Victor Sai

807 total citations
18 papers, 617 citations indexed

About

Victor Sai is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Victor Sai has authored 18 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Pulmonary and Respiratory Medicine and 3 papers in Surgery. Recurrent topics in Victor Sai's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Medical Imaging Techniques and Applications (3 papers) and Advanced NMR Techniques and Applications (3 papers). Victor Sai is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Medical Imaging Techniques and Applications (3 papers) and Advanced NMR Techniques and Applications (3 papers). Victor Sai collaborates with scholars based in United States, Germany and United Kingdom. Victor Sai's co-authors include Whitney B. Pope, Jonathan Goldin, Grace Hyun J. Kim, Matthew S. Brown, Timothy F. Cloughesy, Syed Rahmanuddin, Jeffry R. Alger, Jonathan R. Young, Paul S. Mischel and Jing Huo and has published in prestigious journals such as Journal of Clinical Oncology, Diabetes and Scientific Reports.

In The Last Decade

Victor Sai

14 papers receiving 606 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Victor Sai United States 10 374 254 85 85 82 18 617
Yang Xiao-li China 8 362 1.0× 362 1.4× 76 0.9× 52 0.6× 188 2.3× 22 786
Chenyang Wang United States 15 265 0.7× 148 0.6× 177 2.1× 172 2.0× 71 0.9× 49 967
R.-I. Ernestus Germany 9 452 1.2× 304 1.2× 89 1.0× 98 1.2× 64 0.8× 16 800
P. K. Julka India 14 339 0.9× 69 0.3× 146 1.7× 104 1.2× 141 1.7× 55 745
PL Jager Netherlands 7 323 0.9× 156 0.6× 141 1.7× 56 0.7× 82 1.0× 23 631
Efstathios D. Gotsis Greece 18 412 1.1× 515 2.0× 75 0.9× 51 0.6× 26 0.3× 31 1.0k
G. K. Rath India 12 212 0.6× 50 0.2× 86 1.0× 74 0.9× 87 1.1× 37 473
DA Piers Netherlands 8 326 0.9× 153 0.6× 153 1.8× 57 0.7× 81 1.0× 25 648
Jeffrey C. Buchsbaum United States 23 286 0.8× 207 0.8× 708 8.3× 121 1.4× 45 0.5× 58 1.2k
Hsiang‐Hung Shih Taiwan 12 245 0.7× 139 0.5× 106 1.2× 204 2.4× 26 0.3× 27 715

Countries citing papers authored by Victor Sai

Since Specialization
Citations

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

Fields of papers citing papers by Victor Sai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victor Sai

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

All Works

18 of 18 papers shown
1.
2.
Sai, Victor, et al.. (2024). BMI Estimation via Facial Image Analysis. 603–606.
3.
Ruchalski, Kathleen, Grace Hyun J. Kim, Michael Douek, et al.. (2023). RECIST 1.1 Target Lesion Categorical Response in Metastatic Renal Cell Carcinoma: A Comparison of Conventional versus Volumetric Assessment. Radiology Imaging Cancer. 5(5). e220166–e220166. 2 indexed citations
4.
Ruchalski, Kathleen, Grace Hyun J. Kim, Michael Douek, et al.. (2022). Pretreatment visceral metastases in castration resistant metastatic prostate cancer: role in prediction versus actual site of disease progression. Cancer Imaging. 22(1). 34–34. 2 indexed citations
5.
Ruchalski, Kathleen, et al.. (2022). Imaging response assessment for oncology: An algorithmic approach. European Journal of Radiology Open. 9. 100426–100426. 6 indexed citations
6.
Wu, Holden H., Yongkai Liu, Dominik Nickel, et al.. (2022). Undersampling artifact reduction for free-breathing 3D stack-of-radial MRI based on a deep adversarial learning network. Magnetic Resonance Imaging. 95. 70–79. 3 indexed citations
7.
Ruchalski, Kathleen, Han Jo Kim, Michael Douek, et al.. (2022). Inter-reader reliability of immune-specific response criteria (irRECIST & iRECIST).. Journal of Clinical Oncology. 40(16_suppl). e21108–e21108.
8.
Ruchalski, Kathleen, Marta Braschi‐Amirfarzan, Michael Douek, et al.. (2021). A Primer on RECIST 1.1 for Oncologic Imaging in Clinical Drug Trials. Radiology Imaging Cancer. 3(3). e210008–e210008. 20 indexed citations
9.
Sai, Victor, et al.. (2020). Gut wrenching: cases of missed gastrointestinal tumors and their mimics on computed tomography. Emergency Radiology. 28(2). 389–399.
10.
Coy, Heidi, Michael Douek, Kathleen Ruchalski, et al.. (2019). Components of Radiologic Progressive Disease Defined by RECIST 1.1 in Patients with Metastatic Clear Cell Renal Cell Carcinoma. Radiology. 292(1). 103–109. 10 indexed citations
11.
Tan, Nelly, Aarti Sekhar, Michael L. Richardson, et al.. (2019). Peer Learning Through Multi-Institutional Web-based Case Conferences: Perceived Value (and Challenges) From Abdominal, Cardiothoracic, and Musculoskeletal Radiology Case Conference Participants. Academic Radiology. 27(11). 1641–1646. 10 indexed citations
12.
Wilson, David M., Valentina Di Gialleonardo, Zhen J. Wang, et al.. (2017). Hyperpolarized 13C Spectroscopic Evaluation of Oxidative Stress in a Rodent Model of Steatohepatitis. Scientific Reports. 7(1). 46014–46014. 14 indexed citations
13.
Keshari, Kayvan R., David M. Wilson, Victor Sai, et al.. (2014). Noninvasive In Vivo Imaging of Diabetes-Induced Renal Oxidative Stress and Response to Therapy Using Hyperpolarized 13C Dehydroascorbate Magnetic Resonance. Diabetes. 64(2). 344–352. 58 indexed citations
14.
Keshari, Kayvan R., Victor Sai, Zhen J. Wang, et al.. (2013). Hyperpolarized [1-13C]Dehydroascorbate MR Spectroscopy in a Murine Model of Prostate Cancer: Comparison with 18F-FDG PET. Journal of Nuclear Medicine. 54(6). 922–928. 44 indexed citations
15.
Sai, Victor, Rebecca Rakow‐Penner, Benjamin M. Yeh, et al.. (2012). Renal cyst pseudoenhancement at 16- and 64-dector row MDCT. Clinical Imaging. 37(3). 520–525. 15 indexed citations
16.
Pōder, Liina, et al.. (2012). Imaging of Nontraumatic Adrenal Hemorrhage. American Journal of Roentgenology. 199(1). W91–W98. 73 indexed citations
17.
Pope, Whitney B., Grace Hyun J. Kim, Jing Huo, et al.. (2009). Recurrent Glioblastoma Multiforme: ADC Histogram Analysis Predicts Response to Bevacizumab Treatment. Radiology. 252(1). 182–189. 272 indexed citations
18.
Ledezma, Carlos J., Wei Chen, Victor Sai, et al.. (2008). 18F-FDOPA PET/MRI fusion in patients with primary/recurrent gliomas: Initial experience. European Journal of Radiology. 71(2). 242–248. 88 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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