Kyle Lee

3.7k total citations · 1 hit paper
42 papers, 803 citations indexed

About

Kyle Lee is a scholar working on Nuclear and High Energy Physics, Molecular Biology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Kyle Lee has authored 42 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Nuclear and High Energy Physics, 3 papers in Molecular Biology and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Kyle Lee's work include Particle physics theoretical and experimental studies (21 papers), High-Energy Particle Collisions Research (20 papers) and Quantum Chromodynamics and Particle Interactions (16 papers). Kyle Lee is often cited by papers focused on Particle physics theoretical and experimental studies (21 papers), High-Energy Particle Collisions Research (20 papers) and Quantum Chromodynamics and Particle Interactions (16 papers). Kyle Lee collaborates with scholars based in United States, Canada and China. Kyle Lee's co-authors include Shea Garrison-Kimmel, James S. Bullock, Michael Boylan-Kolchin, Felix Ringer, Zhong-Bo Kang, James Declan Mulligan, Xiaojun Yao, Xiaohui Liu, Mateusz Andrzej Ploskon and F. Zhao and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Kyle Lee

40 papers receiving 790 citations

Hit Papers

Conformal collider physics meets LHC data 2025 2026 2025 5 10 15 20

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyle Lee United States 16 354 242 113 78 73 42 803
Eric Howard Australia 14 219 0.6× 297 1.2× 8 0.1× 149 1.9× 54 0.7× 53 646
J. P. Yuan China 18 195 0.6× 719 3.0× 5 0.0× 65 0.8× 53 0.7× 103 1.1k
Fabrizio Renzi Italy 12 167 0.5× 241 1.0× 12 0.1× 149 1.9× 113 1.5× 22 595
C. Boisson France 18 637 1.8× 773 3.2× 66 0.6× 21 0.3× 10 0.1× 75 1.1k
De Bruyn Netherlands 13 256 0.7× 446 1.8× 45 0.4× 8 0.1× 25 0.3× 29 573
Katie Auchettl United States 20 426 1.2× 1.1k 4.6× 113 1.0× 30 0.4× 61 0.8× 55 1.4k
Peter Sullivan United States 7 25 0.1× 283 1.2× 133 1.2× 37 0.5× 70 1.0× 17 519
P. Parisi Italy 16 211 0.6× 515 2.1× 83 0.7× 9 0.1× 19 0.3× 31 815
N. A. Walton United Kingdom 17 65 0.2× 576 2.4× 200 1.8× 28 0.4× 29 0.4× 82 736
Donald Hamilton United States 20 115 0.3× 800 3.3× 410 3.6× 44 0.6× 66 0.9× 44 1.4k

Countries citing papers authored by Kyle Lee

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyle Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle Lee. A scholar is included among the top collaborators of Kyle 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 Kyle Lee. Kyle 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.
Lee, Kyle, et al.. (2025). Effective field theory factorization for diffraction. Journal of High Energy Physics. 2025(11).
2.
Lee, Kyle, et al.. (2025). Small radius inclusive jet production at the LHC through NNLO+NNLL. Journal of High Energy Physics. 2025(8). 1 indexed citations
3.
Lee, Kyle, et al.. (2025). Quantum computing for energy correlators. Physical review. D. 111(5). 4 indexed citations
4.
Lee, Kyle, Ian Moult, & Xiaoyuan Zhang. (2025). Revisiting single inclusive jet production: timelike factorization and reciprocity. Journal of High Energy Physics. 2025(5). 6 indexed citations
5.
Kang, Zhong-Bo, Kyle Lee, Ding Yu Shao, & F. Zhao. (2024). Probing transverse momentum dependent structures with azimuthal dependence of energy correlators. Journal of High Energy Physics. 2024(3). 13 indexed citations
6.
Lee, Kyle, Ian Moult, Felix Ringer, & Wouter J. Waalewijn. (2024). A formalism for extracting track functions from jet measurements. Journal of High Energy Physics. 2024(1). 6 indexed citations
7.
Lee, Kyle, et al.. (2024). Nonperturbative Effects in Energy Correlators: From Characterizing Confinement Transition to Improving αs Extraction. Physical Review Letters. 133(23). 231902–231902. 17 indexed citations
8.
Lee, Kyle, James Declan Mulligan, Mateusz Andrzej Ploskon, Felix Ringer, & Feng Yuan. (2023). Machine learning-based jet and event classification at the Electron-Ion Collider with applications to hadron structure and spin physics. Journal of High Energy Physics. 2023(3). 17 indexed citations
9.
Lee, Kyle, Jian-Wei Qiu, George Sterman, & K. Watanabe. (2022). QCD factorization for hadronic quarkonium production at high $p_T$. SHILAP Revista de lepidopterología. 5 indexed citations
10.
Fleming, Patrick, et al.. (2021). The COVID-19 pandemic and its skin effects. Canadian Family Physician. 67(8). 582–587. 2 indexed citations
11.
Aschenauer, E. C., Kyle Lee, B. S. Page, & Felix Ringer. (2020). Jet angularities in photoproduction at the Electron-Ion Collider. Physical review. D. 101(5). 23 indexed citations
12.
Kang, Zhong-Bo, Kyle Lee, Xiaohui Liu, & Felix Ringer. (2019). Soft drop groomed jet angularities at the LHC. Physics Letters B. 793. 41–47. 32 indexed citations
13.
Lee, Kyle, et al.. (2017). A second look at transition amplitudes in (2  +  1)-dimensional causal dynamical triangulations. Classical and Quantum Gravity. 34(11). 115008–115008. 2 indexed citations
14.
Benin, Andrea L., et al.. (2016). Electronic approaches to making sense of the text in the adverse event reporting system. Journal of Healthcare Risk Management. 36(2). 10–20. 10 indexed citations
15.
Campbell, Brendan T., et al.. (2015). Current trends in the surgical treatment of pediatric ovarian torsion: we can do better. Journal of Pediatric Surgery. 50(8). 1374–1377. 32 indexed citations
16.
Brewer, Mark, et al.. (2012). Divinus Lux Observatory Bulletin: Report #25. 8(3). 184–185. 1 indexed citations
17.
Curiel, Laura, Kyle Lee, Samuel Pichardo, et al.. (2010). Sonoporation of Cervical Carcinoma Cells Affected with E6-Oncoprotein for the Treatment of Uterine Cancer. AIP conference proceedings. 119–122. 2 indexed citations
18.
Singh, Avash, Minesh Khashu, Kyle Lee, et al.. (2010). Vitamin A Is Systemically Bioavailable After Intratracheal Administration With Surfactant in an Animal Model of Newborn Respiratory Distress. Pediatric Research. 67(6). 619–623. 9 indexed citations
19.
Berry, Kalen, et al.. (2008). Paradigms for Pharmacological Characterization of C. elegans Synaptic Transmission Mutants. Journal of Visualized Experiments. 13 indexed citations
20.
Mao, Xinliang, A. Keith Stewart, Rose Hurren, et al.. (2007). A chemical biology screen identifies glucocorticoids that regulate c-maf expression by increasing its proteasomal degradation through up-regulation of ubiquitin. Blood. 110(12). 4047–4054. 51 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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