Bryan Q. Spring

3.8k total citations · 1 hit paper
44 papers, 3.3k citations indexed

About

Bryan Q. Spring is a scholar working on Biomedical Engineering, Pulmonary and Respiratory Medicine and Biotechnology. According to data from OpenAlex, Bryan Q. Spring has authored 44 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Biomedical Engineering, 19 papers in Pulmonary and Respiratory Medicine and 12 papers in Biotechnology. Recurrent topics in Bryan Q. Spring's work include Nanoplatforms for cancer theranostics (25 papers), Photodynamic Therapy Research Studies (19 papers) and Cancer Research and Treatments (12 papers). Bryan Q. Spring is often cited by papers focused on Nanoplatforms for cancer theranostics (25 papers), Photodynamic Therapy Research Studies (19 papers) and Cancer Research and Treatments (12 papers). Bryan Q. Spring collaborates with scholars based in United States, Mexico and India. Bryan Q. Spring's co-authors include Tayyaba Hasan, Imran Rizvi, Brian W. Pogue, Jonathan P. Celli, Conor L. Evans, Kimberley S. Samkoe, Sarika Verma, Nan Xu, Robert S. Knox and Zhiming Mai and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Nature Nanotechnology.

In The Last Decade

Bryan Q. Spring

41 papers receiving 3.2k citations

Hit Papers

Imaging and Photodynamic Therapy: Mechanisms, Monitoring,... 2010 2026 2015 2020 2010 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bryan Q. Spring United States 16 2.4k 1.7k 1.4k 631 319 44 3.3k
Nobuyuki Kosaka Japan 27 1.9k 0.8× 1.0k 0.6× 962 0.7× 1.1k 1.7× 361 1.1× 73 3.9k
Xiangpeng Zheng China 28 2.4k 1.0× 876 0.5× 1.9k 1.3× 509 0.8× 641 2.0× 54 3.6k
Sasidharan Swarnalatha Lucky Singapore 10 2.7k 1.2× 1.4k 0.8× 2.0k 1.4× 492 0.8× 541 1.7× 14 3.4k
Ruijing Liang China 32 2.3k 1.0× 501 0.3× 994 0.7× 780 1.2× 742 2.3× 62 3.4k
Hongguang Liu United States 36 1.4k 0.6× 493 0.3× 705 0.5× 990 1.6× 304 1.0× 92 3.3k
Makoto Mitsunaga United States 27 1.7k 0.7× 1.2k 0.7× 523 0.4× 741 1.2× 302 0.9× 49 3.0k
Dev Chatterjee United States 11 2.0k 0.8× 802 0.5× 2.3k 1.6× 499 0.8× 590 1.8× 15 3.5k
Zipeng Zhen United States 23 1.8k 0.7× 484 0.3× 1.5k 1.0× 858 1.4× 1.0k 3.2× 29 3.4k
Yukun Duan Singapore 28 2.3k 1.0× 523 0.3× 1.9k 1.3× 819 1.3× 419 1.3× 37 3.3k
Cheng Xu Singapore 29 2.5k 1.0× 458 0.3× 1.2k 0.8× 1.2k 1.9× 491 1.5× 56 3.5k

Countries citing papers authored by Bryan Q. Spring

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Q. Spring

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan Q. Spring. 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 Bryan Q. Spring. The network helps show where Bryan Q. Spring may publish in the future.

Co-authorship network of co-authors of Bryan Q. Spring

This figure shows the co-authorship network connecting the top 25 collaborators of Bryan Q. Spring. A scholar is included among the top collaborators of Bryan Q. Spring 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 Bryan Q. Spring. Bryan Q. Spring 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.
Silva, Pushpamali De, Mohammad A. Saad, Zhiming Mai, et al.. (2025). Photodynamic priming with red light triggers adaptive immune responses in a pancreatic cancer mouse model. Journal of Photochemistry and Photobiology B Biology. 265. 113126–113126. 1 indexed citations
2.
Wu, Xinyu, et al.. (2024). High-speed forward-viewing optical coherence tomography probe based on Lissajous sampling and sparse reconstruction. Optics Letters. 49(13). 3652–3652. 3 indexed citations
3.
Zahid, Mohammad U., Shubhankar Nath, Tayyaba Hasan, et al.. (2024). Fractionated photoimmunotherapy stimulates an anti-tumour immune response: an integrated mathematical and in vitro study. British Journal of Cancer. 131(8). 1378–1386.
4.
Ducourthial, Guillaume, et al.. (2024). Video-rate two-photon microendoscopy using second harmonic resonance fiber scanning. Biomedical Optics Express. 15(11). 6324–6324.
5.
Saad, Mohammad A., et al.. (2024). Methods for assessing and removing non‐specific photoimmunotherapy damage in patient‐derived tumor cell culture models. Photochemistry and Photobiology. 101(1). 4–20. 1 indexed citations
6.
Sutin, Jason, et al.. (2023). Multi-objective optimization of custom compound prism arrays for multiplexed optical imaging. Optics Express. 31(6). 9739–9739. 1 indexed citations
7.
Zahid, Mohammad U., Jennifer M. Binning, Bryan Q. Spring, et al.. (2022). Rethinking the immunotherapy numbers game. Journal for ImmunoTherapy of Cancer. 10(7). e005107–e005107. 12 indexed citations
8.
Zhang, Kai, et al.. (2022). An open-source LED array illumination system for automated multiwell plate cell culture photodynamic therapy experiments. Scientific Reports. 12(1). 19341–19341. 5 indexed citations
9.
Spring, Bryan Q., et al.. (2022). Photodynamic Treatments for Disseminated Cancer Metastases Using Fiber-Optic Technologies. Methods in molecular biology. 2451. 185–201. 1 indexed citations
10.
Lu, Haibin, et al.. (2020). Site‐specific Bioconjugation and Convergent Click Chemistry Enhances Antibody–Chromophore Conjugate Binding Efficiency. Photochemistry and Photobiology. 96(3). 596–603. 24 indexed citations
11.
Nath, Shubhankar, et al.. (2019). Cancer Cell‐targeted and Activatable Photoimmunotherapy Spares T Cells in a 3D Coculture Model. Photochemistry and Photobiology. 96(2). 295–300. 19 indexed citations
12.
Spring, Bryan Q., Imran Rizvi, Robert M. Wenham, et al.. (2019). Illuminating the Numbers: Integrating Mathematical Models to Optimize Photomedicine Dosimetry and Combination Therapies. Frontiers in Physics. 7. 1 indexed citations
13.
Ducourthial, Guillaume, et al.. (2019). Custom fabrication and mode-locked operation of a femtosecond fiber laser for multiphoton microscopy. Scientific Reports. 9(1). 4233–4233. 24 indexed citations
14.
15.
Spring, Bryan Q., R. Bryan Sears, Lei Zheng, et al.. (2016). A photoactivable multi-inhibitor nanoliposome for tumour control and simultaneous inhibition of treatment escape pathways. Nature Nanotechnology. 11(4). 378–387. 207 indexed citations
16.
Spring, Bryan Q., Imran Rizvi, Nan Xu, & Tayyaba Hasan. (2015). The role of photodynamic therapy in overcoming cancer drug resistance. Photochemical & Photobiological Sciences. 14(8). 1476–1491. 280 indexed citations
17.
Spring, Bryan Q., et al.. (2015). Simultaneous delivery of cytotoxic and biologic therapeutics using nanophotoactivatable liposomes enhances treatment efficacy in a mouse model of pancreatic cancer. Nanomedicine Nanotechnology Biology and Medicine. 12(1). 223–234. 47 indexed citations
18.
Chen, Yi‐Chun, Bryan Q. Spring, & Robert M. Clegg. (2012). Fluorescence Lifetime Imaging Comes of Age How to Do It and How to Interpret It. Methods in molecular biology. 875. 1–22. 6 indexed citations
19.
Spring, Bryan Q. & Robert M. Clegg. (2009). Image analysis for denoising full‐field frequency‐domain fluorescence lifetime images. Journal of Microscopy. 235(2). 221–237. 24 indexed citations
20.
Zhong, Wuning, Jonathan P. Celli, Imran Rizvi, et al.. (2009). In vivo high-resolution fluorescence microendoscopy for ovarian cancer detection and treatment monitoring. British Journal of Cancer. 101(12). 2015–2022. 83 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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