David J. Lee

1.5k total citations
51 papers, 1.1k citations indexed

About

David J. Lee is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, David J. Lee has authored 51 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Atomic and Molecular Physics, and Optics and 10 papers in Biomedical Engineering. Recurrent topics in David J. Lee's work include Adaptive optics and wavefront sensing (11 papers), Optical Systems and Laser Technology (6 papers) and Optical measurement and interference techniques (6 papers). David J. Lee is often cited by papers focused on Adaptive optics and wavefront sensing (11 papers), Optical Systems and Laser Technology (6 papers) and Optical measurement and interference techniques (6 papers). David J. Lee collaborates with scholars based in United States, Australia and South Korea. David J. Lee's co-authors include J.N. Andrews, Michael C. Roggemann, Frederick Grinnell, Elisa Tamaríz, Chin-Han Ho, Byron M. Welsh, Dae‐Won Park, In Ah Kim, Hans Rosenfeldt and Xianzhong Meng and has published in prestigious journals such as The Journal of Immunology, Cancer Research and Journal of Neurophysiology.

In The Last Decade

David J. Lee

47 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David J. Lee United States 18 205 194 179 158 133 51 1.1k
Qianhong Wu China 26 208 1.0× 195 1.0× 127 0.7× 22 0.1× 63 0.5× 116 1.9k
Anne Greet Bittermann Switzerland 19 346 1.7× 444 2.3× 60 0.3× 39 0.2× 247 1.9× 27 1.5k
Hiroshi Sato Japan 23 76 0.4× 434 2.2× 71 0.4× 149 0.9× 72 0.5× 112 2.4k
Hirokazu Katō Japan 19 463 2.3× 85 0.4× 25 0.1× 162 1.0× 27 0.2× 163 1.4k
Yin Xia China 13 153 0.7× 196 1.0× 32 0.2× 33 0.2× 24 0.2× 26 1.4k
Pietro Gobbi Italy 30 174 0.8× 637 3.3× 17 0.1× 218 1.4× 133 1.0× 141 2.6k
Xiaoping Xie China 27 149 0.7× 750 3.9× 22 0.1× 56 0.4× 72 0.5× 163 2.4k
Francesco Brun Italy 25 752 3.7× 91 0.5× 26 0.1× 37 0.2× 52 0.4× 83 1.9k
Matthew Walker United Kingdom 23 79 0.4× 618 3.2× 25 0.1× 275 1.7× 425 3.2× 46 1.8k

Countries citing papers authored by David J. Lee

Since Specialization
Citations

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

Fields of papers citing papers by David J. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Lee. 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 David J. Lee. The network helps show where David J. Lee may publish in the future.

Co-authorship network of co-authors of David J. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Lee. A scholar is included among the top collaborators of David J. Lee 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 David J. Lee. David J. Lee 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.
2.
Lee, David J., et al.. (2021). Telescoping Filter: A Practical Adaptive Filter.. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 18. 3 indexed citations
3.
Liu, David D., David J. Lee, James M. Robbins, et al.. (2021). A survey study examining the motivations, concerns, and perspectives of medical students engaging in neurosurgical research. Surgical Neurology International. 12. 490–490. 5 indexed citations
4.
Liu, David D., David J. Lee, James M. Robbins, et al.. (2020). The National Student Neurosurgical Research Conference: A Research Conference for Medical Students. World Neurosurgery. 146. e398–e404. 15 indexed citations
5.
Lee, David J., Jin Hee Jung, Alan H. Daniels, & Adam E. M. Eltorai. (2020). Analysis of musculoskeletal radiology fellowship websites. Skeletal Radiology. 49(7). 1149–1153. 10 indexed citations
6.
Lee, David J., Maria A. Cavasin, Danielle E. Soranno, et al.. (2019). An injectable sulfonated reversible thermal gel for therapeutic angiogenesis to protect cardiac function after a myocardial infarction. Journal of Biological Engineering. 13(1). 6–6. 22 indexed citations
7.
Kim, Yi‐Jun, David J. Lee, Chul‐Kee Park, & In Ah Kim. (2019). Optimal extent of resection for glioblastoma according to site, extension, and size: a population-based study in the temozolomide era. Neurosurgical Review. 42(4). 937–950. 11 indexed citations
8.
Lee, David J., et al.. (2018). Is molecular evolution faster in the tropics?. Heredity. 122(5). 513–524. 22 indexed citations
9.
Hegarty, Shane V., David J. Lee, Gerard W. O’Keeffe, & Aideen M. Sullivan. (2017). Effects of intracerebral neurotrophic factor application on motor symptoms in Parkinson's disease: A systematic review and meta-analysis. Parkinsonism & Related Disorders. 38. 19–25. 22 indexed citations
10.
Chang, Ji Hyun, et al.. (2015). MicroRNA-203 Modulates the Radiation Sensitivity of Human Malignant Glioma Cells. International Journal of Radiation Oncology*Biology*Physics. 94(2). 412–420. 50 indexed citations
11.
Zavodszky, Maria I., et al.. (2009). Scoring confidence index: statistical evaluation of ligand binding mode predictions. Journal of Computer-Aided Molecular Design. 23(5). 289–299. 11 indexed citations
12.
Chieng, Billy, et al.. (2008). Functional coupling of μ-receptor-Gαi-tethered proteins in AtT20 cells. Neuroreport. 19(18). 1793–1796. 3 indexed citations
13.
Bengtson, C. Peter, David J. Lee, & Peregrine B. Osborne. (2004). Opposing Electrophysiological Actions of 5-HT on Noncholinergic and Cholinergic Neurons in the Rat Ventral Pallidum In Vitro. Journal of Neurophysiology. 92(1). 433–443. 31 indexed citations
14.
Grinnell, Frederick, et al.. (2003). Dendritic Fibroblasts in Three-dimensional Collagen Matrices. Molecular Biology of the Cell. 14(2). 384–395. 175 indexed citations
15.
Lee, David J., et al.. (2003). Stereoscopic vision calibration for 3D tracking velocimetry based on artificial neural networks. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5191. 39–39. 1 indexed citations
16.
Lee, David J., et al.. (2000). <title>Supersampling multiframe blind deconvolution resolution enhancement of adaptive-optics-compensated imagery of LEO satellites</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4091. 187–205. 1 indexed citations
17.
Lee, David J., et al.. (1997). Evaluation of least-squares phase-diversity technique for space telescope wave-front sensing. Applied Optics. 36(35). 9186–9186. 17 indexed citations
18.
Lee, David J., C. Tyler Burt, & Ronald L. Koch. (1992). Percutaneous Absorption of Flurbiprofen in the Hairless Rat Measured In Vivo Using 19F Magnetic Resonance Spectroscopy. Journal of Investigative Dermatology. 99(4). 431–434. 7 indexed citations
19.
Lee, David J.. (1988). BRIDGING THE ARTISTIC GULF. ACI Concrete International. 10(5). 44–47. 2 indexed citations
20.
Lee, David J., et al.. (1985). Some Conservation Problems Encountered with Turmeric on Ethnographic Objects. Studies in Conservation. 30(4). 184–184. 2 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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