S. Gates

460 total citations · 1 hit paper
7 papers, 362 citations indexed

About

S. Gates is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, S. Gates has authored 7 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 5 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Surgery. Recurrent topics in S. Gates's work include Prostate Cancer Diagnosis and Treatment (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and MRI in cancer diagnosis (2 papers). S. Gates is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and MRI in cancer diagnosis (2 papers). S. Gates collaborates with scholars based in United States and Finland. S. Gates's co-authors include Julia K. Locklin, Angelo A. Baccala, Pingkun Yan, Joanna H. Shih, Samuel Kadoury, Bradford J. Wood, Compton J. Benjamin, Sheng Xu, Ardeshir R. Rastinehad and Gennady Bratslavsky and has published in prestigious journals such as The Journal of Urology and Journal of Vascular and Interventional Radiology.

In The Last Decade

S. Gates

7 papers receiving 354 citations

Hit Papers

Magnetic Resonance Imaging/Ultrasound Fusion Guided Prost... 2011 2026 2016 2021 2011 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Gates United States 3 313 147 117 36 36 7 362
E. Potiron France 5 300 1.0× 115 0.8× 112 1.0× 43 1.2× 19 0.5× 12 330
Pooria Khoshnoodi United States 10 371 1.2× 166 1.1× 127 1.1× 57 1.6× 38 1.1× 21 444
Arnaud Marien United States 7 283 0.9× 85 0.6× 122 1.0× 44 1.2× 37 1.0× 16 333
Lucy Simmons United Kingdom 12 417 1.3× 161 1.1× 158 1.4× 56 1.6× 26 0.7× 20 495
Robert Villani United States 8 452 1.4× 235 1.6× 187 1.6× 37 1.0× 26 0.7× 13 522
Kareem Rayn United States 9 342 1.1× 131 0.9× 143 1.2× 39 1.1× 17 0.5× 26 386
Damien Mouton France 4 285 0.9× 145 1.0× 108 0.9× 44 1.2× 18 0.5× 6 329
Wulphert Venderink Netherlands 8 325 1.0× 130 0.9× 138 1.2× 32 0.9× 14 0.4× 13 370
Walter Taubenslag United States 7 458 1.5× 99 0.7× 207 1.8× 91 2.5× 39 1.1× 8 485
Hugo Andreini United States 7 463 1.5× 99 0.7× 210 1.8× 92 2.6× 39 1.1× 9 491

Countries citing papers authored by S. Gates

Since Specialization
Citations

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

Fields of papers citing papers by S. Gates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Gates

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

All Works

7 of 7 papers shown
1.
Yerram, Nitin, Dmitry Volkin, Srinivas Vourganti, et al.. (2012). 2053 MULTIPARAMETRIC MAGNETIC RESONANCE IMAGING AND ULTRASOUND FUSION BIOPSY DETECTS PROSTATE CANCER IN PATIENTS WITH PRIOR NEGATIVE TRUS BIOPSIES. The Journal of Urology. 187(4S). 1 indexed citations
2.
Amalou, Hayet, Nadine Abi‐Jaoudeh, Aradhana M. Venkatesan, et al.. (2012). Abstract No. 71: Fusion guided biopsy or ablation: clinical trial update in 461 patients. Journal of Vascular and Interventional Radiology. 23(3). S32–S32. 1 indexed citations
3.
Pinto, Peter A., Paul H. Chung, Ardeshir R. Rastinehad, et al.. (2011). Magnetic Resonance Imaging/Ultrasound Fusion Guided Prostate Biopsy Improves Cancer Detection Following Transrectal Ultrasound Biopsy and Correlates With Multiparametric Magnetic Resonance Imaging. The Journal of Urology. 186(4). 1281–1285. 351 indexed citations breakdown →
4.
Rastinehad, Ardeshir R., Jochen Kruecker, Compton J. Benjamin, et al.. (2011). 846 MRI/US FUSION PROSTATE BIOPSIES: CANCER DETECTION RATES. The Journal of Urology. 185(4S). 5 indexed citations
5.
Kruecker, Jochen, Sheng Xu, Barış Türkbey, et al.. (2010). Abstract No. 62: TRUS/MRI fusion-targeted prostate biopsy results correlate with MRI suspicion level. Journal of Vascular and Interventional Radiology. 21(2). S25–S26. 2 indexed citations
6.
Baccala, Angelo A., Ardeshir R. Rastinehad, Paul H. Chung, et al.. (2010). 303 INCREASED YIELD OF CANCER DETECTION WITH EMRI/US GUIDED FUSED BIOPSY IN PATIENTS WITH PREVIOUS NEGATIVE BIOPSY. The Journal of Urology. 183(4S). 1 indexed citations
7.
Rastinehad, Ardeshir R., Angelo A. Baccala, Paul H. Chung, et al.. (2010). 302 DOES D'AMICO RISK STRATIFICATION CORRELATE WITH DEGREE OF SUSPICION OF PROSTATE CANCER ON MULTI-PARAMETRIC MAGNETIC RESONANCE IMAGING (MRI)?. The Journal of Urology. 183(4S). 1 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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