Aniruddha Ray

1.3k total citations
74 papers, 1.0k citations indexed

About

Aniruddha Ray is a scholar working on Biomedical Engineering, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, Aniruddha Ray has authored 74 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Biomedical Engineering, 17 papers in Atomic and Molecular Physics, and Optics and 15 papers in Materials Chemistry. Recurrent topics in Aniruddha Ray's work include Nanoplatforms for cancer theranostics (17 papers), Digital Holography and Microscopy (12 papers) and Photoacoustic and Ultrasonic Imaging (10 papers). Aniruddha Ray is often cited by papers focused on Nanoplatforms for cancer theranostics (17 papers), Digital Holography and Microscopy (12 papers) and Photoacoustic and Ultrasonic Imaging (10 papers). Aniruddha Ray collaborates with scholars based in United States, India and United Kingdom. Aniruddha Ray's co-authors include Raoul Kopelman, Peuli Nath, Gwangseong Kim, Xueding Wang, Aydogan Özcan, Yong-Eun Koo Lee, Yong‐Eun Koo Lee, Prasanta Kumar Datta, Ming Qin and Md Alamgir Kabir and has published in prestigious journals such as Nature Communications, ACS Nano and Applied Physics Letters.

In The Last Decade

Aniruddha Ray

68 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aniruddha Ray United States 20 522 257 198 172 151 74 1.0k
Stephen C. Lee United States 18 324 0.6× 303 1.2× 197 1.0× 128 0.7× 71 0.5× 39 999
Fabio Domenici Italy 20 517 1.0× 244 0.9× 234 1.2× 85 0.5× 55 0.4× 72 974
Nikin Patel United Kingdom 16 410 0.8× 285 1.1× 163 0.8× 262 1.5× 222 1.5× 20 1.1k
Nataliia Guz United States 21 527 1.0× 575 2.2× 165 0.8× 385 2.2× 334 2.2× 46 1.5k
Francesca Palombo United Kingdom 24 633 1.2× 253 1.0× 209 1.1× 100 0.6× 253 1.7× 57 1.5k
Michael J. R. Previte United States 20 687 1.3× 451 1.8× 554 2.8× 159 0.9× 82 0.5× 40 1.4k
Karolien Jans Belgium 14 546 1.0× 422 1.6× 199 1.0× 329 1.9× 54 0.4× 34 1.1k
Xiangxu Kong United States 12 375 0.7× 675 2.6× 281 1.4× 168 1.0× 112 0.7× 17 1.2k
Sharad Gupta India 18 436 0.8× 194 0.8× 151 0.8× 60 0.3× 74 0.5× 70 1.0k
Yunze Yang United States 19 724 1.4× 801 3.1× 103 0.5× 195 1.1× 149 1.0× 45 1.5k

Countries citing papers authored by Aniruddha Ray

Since Specialization
Citations

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

Fields of papers citing papers by Aniruddha Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aniruddha Ray

This figure shows the co-authorship network connecting the top 25 collaborators of Aniruddha Ray. A scholar is included among the top collaborators of Aniruddha Ray 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 Aniruddha Ray. Aniruddha Ray 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.
Good, Marion, David T. Moore, Sujan Dhar, et al.. (2025). The Known and Unknown About Female Reproductive Tract Mucus Rheological Properties. BioEssays. 47(6). e70002–e70002.
2.
Ray, Aniruddha, et al.. (2024). Feasibility of a Small, Low-Power RTG Concept Utilizing a GPHS Heat Source. Nuclear Technology. 211(sup1).
3.
Nath, Peuli & Aniruddha Ray. (2024). Perovskite-based core-shell nanoparticles: a promising tool for biosensing and imaging. 3–3. 2 indexed citations
4.
Nath, Peuli, et al.. (2023). Label-free identification of cell death mechanism using scattering-based microscopy and deep learning. Journal of Physics D Applied Physics. 56(48). 485401–485401. 3 indexed citations
5.
Nath, Peuli & Aniruddha Ray. (2023). Nanotechnology-based strategies for advancing point-of-care lateral flow immunoassays. Current Opinion in Biomedical Engineering. 28. 100504–100504. 4 indexed citations
6.
Nath, Peuli, et al.. (2023). Fluorescence-Based Portable Assays for Detection of Biological and Chemical Analytes. Sensors. 23(11). 5053–5053. 37 indexed citations
7.
Nath, Peuli, et al.. (2021). Automated detection of apoptotic versus nonapoptotic cell death using label‐free computational microscopy. Journal of Biophotonics. 15(4). e202100310–e202100310. 17 indexed citations
8.
Ray, Aniruddha, Andriejus Demčenko, Derek Tseng, et al.. (2020). Holographic detection of nanoparticles using acoustically actuated nanolenses. Nature Communications. 11(1). 171–171. 30 indexed citations
9.
Ray, Aniruddha, Mark R. Hanudel, Hyou‐Arm Joung, et al.. (2020). Measurement of serum phosphate levels using a mobile sensor. The Analyst. 145(5). 1841–1848. 22 indexed citations
10.
Ray, Aniruddha, et al.. (2020). Calcium spikes accompany cleavage furrow ingression and cell separation during fission yeast cytokinesis. Molecular Biology of the Cell. 32(1). 15–27. 12 indexed citations
11.
Ray, Aniruddha, Calvin Brown, Derek Tseng, et al.. (2019). Low-cost and portable UV holographic microscope for high-contrast protein crystal imaging. APL Photonics. 4(3). 15 indexed citations
12.
Zhang, Yibo, Mengxing Ouyang, Aniruddha Ray, et al.. (2019). Computational cytometer based on magnetically modulated coherent imaging and deep learning. Light Science & Applications. 8(1). 91–91. 24 indexed citations
13.
Ray, Aniruddha, Manlio Tassieri, Andriejus Demčenko, et al.. (2019). Computational Image Analysis of Guided Acoustic Waves Enables Rheological Assessment of Sub-nanoliter Volumes. ACS Nano. 13(10). 11062–11069. 5 indexed citations
14.
Wu, Yichen, Aniruddha Ray, Qingshan Wei, et al.. (2019). Particle-Aggregation Based Virus Sensor Using Deep Learning and Lensless Digital Holography. Conference on Lasers and Electro-Optics. 1 indexed citations
15.
Wu, Yichen, Aniruddha Ray, Qingshan Wei, et al.. (2018). Deep Learning Enables High-Throughput Analysis of Particle-Aggregation-Based Biosensors Imaged Using Holography. ACS Photonics. 6(2). 294–301. 58 indexed citations
16.
Ray, Aniruddha, Shuoran Li, Tatiana Segura, & Aydogan Özcan. (2017). High-Throughput Quantification of Nanoparticle Degradation Using Computational Microscopy and Its Application to Drug Delivery Nanocapsules. ACS Photonics. 4(5). 1216–1224. 15 indexed citations
17.
Ray, Aniruddha, et al.. (2017). Computational sensing of herpes simplex virus using a cost-effective on-chip microscope. Scientific Reports. 7(1). 4856–4856. 18 indexed citations
18.
Ray, Aniruddha, Zoltán Göröcs, R. K. Malik, et al.. (2017). Computational On-Chip Imaging of Nanoparticles and Biomolecules using Ultraviolet Light. Scientific Reports. 7(1). 44157–44157. 16 indexed citations
19.
Ray, Aniruddha, Yong‐Eun Koo Lee, Gwangseong Kim, & Raoul Kopelman. (2012). Two‐Photon Fluorescence Imaging Super‐Enhanced by Multishell Nanophotonic Particles, with Application to Subcellular pH. Small. 8(14). 2213–2221. 31 indexed citations
20.
Ray, Aniruddha, et al.. (2012). Lifetime-based photoacoustic oxygen sensing in vivo. Journal of Biomedical Optics. 17(5). 57004–57004. 34 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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