Shadie Badaan

561 total citations · 1 hit paper
9 papers, 355 citations indexed

About

Shadie Badaan is a scholar working on Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health and Surgery. According to data from OpenAlex, Shadie Badaan has authored 9 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 3 papers in Pediatrics, Perinatology and Child Health and 2 papers in Surgery. Recurrent topics in Shadie Badaan's work include Kidney Stones and Urolithiasis Treatments (4 papers), Pediatric Urology and Nephrology Studies (3 papers) and Urinary Tract Infections Management (2 papers). Shadie Badaan is often cited by papers focused on Kidney Stones and Urolithiasis Treatments (4 papers), Pediatric Urology and Nephrology Studies (3 papers) and Urinary Tract Infections Management (2 papers). Shadie Badaan collaborates with scholars based in Israel, United States and Canada. Shadie Badaan's co-authors include Sero Andonian, Mostafa Elhilali, Ahmed Ibrahim, Pierre Mozer, Diana Gaitini, Yael Yagil, Doru Petrisor, Inna Naroditsky, Ronit Leiba and Dan Stoianovici and has published in prestigious journals such as The Journal of Urology, Fertility and Sterility and Urology.

In The Last Decade

Shadie Badaan

9 papers receiving 345 citations

Hit Papers

Use of the Moses Technology to Improve Holmium Laser Lith... 2017 2026 2020 2023 2017 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shadie Badaan Israel 6 223 115 114 63 62 9 355
Arman Tsaturyan Greece 13 312 1.4× 187 1.6× 117 1.0× 84 1.3× 45 0.7× 74 430
H. Vandeursen Belgium 11 302 1.4× 142 1.2× 112 1.0× 146 2.3× 36 0.6× 32 478
Samuel Chun Canada 8 200 0.9× 112 1.0× 207 1.8× 71 1.1× 15 0.2× 14 452
C. Chaussy Germany 8 310 1.4× 163 1.4× 61 0.5× 73 1.2× 48 0.8× 20 444
Kristian M. Black United States 8 214 1.0× 121 1.1× 29 0.3× 40 0.6× 48 0.8× 21 323
Н. И. Сорокин Russia 9 252 1.1× 109 0.9× 49 0.4× 164 2.6× 15 0.2× 63 364
Luke A. Hardy United States 12 326 1.5× 146 1.3× 29 0.3× 109 1.7× 32 0.5× 29 461
Д. Г. Цариченко Russia 9 322 1.4× 173 1.5× 43 0.4× 159 2.5× 13 0.2× 55 398
Adam G. Kaplan United States 13 275 1.2× 158 1.4× 110 1.0× 36 0.6× 47 0.8× 27 396
Alim Dymov Russia 7 233 1.0× 101 0.9× 32 0.3× 140 2.2× 12 0.2× 39 311

Countries citing papers authored by Shadie Badaan

Since Specialization
Citations

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

Fields of papers citing papers by Shadie Badaan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shadie Badaan

This figure shows the co-authorship network connecting the top 25 collaborators of Shadie Badaan. A scholar is included among the top collaborators of Shadie Badaan 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 Shadie Badaan. Shadie Badaan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Badaan, Shadie, et al.. (2019). Tailoring Antibiotic Prophylaxis for Ureteroscopic Procedures Based on Local Resistance Profiles May Lead to Reduced Rates of Infections and Urosepsis. Urologia Internationalis. 104(1-2). 106–112. 8 indexed citations
2.
Elhilali, Mostafa, Shadie Badaan, Ahmed Ibrahim, & Sero Andonian. (2017). Use of the Moses Technology to Improve Holmium Laser Lithotripsy Outcomes: A Preclinical Study. Journal of Endourology. 31(6). 598–604. 159 indexed citations breakdown →
3.
Mullerad, Michael, et al.. (2017). Initial Clinical Experience with a Modulated Holmium Laser Pulse—Moses Technology: Does It Enhance Laser Lithotripsy Efficacy?. Rambam Maimonides Medical Journal. 8(4). e0038–e0038. 35 indexed citations
4.
Elhilali, Mostafa, et al.. (2017). PD30-11 USE OF MOSES PULSE MODULATION TECHNOLOGY TO IMPROVE HOLMIUM LASER LITHOTRIPSY OUTCOMES: A PRECLINICAL STUDY. The Journal of Urology. 197(4S). 1 indexed citations
5.
Zisman, Anna L., et al.. (2017). Tailoring antibiotic prophylaxis for ureteroscopic procedures based on local resistance profiles may lead to reduced rates of infections and urosepsis. European Urology Supplements. 16(3). e577–e578. 2 indexed citations
6.
Han, Misop, Chunwoo Kim, Pierre Mozer, et al.. (2010). Tandem-robot Assisted Laparoscopic Radical Prostatectomy to Improve the Neurovascular Bundle Visualization: A Feasibility Study. Urology. 77(2). 502–506. 47 indexed citations
7.
Yagil, Yael, et al.. (2010). Role of Doppler Ultrasonography in the Triage of Acute Scrotum in the Emergency Department. Journal of Ultrasound in Medicine. 29(1). 11–21. 62 indexed citations
8.
Pollock, Richard A., Pierre Mozer, Thomas J. Guzzo, et al.. (2010). Prospects in Percutaneous Ablative Targeting: Comparison of a Computer-Assisted Navigation System and the AcuBot Robotic System. Journal of Endourology. 24(8). 1269–1272. 40 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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