Tim C. Lei

898 total citations
48 papers, 658 citations indexed

About

Tim C. Lei is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Tim C. Lei has authored 48 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 13 papers in Biomedical Engineering and 12 papers in Cognitive Neuroscience. Recurrent topics in Tim C. Lei's work include Neuroscience and Neural Engineering (11 papers), Photoreceptor and optogenetics research (10 papers) and Neural dynamics and brain function (10 papers). Tim C. Lei is often cited by papers focused on Neuroscience and Neural Engineering (11 papers), Photoreceptor and optogenetics research (10 papers) and Neural dynamics and brain function (10 papers). Tim C. Lei collaborates with scholars based in United States, China and Macao. Tim C. Lei's co-authors include Malik Y. Kahook, David A. Ammar, Omid Masihzadeh, Emily A. Gibson, A. Klug, Anna Dondzillo, Elizabeth A. Stubblefield, Gidon Felsen, Sio Hang Pun and Zheng Huang and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Neurophysiology.

In The Last Decade

Tim C. Lei

45 papers receiving 649 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim C. Lei United States 14 174 151 128 126 104 48 658
Andrew Browne United States 19 164 0.9× 298 2.0× 46 0.4× 381 3.0× 60 0.6× 66 1.2k
Keerthi Ram India 12 104 0.6× 101 0.7× 68 0.5× 86 0.7× 177 1.7× 53 741
Bo Shui United States 16 316 1.8× 94 0.6× 116 0.9× 697 5.5× 47 0.5× 35 1.3k
Ross D. Shonat United States 14 64 0.4× 167 1.1× 55 0.4× 183 1.5× 27 0.3× 25 1.0k
In Seok Moon South Korea 20 27 0.2× 35 0.2× 17 0.1× 112 0.9× 268 2.6× 140 1.5k
Arkady S. Abdurashitov Russia 14 122 0.7× 162 1.1× 7 0.1× 72 0.6× 39 0.4× 54 556
Jenny I. Szu United States 14 253 1.5× 89 0.6× 29 0.2× 245 1.9× 35 0.3× 20 714
Abhishek Rege United States 12 77 0.4× 251 1.7× 33 0.3× 39 0.3× 41 0.4× 37 756
Ingo Schießl United Kingdom 16 130 0.7× 133 0.9× 19 0.1× 134 1.1× 245 2.4× 33 750

Countries citing papers authored by Tim C. Lei

Since Specialization
Citations

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

Fields of papers citing papers by Tim C. Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim C. Lei. 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 Tim C. Lei. The network helps show where Tim C. Lei may publish in the future.

Co-authorship network of co-authors of Tim C. Lei

This figure shows the co-authorship network connecting the top 25 collaborators of Tim C. Lei. A scholar is included among the top collaborators of Tim C. Lei 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 Tim C. Lei. Tim C. Lei 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.
Pang, Yan, Yunhao Li, Teng Huang, et al.. (2025). Online Self-Distillation and Self-Modeling for 3D Brain Tumor Segmentation. IEEE Journal of Biomedical and Health Informatics. 29(12). 8965–8975. 4 indexed citations
2.
Xu, Yanyan, Yuebo Liu, Zhiwen Liang, et al.. (2025). Sapphire-Based Optrode for Low Noise Neural Recording and Optogenetic Manipulation. ACS Chemical Neuroscience. 16(4). 628–641.
3.
Greene, Nathaniel T., et al.. (2024). Hearing ability of prairie voles ( Microtus ochrogaster ). The Journal of the Acoustical Society of America. 155(1). 555–567. 4 indexed citations
4.
Denman, Daniel J., et al.. (2024). A fully automatic multichannel neural spike sorting algorithm with spike reduction and positional feature. Journal of Neural Engineering. 21(4). 46039–46039. 4 indexed citations
5.
Pun, Sio Hang, et al.. (2022). Predicting the Influence of Axon Myelination on Sound Localization Precision Using a Spiking Neural Network Model of Auditory Brainstem. Frontiers in Neuroscience. 16. 840983–840983. 1 indexed citations
6.
Pang, Yan, et al.. (2020). Automatic detection and quantification of hand movements toward development of an objective assessment of tremor and bradykinesia in Parkinson's disease. Journal of Neuroscience Methods. 333. 108576–108576. 37 indexed citations
7.
Zou, Jian, Weijun Li, Na Meng, et al.. (2020). Evaluation of lensed fibers used in photodynamic therapy (PDT). Photodiagnosis and Photodynamic Therapy. 31. 101924–101924. 6 indexed citations
8.
Pun, Sio Hang, et al.. (2020). Robotic stereotaxic system based on 3D skull reconstruction to improve surgical accuracy and speed. Journal of Neuroscience Methods. 347. 108955–108955. 6 indexed citations
9.
Pun, Sio Hang, Elizabeth A. McCullagh, A. Klug, et al.. (2019). Low-latency single channel real-time neural spike sorting system based on template matching. PLoS ONE. 14(11). e0225138–e0225138. 17 indexed citations
10.
Li, Weijun, Peng Li, Tim C. Lei, et al.. (2019). Quantitative assessment of skin swelling using optical coherence tomography. Photodiagnosis and Photodynamic Therapy. 26. 413–419. 4 indexed citations
11.
Zhang, Xianzeng, Nenrong Liu, Peng Un Mak, et al.. (2016). Three-Dimensional Segmentation and Quantitative Measurement of the Aqueous Outflow System of Intact Mouse Eyes Based on Spectral Two-Photon Microscopy Techniques. Investigative Ophthalmology & Visual Science. 57(7). 3159–3159. 5 indexed citations
12.
Dondzillo, Anna, Kevin Quinn, Charmion Cruickshank‐Quinn, et al.. (2015). A recording chamber for small volume slice electrophysiology. Journal of Neurophysiology. 114(3). 2053–2064. 6 indexed citations
13.
Pun, Sio Hang, et al.. (2014). Circuit Models and Experimental Noise Measurements of Micropipette Amplifiers for Extracellular Neural Recordings from Live Animals. BioMed Research International. 2014. 1–14. 10 indexed citations
14.
Dondzillo, Anna, et al.. (2013). Light Scattering Properties Vary across Different Regions of the Adult Mouse Brain. PLoS ONE. 8(7). e67626–e67626. 91 indexed citations
15.
Masihzadeh, Omid, David A. Ammar, Malik Y. Kahook, Emily A. Gibson, & Tim C. Lei. (2013). Direct trabecular meshwork imaging in porcine eyes through multiphoton gonioscopy. Journal of Biomedical Optics. 18(3). 36009–36009. 17 indexed citations
16.
17.
Lei, Tim C., et al.. (2012). Optical properties of hematoporphyrin monomethyl ether (HMME), a PDT photosensitizer. Photodiagnosis and Photodynamic Therapy. 9(3). 232–242. 51 indexed citations
18.
Giral, Héctor, Luca Lanzanò, Yupanqui Caldas, et al.. (2011). Role of PDZK1 Protein in Apical Membrane Expression of Renal Sodium-coupled Phosphate Transporters. Journal of Biological Chemistry. 286(17). 15032–15042. 41 indexed citations
19.
Blaine, Judith, Luca Lanzanò, Héctor Giral, et al.. (2011). Dynamic Imaging of the Sodium Phosphate Cotransporters. Advances in Chronic Kidney Disease. 18(2). 145–150. 6 indexed citations
20.
Lei, Tim C., David A. Ammar, Omid Masihzadeh, Emily A. Gibson, & Malik Y. Kahook. (2011). Label-free imaging of trabecular meshwork cells using Coherent Anti-Stokes Raman Scattering (CARS) microscopy.. PubMed. 17. 2628–33. 9 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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