1.1× 2.8k 1.2× 2.1k 1.5× 837 0.7× 828 1.0× 36 6.5k
Gobind Das Italy 37 2.1k 0.8× 2.8k 1.2× 1.5k 1.1× 973 0.8× 1.2k 1.5× 128 4.8k
Ning Fang United States 39 1.1k 0.4× 2.3k 1.0× 1.6k 1.1× 1.9k 1.5× 359 0.4× 187 5.5k
Jean‐François Masson Canada 45 1.9k 0.8× 3.5k 1.5× 851 0.6× 2.9k 2.3× 1.6k 2.0× 181 6.5k
Katherine A. Willets United States 33 5.1k 2.1× 4.6k 2.0× 2.7k 1.9× 2.3k 1.8× 1.4k 1.7× 93 8.3k
Ventsislav K. Valev United Kingdom 37 2.7k 1.1× 2.8k 1.2× 1.1k 0.8× 512 0.4× 899 1.1× 122 5.3k
Tanja Deckert‐Gaudig Germany 34 1.6k 0.6× 1.1k 0.5× 784 0.6× 1.1k 0.8× 292 0.4× 67 3.2k

Countries citing papers authored by Sumeet Mahajan

Since Specialization
Citations

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

Fields of papers citing papers by Sumeet Mahajan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumeet Mahajan

This figure shows the co-authorship network connecting the top 25 collaborators of Sumeet Mahajan. A scholar is included among the top collaborators of Sumeet Mahajan 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 Sumeet Mahajan. Sumeet Mahajan 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
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Shinkai, Yasuhiro, Toru Matsui, Masahiro Akiyama, et al.. (2025). Growth inhibitory factor/metallothionein-3 is a sulfane sulfur-binding protein. eLife. 12.
3.
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Bourdakos, Konstantinos N., et al.. (2025). Design and synthesis of quadrupolar A-D-A photon absorbing molecules: An investigation into their optical and bioimaging properties. Dyes and Pigments. 239. 112785–112785. 2 indexed citations
5.
Bourdakos, Konstantinos N., et al.. (2024). Harnessing Raman spectroscopy and multimodal imaging of cartilage for osteoarthritis diagnosis. Scientific Reports. 14(1). 31466–31466. 1 indexed citations
6.
Davidson, Ian, Peter Johnson, Gregory T. Jasion, et al.. (2024). Double-Clad Antiresonant Hollow-Core Fiber and Its Comparison with Other Fibers for Multiphoton Micro-Endoscopy. Sensors. 24(8). 2482–2482. 2 indexed citations
7.
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Standish, Christopher D., Thomas B. Chalk, Sumeet Mahajan, et al.. (2024). Correlative geochemical imaging of Desmophyllum dianthus reveals biomineralisation strategy as a key coral vital effect. Scientific Reports. 14(1). 11121–11121. 4 indexed citations
9.
Bourdakos, Konstantinos N., Kerry Setchfield, Alistair Gorman, et al.. (2023). Development of hydrogel-based standards and phantoms for non-linear imaging at depth. Journal of Biomedical Optics. 28(12). 126007–126007. 1 indexed citations
10.
Bilson, Josh, Eleonora Scorletti, Paul R. Afolabi, et al.. (2023). Markers of adipose tissue fibrogenesis associate with clinically significant liver fibrosis and are unchanged by synbiotic treatment in patients with NAFLD. Metabolism. 151. 155759–155759. 9 indexed citations
11.
Mahajan, Sumeet, et al.. (2023). Human Tau Aggregates Are Permissive to Protein Synthesis-Dependent Memory inDrosophilaTauopathy Models. Journal of Neuroscience. 43(16). 2988–3006. 3 indexed citations
12.
Johnson, Peter, Artemios Karvounis, Haobijam Johnson Singh, et al.. (2021). Superresolved polarization-enhanced second-harmonic generation for direct imaging of nanoscale changes in collagen architecture. Optica. 8(5). 674–674. 22 indexed citations
13.
Johnson, Peter, Roger Emery, Eric Hesse, et al.. (2021). Multiscale molecular profiling of pathological bone resolves sexually dimorphic control of extracellular matrix composition. Disease Models & Mechanisms. 14(3). 4 indexed citations
14.
Moura, Catarina Costa, Stuart Lanham, Konstantinos N. Bourdakos, et al.. (2018). Quantitative temporal interrogation in 3D of bioengineered human cartilage using multimodal label-free imaging. Integrative Biology. 10(10). 635–645. 8 indexed citations
15.
Hunt, Alan N., Anagha Malur, Pavlos G. Lagoudakis, et al.. (2017). Hepatic Steatosis Accompanies Pulmonary Alveolar Proteinosis. American Journal of Respiratory Cell and Molecular Biology. 57(4). 448–458. 10 indexed citations
16.
Lotery, Andrew, Philip Alexander, David A. Johnston, et al.. (2016). A novel biosynthetic RPE-BrM (Retinal Pigment Epithelium-Bruch's Membrane) assembly suitable for retinal transplantation therapy. Investigative Ophthalmology & Visual Science. 57(12). 1 indexed citations
17.
Kendall, Michaela, Rose‐Marie Mackay, Harry J. Whitwell, et al.. (2015). Surfactant protein A (SP-A) inhibits agglomeration and macrophage uptake of toxic amine modified nanoparticles. Nanotoxicology. 9(8). 952–962. 29 indexed citations
18.
Kolle, Mathias, Maik R. J. Scherer, Fumin Huang, et al.. (2010). Mimicking the colourful wing scale structure of the Papilio blumei butterfly. Nature Nanotechnology. 5(7). 511–515. 329 indexed citations
19.
Mahajan, Sumeet, Mamdouh E. Abdelsalam, S.H.L. Cintra, et al.. (2006). Tuning plasmons on nano-structured substrates for NIR-SERS. Physical Chemistry Chemical Physics. 9(1). 104–109. 89 indexed citations
20.
Suryanarayana, M. V., et al.. (2001). Simple time weighted average level air-monitoring method for sulfur mustard in work places. Journal of Chromatography A. 907(1-2). 229–234. 8 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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