Jessica Dai

926 total citations
44 papers, 628 citations indexed

About

Jessica Dai is a scholar working on Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jessica Dai has authored 44 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Pulmonary and Respiratory Medicine, 10 papers in Pediatrics, Perinatology and Child Health and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jessica Dai's work include Kidney Stones and Urolithiasis Treatments (17 papers), Pediatric Urology and Nephrology Studies (10 papers) and Renal cell carcinoma treatment (6 papers). Jessica Dai is often cited by papers focused on Kidney Stones and Urolithiasis Treatments (17 papers), Pediatric Urology and Nephrology Studies (10 papers) and Renal cell carcinoma treatment (6 papers). Jessica Dai collaborates with scholars based in United States, Chile and Canada. Jessica Dai's co-authors include Mathew D. Sorensen, Jonathan D. Harper, David Walker, Thomas S. Lendvay, Seo Yeon Yoon, Sachi Jain, Yadong Huang, William G. Romanow, Helena Chang and Nigel P.C. Walker and has published in prestigious journals such as PLoS ONE, The Journal of the Acoustical Society of America and The Journal of Urology.

In The Last Decade

Jessica Dai

43 papers receiving 620 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jessica Dai United States 12 185 183 102 87 81 44 628
Michael Preuß United States 15 193 1.0× 520 2.8× 143 1.4× 81 0.9× 80 1.0× 32 1.1k
Feng Guo China 15 177 1.0× 281 1.5× 90 0.9× 173 2.0× 153 1.9× 69 943
Shin Hye Yoo South Korea 17 112 0.6× 286 1.6× 82 0.8× 82 0.9× 46 0.6× 70 994
M Pâquet Canada 13 99 0.5× 227 1.2× 210 2.1× 37 0.4× 149 1.8× 26 920
Shuang Bai China 18 113 0.6× 214 1.2× 65 0.6× 40 0.5× 61 0.8× 61 1.1k
Tobias Ankermann Germany 16 229 1.2× 76 0.4× 110 1.1× 117 1.3× 77 1.0× 52 677
Nora Lee United States 16 63 0.3× 160 0.9× 110 1.1× 92 1.1× 43 0.5× 47 756
Haibo Zhang China 17 235 1.3× 171 0.9× 166 1.6× 32 0.4× 63 0.8× 63 1.1k
Helbert Rondon‐Berrios United States 19 518 2.8× 355 1.9× 195 1.9× 45 0.5× 161 2.0× 45 1.0k
Michael Ntim China 15 86 0.5× 177 1.0× 51 0.5× 73 0.8× 60 0.7× 31 654

Countries citing papers authored by Jessica Dai

Since Specialization
Citations

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

Fields of papers citing papers by Jessica Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jessica Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Jessica Dai. A scholar is included among the top collaborators of Jessica Dai 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 Jessica Dai. Jessica Dai 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.
Ávila, Ariel, Jessica Dai, Xing Gao, et al.. (2025). Protein interacting with C-kinase 1 (PICK1) regulates synaptic function and reversal learning in a mouse model for schizophrenia. Neuropsychopharmacology. 50(10). 1553–1563.
2.
Sorensen, Mathew D., Barbrina Dunmire, Jeff Thiel, et al.. (2024). Randomized Controlled Trial of Ultrasonic Propulsion–Facilitated Clearance of Residual Kidney Stone Fragments vs Observation. The Journal of Urology. 212(6). 811–820. 2 indexed citations
3.
Xi, Yin, Payal Kapur, Hua Zhong, et al.. (2024). Characterization of Demographical Histologic Diversity in Small Renal Masses With the Clear Cell Likelihood Score. Journal of Computer Assisted Tomography. 48(3). 370–377. 1 indexed citations
4.
Dai, Jessica, et al.. (2023). Evaluating robotic-assisted partial nephrectomy surgeons with fully convolutional segmentation and multi-task attention networks. Journal of Robotic Surgery. 17(5). 2323–2330. 2 indexed citations
5.
Dai, Jessica, Naim M. Maalouf, Kathy Hill, et al.. (2022). Alkali Citrate Content of Common Over-the-Counter and Medical Food Supplements. Journal of Endourology. 37(1). 112–118. 7 indexed citations
6.
Dai, Jessica, Ramy Goueli, Alexander P. Kenigsberg, et al.. (2021). MRI Features Associated with Histology of Benign Prostatic Hyperplasia Nodules: Generation of a Predictive Model. Journal of Endourology. 36(3). 381–386. 4 indexed citations
7.
Dai, Jessica, et al.. (2021). Radiofrequency Ablation of Small Renal Masses. Journal of Endourology. 35(2_suppl). S–38. 3 indexed citations
8.
Dai, Jessica, et al.. (2021). Irreversible Electroporation for the Treatment of Small Renal Masses: 5-Year Outcomes. Journal of Endourology. 35(11). 1586–1592. 7 indexed citations
9.
Dai, Jessica, et al.. (2021). Evaluating robotic-assisted surgery training videos with multi-task convolutional neural networks. Journal of Robotic Surgery. 16(4). 917–925. 10 indexed citations
10.
11.
Nicholson, Tristan M., Jessica Dai, Jennifer M. Taylor, et al.. (2020). Women in Leadership in Urology: The Case for Increasing Diversity and Equity. Urology. 150. 16–24. 21 indexed citations
12.
Dai, Jessica, Mathew D. Sorensen, Helena Chang, et al.. (2019). Quantitative Assessment of Effectiveness of Ultrasonic Propulsion of Kidney Stones. Journal of Endourology. 33(10). 850–857. 12 indexed citations
13.
Dai, Jessica, Nnenaya A. Mmonu, & Adam B. Hittelman. (2019). Strategies for Attracting Women and Underrepresented Minorities in Urology. Current Urology Reports. 20(10). 61–61. 33 indexed citations
14.
Dai, Jessica, Barbrina Dunmire, Ziyue Liu, et al.. (2018). Measurement of Posterior Acoustic Stone Shadow on Ultrasound Is a Learnable Skill for Inexperienced Users to Improve Accuracy of Stone Sizing. Journal of Endourology. 32(11). 1033–1038. 4 indexed citations
15.
Dai, Jessica, Wayne Brisbane, Helena Chang, Ryan S. Hsi, & Jonathan D. Harper. (2018). Anaphylactoid Reactions After Instillation of Contrast Material Into the Urinary Tract: A Survey of Contemporary Practice Patterns and Review of the Literature. Urology. 122. 58–63. 4 indexed citations
16.
Dai, Jessica, Barbrina Dunmire, Kevan Sternberg, et al.. (2017). Retrospective comparison of measured stone size and posterior acoustic shadow width in clinical ultrasound images. World Journal of Urology. 36(5). 727–732. 21 indexed citations
17.
Macleod, Liam C., Jessica Dai, Sarah K. Holt, et al.. (2015). Underuse and underreporting of smoking cessation for smokers with a new urologic cancer diagnosis. Urologic Oncology Seminars and Original Investigations. 33(12). 504.e1–504.e7. 10 indexed citations
18.
Dai, Jessica, et al.. (2013). Critical Analysis of a New Generation Electrohydraulic Lithotripter: A Single Institution Experience with the Medispec E3000. Journal of Endourology. 27(7). 903–907. 1 indexed citations
19.
Wang, Zhulun, Xiaoshan Min, Shou-Hua Xiao, et al.. (2013). Molecular Basis of Sphingosine Kinase 1 Substrate Recognition and Catalysis. Structure. 21(5). 798–809. 146 indexed citations
20.
Napoli, Anthony M., et al.. (2013). Racial Disparities in Stress Test Utilization in an Emergency Department Chest Pain Unit. Critical Pathways in Cardiology A Journal of Evidence-Based Medicine. 12(1). 9–13. 19 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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