Daniel Razansky

17.5k total citations · 3 hit papers
440 papers, 12.9k citations indexed

About

Daniel Razansky is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Mechanics of Materials. According to data from OpenAlex, Daniel Razansky has authored 440 papers receiving a total of 12.9k indexed citations (citations by other indexed papers that have themselves been cited), including 400 papers in Biomedical Engineering, 286 papers in Radiology, Nuclear Medicine and Imaging and 85 papers in Mechanics of Materials. Recurrent topics in Daniel Razansky's work include Photoacoustic and Ultrasonic Imaging (379 papers), Optical Imaging and Spectroscopy Techniques (261 papers) and Nanoplatforms for cancer theranostics (101 papers). Daniel Razansky is often cited by papers focused on Photoacoustic and Ultrasonic Imaging (379 papers), Optical Imaging and Spectroscopy Techniques (261 papers) and Nanoplatforms for cancer theranostics (101 papers). Daniel Razansky collaborates with scholars based in Germany, Switzerland and United States. Daniel Razansky's co-authors include Vasilis Ntziachristos, Xosé Luís Deán‐Ben, Amir Rosenthal, Andreas Buehler, Claudio Vinegoni, Sven Gottschalk, Rui Ma, Adrian Taruttis, Shy Shoham and Héctor Estrada and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Daniel Razansky

414 papers receiving 12.6k citations

Hit Papers

Molecular Imaging by Mean... 2009 2026 2014 2020 2010 2009 2025 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel Razansky 11.3k 6.8k 4.0k 901 636 440 12.9k
Junjie Yao 9.0k 0.8× 4.0k 0.6× 4.2k 1.0× 1.1k 1.3× 590 0.9× 324 11.0k
Xueding Wang 7.0k 0.6× 3.4k 0.5× 2.9k 0.7× 831 0.9× 422 0.7× 278 8.2k
Hao F. Zhang 6.9k 0.6× 3.4k 0.5× 2.6k 0.7× 1.0k 1.1× 1.1k 1.8× 225 9.0k
Konstantin Maslov 12.2k 1.1× 5.9k 0.9× 6.5k 1.6× 716 0.8× 719 1.1× 231 13.2k
Paul C. Beard 10.6k 0.9× 5.5k 0.8× 4.9k 1.2× 562 0.6× 405 0.6× 250 11.6k
Song Hu 6.6k 0.6× 2.5k 0.4× 2.8k 0.7× 922 1.0× 397 0.6× 130 7.7k
Lidai Wang 5.5k 0.5× 1.7k 0.2× 2.2k 0.5× 503 0.6× 327 0.5× 158 6.2k
Alexander A. Oraevsky 5.4k 0.5× 3.0k 0.4× 2.2k 0.6× 524 0.6× 233 0.4× 216 6.6k
Chulhong Kim 13.1k 1.2× 3.7k 0.5× 3.9k 1.0× 2.3k 2.6× 411 0.6× 419 17.0k
Mathieu Pernot 6.8k 0.6× 6.5k 1.0× 1.6k 0.4× 198 0.2× 118 0.2× 251 9.2k

Countries citing papers authored by Daniel Razansky

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Razansky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Razansky

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Razansky. A scholar is included among the top collaborators of Daniel Razansky 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 Daniel Razansky. Daniel Razansky 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.
Chen, Zhenyue, Qing-Ping Ding, Hikari A. I. Yoshihara, et al.. (2025). Non-invasive large-scale imaging of concurrent neuronal, astrocytic, and hemodynamic activity with hybrid multiplexed fluorescence and magnetic resonance imaging (HyFMRI). Light Science & Applications. 14(1). 341–341. 1 indexed citations
4.
Kirabali, Tunahan, Uwe Konietzko, Daniel Razansky, et al.. (2025). Reduced synaptic vesicle protein 2A in extracellular vesicles and brains of Alzheimer’s disease: associations with Aβ, tau, synaptic proteins and APOE ε4. Translational Neurodegeneration. 14(1). 48–48.
5.
Tang, Lin, Sandeep Kumar Kalva, Quanyu Zhou, et al.. (2025). Scalable Copper Sulfide Formulations for Super‐Resolution Optoacoustic Brain Imaging in the Second Near‐Infrared Window (Small Methods 1/2025). Small Methods. 9(1). 1 indexed citations
6.
Estrada, Héctor, et al.. (2025). Holographic transcranial ultrasound neuromodulation enhances stimulation efficacy by cooperatively recruiting distributed brain circuits. Nature Biomedical Engineering. 10(1). 6–15. 3 indexed citations
7.
Zhou, Quanyu, Chaim Glück, Lin Tang, et al.. (2024). Cortex-wide transcranial localization microscopy with fluorescently labeled red blood cells. Nature Communications. 15(1). 3526–3526. 5 indexed citations
8.
Chen, Zhenyue, et al.. (2024). Concurrent optoacoustic tomography and magnetic resonance imaging of resting-state functional connectivity in the mouse brain. Nature Communications. 15(1). 10791–10791. 8 indexed citations
9.
Estrada, Héctor, et al.. (2024). Model-based correction of rapid thermal confounds in fluorescence neuroimaging of targeted perturbation. Neurophotonics. 11(1). 14413–14413. 4 indexed citations
10.
Özbek, Ali, Xosé Luís Deán‐Ben, Jessica Gutiérrez, et al.. (2024). Noninvasive Tracking of Embryonic Cardiac Dynamics and Development with Volumetric Optoacoustic Spectroscopy. Advanced Science. 11(22). e2400089–e2400089. 3 indexed citations
11.
Deán‐Ben, Xosé Luís, et al.. (2024). Hybrid spherical array for combined volumetric optoacoustic and B-mode ultrasound imaging. Optics Letters. 49(6). 1469–1469. 3 indexed citations
12.
Ren, Wuwei, et al.. (2023). Monitoring mouse brain perfusion with hybrid magnetic resonance optoacoustic tomography. Biomedical Optics Express. 14(3). 1192–1192. 3 indexed citations
13.
Chen, Yunbo, et al.. (2023). Biobased Agents for Single‐Particle Detection with Optoacoustics. Small. 19(29). e2207199–e2207199. 2 indexed citations
14.
Ni, Ruiqing, Xosé Luís Deán‐Ben, Valérie Treyer, et al.. (2022). Coregistered transcranial optoacoustic and magnetic resonance angiography of the human brain. Optics Letters. 48(3). 648–648. 9 indexed citations
15.
Pérez-López, Sergio, et al.. (2022). High-Order Pulse-Echo Ultrasound. Physical Review Applied. 17(5). 2 indexed citations
16.
Mandal, Subhamoy, et al.. (2020). Brilliant cresyl blue enhanced optoacoustic imaging enables non-destructive imaging of mammalian ovarian follicles for artificial reproduction. Journal of The Royal Society Interface. 17(172). 20200776–20200776. 3 indexed citations
17.
Qian, Yong, Kiryl D. Piatkevich, Benedict Mc Larney, et al.. (2019). A genetically encoded near-infrared fluorescent calcium ion indicator. Nature Methods. 16(2). 171–174. 162 indexed citations
18.
Deán‐Ben, Xosé Luís & Daniel Razansky. (2018). Localization optoacoustic tomography. Europe PMC (PubMed Central). 66 indexed citations
19.
Mandal, Subhamoy, Elena Nasonova, Xosé Luís Deán‐Ben, & Daniel Razansky. (2014). Optimal self-calibration of tomographic reconstruction parameters in whole-body small animal optoacoustic imaging. Photoacoustics. 2(3). 128–136. 30 indexed citations
20.
Razansky, Daniel, Stephan Kellnberger, & Vasilis Ntziachristos. (2010). Near‐field radiofrequency thermoacoustic tomography with impulse excitation. Medical Physics. 37(9). 4602–4607. 64 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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